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<br><h4>Overview</h4><p>At LMI, we’re building mission-ready AI that delivers impact where it matters most. Our <strong>Forward Deployed AI Engineers</strong> embed with government partners to tackle high-priority, fast-moving challenges—designing and deploying AI solutions that accelerate decisions, uncover anomalies, and unlock the power of our LIGER generative AI (GenAI) platform.&nbsp;</p><p>Like a startup CTO in the field, you’ll wear many hats: part software engineer, part AI architect, part problem solver. You’ll operate with autonomy, adapt to shifting requirements, and bring technical clarity to ambiguous problems—all while collaborating with mission stakeholders, software engineers, and the Chief Product Officer team. If you thrive at the intersection of customer impact, technical excellence, and operational speed, this role offers the chance to deliver AI that matters.&nbsp;</p><p>This role requires <strong>an ActiveSecret security clearance</strong> and availability to collocate with our defense and national security customers in the Pentagon.&nbsp;</p><p>LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</p><p><br>Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</p><h4>Responsibilities</h4><ul><li><strong>Own technical delivery:</strong> Drive AI solution design and implementation across multiple government deployments, from first prototype to stable mission use.&nbsp;</li></ul><ul><li><strong>Embed with customers:</strong> Serve as a technical thought partner to mission stakeholders, guiding adoption, maximizing impact, and ensuring successful deployments.&nbsp;</li></ul><ul><li><strong>Build GenAI-enabled systems:</strong> Prototype and implement pipelines using Python, TypeScript, or comparable stacks aligned to customer mission needs.&nbsp;</li></ul><ul><li><strong>Guide value realization:</strong> Help customers understand trade-offs, sequence delivery, and adapt applications to achieve operational outcomes.&nbsp;</li></ul><ul><li><strong>Deliver clarity under ambiguity:</strong> Scope projects, remove blockers, and make informed trade-offs between speed, scope, and quality.&nbsp;</li></ul><ul><li><strong>Contribute directly in code:</strong> Write and review software across backend and full-stack environments when clarity or momentum depends on it.&nbsp;</li></ul><ul><li><strong>Codify patterns:</strong> Capture reusable workflows, best practices, and lessons learned into playbooks, tools, and building blocks that scale beyond a single project.&nbsp;</li></ul><ul><li><strong>Shape the roadmap:</strong> Share field signal with LMI’s product and research teams to guide the evolution of LIGER and related AI capabilities.&nbsp;</li></ul><h4>Qualifications</h4><p><strong>Minimum Qualifications&nbsp;</strong></p><ul><li>Bachelor’s degree in Computer Science, Data Science, or a related technical field (or equivalent practical experience).&nbsp;</li></ul><ul><li>5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments.&nbsp;</li></ul><ul><li>Hands-on experience building and deploying applications that integrate AI/LLMs, APIs, and data pipelines.&nbsp;</li></ul><ul><li>Strong programming skills in Python and proficiency in a modern full-stack environment (e.g., JavaScript/TypeScript, MEAN, Node.js).&nbsp;</li></ul><ul><li>Familiarity with cloud deployment (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, etc.).&nbsp;</li></ul><ul><li>Ability to translate customer needs into actionable technical approaches and deliver solutions in fast-moving or ambiguous contexts.&nbsp;</li></ul><ul><li>Excellent problem-solving, judgment, and communication skills, with ability to engage technical and non-technical stakeholders alike.&nbsp;</li></ul><ul><li><strong>Must have an active Secret security clearance.</strong></li></ul><p><strong>Desired Qualifications&nbsp;</strong></p><ul><li>Master’s degree in Computer Science, Data Science, or related technical field.&nbsp;</li></ul><ul><li>Experience deploying systems powered by generative AI (LLMs, RAG architectures, Model Context Protocol) in sensitive or mission-critical settings.&nbsp;</li></ul><ul><li>Proven track record of scoping and delivering complex systems under tight timelines.&nbsp;</li></ul><ul><li>Familiarity with DevSecOps practices, CI/CD, and secure software development for government environments.&nbsp;</li></ul><ul><li>Demonstrated ability to simplify complexity, anticipate risks, and provide clarity in high-stakes environments.&nbsp;</li></ul><p>Target salary range: $130,986 - $233,154</p><p>The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.</p><p>#LI-SH1</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Forward Deployed AI Engineer - Clearance Required

<br><h4>Overview</h4><p>LMI is seeking a <strong>Full-Stack Engineer</strong> to join the RAPTR Platform development team. RAPTR is a next-generation modeling and simulation platform, designed to help solve the U.S. government’s toughest mission and operational challenges. This role will focus on building cloud-native orchestration, compute, and scalability for RAPTR and its modeling and simulation engine, RSIM.&nbsp;</p><p>LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</p><p>Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</p><p><strong>This is a 100% remote role with quarterly travel for in person team planning and collaboration events.&nbsp;</strong><strong>This position requires the ability to obtain a Secret clearance. You must be a U.S. citizen.</strong></p><h4>Responsibilities</h4><ul><li><strong>Architect and Refine Backend Systems:</strong> Take the lead in developing and updating the backend code for diverse Python-based applications, ensuring high performance and scalability. &nbsp;</li></ul><ul><li><strong>Craft and Deploy Python Code:</strong> Write, design, and implement robust, clean Python code that drives our applications forward. &nbsp;</li></ul><ul><li><strong>Ensure Code Quality:</strong> Develop and conduct unit tests for product components, maintaining a commitment to quality and reliability. &nbsp;</li></ul><ul><li><strong>Collaborative Development:</strong> Work closely with our software development team using GitLab to enhance collaboration and streamline workflows. &nbsp;</li></ul><ul><li><strong>Strategic Stakeholder Engagement:</strong> Regularly meet with internal managers and external customers to discuss software challenges and collaboratively devise innovative solutions. &nbsp;</li></ul><ul><li><strong>Code Excellence:</strong> Write original code and refine existing codebases, ensuring all developments meet rigorous program requirements. &nbsp;</li></ul><ul><li><strong>Detail-Oriented Practices:</strong> Apply a methodical approach to documenting and testing your code, ensuring flawless functionality. &nbsp;</li></ul><ul><li><strong>Adaptive Work Style:</strong> Thrive in a flexible work environment, whether you’re driving initiatives independently or as an integral part of our team. &nbsp;</li></ul><h4>Qualifications</h4><ul><li>5-10 years of directly related experience &nbsp;</li></ul><ul><li>Bachelor's degree in Computer Science or related field and/or equivalent work experience &nbsp;</li></ul><ul><li>Minimum 2-years’ experience with Python development with web frameworks &nbsp;</li></ul><ul><li>Minimum 2-years’ experience working with Object Oriented Programming (OOP) and Service Oriented Architecture &nbsp;</li></ul><ul><li>Experience planning, analyzing, designing, implementing, testing, and maintaining software applications for an enterprise level system.  &nbsp;</li></ul><ul><li>Experience using industry guidelines and best practices for developing software including Git, Agile methodologies, CI/CD, and automated deployments. &nbsp;</li></ul><ul><li>Excellent verbal and written communication skills &nbsp;</li></ul><ul><li>Eligibility for a security clearance is required</li></ul><p><strong>Preferred:</strong>&nbsp;</p><ul><li>Master’s degree in Computer Science, Software Engineering, Information Systems, or related field &nbsp;</li></ul><ul><li>Knowledge of Node.js and javascript programming language  &nbsp;</li></ul><ul><li>Knowledge of Postgres &nbsp;</li></ul><ul><li>Experience developing applications for classified data &nbsp;</li><li>Experience integrating machine learning and analytical tools &nbsp;</li></ul><p>Target salary range: $109,986 - $189,154</p><p>The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Full-Stack Engineer

<br><h4>Overview</h4><p>LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</p><p>Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</p><p><strong>Who We Are</strong></p><p>We’re not here to maintain the status quo – we’re here to rewrite it and innovate at the pace of need. Our team is laser-focused on creating cutting-edge RFID solutions for the DoD that bring passive and active RFID tech to life, solving tough integration challenges across global sites. We're a no-bench, get-after-it kind of company where initiative is rewarded, and innovation is our default setting. If you’re ready to dive in, take ownership, and ship real value, keep reading.</p><p><strong>The Opportunity</strong><br>We’re looking for a Platform Engineer with significant experience in Azure to help us build and support the core infrastructure that powers our Navy logistics and asset visibility platform. You’ll help design, deploy, and maintain a Platform-as-a-Service (PaaS) environment that runs containerized apps across hybrid and multi-cloud environments. You'll work closely with developers, DevSecOps engineers, and Navy users to ensure stability, security, and speed.</p><p>This is a remote-first role with limited travel. Prior Navy or DoD software delivery experience is a huge plus.</p><p><strong>This position requires a secret clearance.</strong></p><h4>Responsibilities</h4><p><strong>What You'll Do</strong></p><ul><li>Design, deploy, and manage the infrastructure behind our apps—across Azure, AWS GovCloud, edge, and Navy networks.</li><li>Automate deployments and environment provisioning using tools like Terraform, Ansible, Gitlab, and AWS CodePipeline.</li><li>Stand up and secure Kubernetes clusters (Rancher, Helm) and support containerized apps in production.</li><li>Monitor performance and troubleshoot issues using tools like Grafana, Prometheus, Splunk, or ELK.</li><li>Work across environments and stacks to ensure apps are secure, scalable, and resilient.</li><li>Help write and maintain scripts or lightweight apps to support system automation and integration.</li><li>Support ATO and cybersecurity requirements, including ICAM integration and container-level hardening.</li><li>Contribute to a team that ships secure, production-grade capabilities to the mission at speed.</li></ul><h4>Qualifications</h4><p><strong>What We’re Looking For</strong></p><ul><li>Active Secret clearance or higher.</li><li>3+ years of experience in DevSecOps, infrastructure automation, or platform engineering.</li><li>Bachelor's degree in Computer Science or related technical field.</li><li>Security+ or equivalent</li><li>Strong background in Linux and containerized environments.</li><li>Proficiency with Kubernetes and container orchestration engines (EKS, AKS, GKE, OpenShift).</li><li>Hands-on experience with Terraform, Ansible, CloudFormation, or similar IaC tools.</li><li>Familiarity with secure software development lifecycles and Agile practices.</li><li>2+ years of experience writing code (C#, Python, or similar).</li><li>Deep understanding of version control, rollback strategies, and artifact promotion.</li><li>Experience integrating static and dynamic code scanning tools into build pipelines.</li></ul><p><strong>Bonus Points For:</strong></p><ul><li>AWS or Azure Associate certification.</li><li>Past involvement in FedRAMP, FISMA, or RMF ATO processes.</li><li>Previous support of U.S. Navy systems or logistics platforms.</li></ul><p>Target salary range: $140,000.00 - $200,000.00. DISCLAIMER: Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Platform Engineer - Clearance Required

<br><h4>Overview</h4><p>We are seeking an <strong>Applied Mission Engineer</strong> to join a multidisciplinary team supporting the Department of Homeland Security (DHS) Customs and Border Protection (CBP) Program Management Office (PMO). This role is ideal for engineers who are passionate about applying technical expertise to real-world national security challenges and advancing mission-critical capabilities through research, evaluation, and informed decision-making. <strong>This position requires </strong><strong>U.S. citizenship and the ability to obtain a CBP Background Investigation (BI) is required; active CBP BI preferred. This position requires 20% travel that may entail remote and rugged areas.</strong></p><p>The Applied Engineer will work closely with CBP stakeholders, program managers, and technical experts to assess technologies, guide development efforts, inform program strategies, and enable effective deployment of integrated systems. This includes both field-focused technical assessments and the development of supporting engineering and programmatic documentation. The ideal candidate has experience with research, development, test, and evaluation (RDT&amp;E), and can bridge the gap between emerging capability and mission utility.</p><p>LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</p><p>Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</p><h4>Responsibilities</h4><ul><li><strong>Apply subject matter expertise</strong><strong>and evaluate a wide range of border security technologies</strong> to inform investment decisions, support test and evaluation, and ensure operational relevance. Areas of focus may include: </li><ul><li><strong>Surveillance Systems:</strong> Day/night electro-optical (EO) cameras, infrared (IR) and thermal imaging systems, wide-area motion imagery (WAMI), and ground surveillance radar.</li><li><strong>Sensor Networks:</strong> Seismic, acoustic, and vibration-based ground sensors; sensor towers; and integrated multi-sensor systems for tracking and perimeter awareness.</li><li><strong>Counter-Unmanned Aircraft Systems (cUAS):</strong> RF detection and mitigation systems, radar tracking, EO/IR cueing sensors, and kinetic or non-kinetic interceptors.</li><li><strong>Mobile and Fixed Platforms:</strong> Surveillance-equipped vehicles, unmanned ground systems (e.g., robotic scouts), and autonomous observation towers or drones.</li><li><strong>Biometric and Identity Solutions:</strong> Facial recognition systems, mobile biometric collection kits, and multimodal screening technologies.</li><li><strong>Non-Intrusive Inspection Systems (NII):</strong> Vehicle and cargo scanning systems using X-ray, gamma-ray, or neutron-based inspection technologies, as well as trace detection for narcotics or explosives.</li><li><strong>Environmental and Infrastructure Technologies:</strong> Terrain monitoring tools, smart barriers, and environmental sensors that affect system placement, coverage, and performance.</li></ul><li><strong>Evaluate technical content</strong> from industry and government sources, including RFI responses, proposals, white papers, technology demonstration plans, and contractor deliverables.</li><li><strong>Plan and execute technical demonstrations, field tests, and system evaluations</strong>, including data collection, performance analysis, and results interpretation.</li><li><strong>Conduct structured technology assessments and capability reviews</strong> to identify and analyze emerging technologies with potential mission impact.</li><li><strong>Translate operational and mission needs into technical requirements</strong> and actionable engineering guidance in collaboration with CBP mission stakeholders.</li><li><strong>Develop technical reports, white papers, and decision briefings</strong> to support investment planning and acquisition strategies.</li><li><strong>Support engineering and program planning</strong> by contributing to key program artifacts, including: Systems Engineering Life Cycle (SELC) tailoring plans, Systems Engineering Plans (SEP), Test and Evaluation Master Plans (TEMP), and Integrated Master Schedules (IMS)</li><li><strong>Assist in the development of supporting documentation</strong>, including Statement of Objectives (SOO), Performance Work Statements (PWS), Interface Control Documents (ICDs), Functional Requirements Documents (FRDs), Concepts of Operation (CONOPS)</li><li><strong>Coordinate with internal teams and external stakeholders</strong> to track progress, resolve technical issues, and support informed decision-making throughout program execution.</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s or Master’s degree in Electrical Engineering, Systems Engineering, Applied Physics, or related technical field preferred</li><li>5+ years of experience in applied engineering, technology evaluation, or systems development</li><li>Familiarity with DHS or DOD acquisition processes, including SELC and test planning</li><li>Excellent analytical, communication, and technical writing skills</li><li>Experience working across technical and operational teams in mission-driven environments</li><li><strong>U.S. citizenship and ability to obtain a CBP Background Investigation (BI) is required; active CBP BI preferred.</strong></li></ul><p>Target salary range: $108,324 - $186,052</p><p><strong><em>Disclaimer:</em></strong>&nbsp;</p><p>The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Applied Mission Engineer

<br><h4>Overview</h4><p>LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</p><p>Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</p><p><strong>*This position is currently full-time onsite at the customers Washington DC office.&nbsp;</strong>&nbsp;</p><h4>Responsibilities</h4><ul><li>Identify opportunities where AI/ML or modeling and simulation can generate business insights or improve business processes&nbsp;</li></ul><ul><li>Develop and implement digital and analytic approaches&nbsp;</li></ul><ul><li>Work with product designers, application developers, infrastructure engineers, and other data scientists to integrate predictive and prescriptive models with web-based applications&nbsp;</li></ul><ul><li>Research algorithms in machine learning to identify viable approaches to meet business requirements&nbsp;</li></ul><ul><li>Apply machine learning methods, such as natural language processing (NLP), computer vision, regression, clustering, classification, and deep learning&nbsp;</li></ul><ul><li>Design solution prototypes that connect to data sources and deploy through services, such as service functions in web applications or application programming interfaces (APIs)&nbsp;</li></ul><ul><li>Become familiar with DevSecOps principles to continuously deliver high-quality software&nbsp;</li></ul><ul><li>Work with Docker to develop and deploy containerized versions of models&nbsp;</li></ul><ul><li>Participate in design and code reviews, and collaborate with a strong, passionate engineering team&nbsp;</li></ul><ul><li>Provide input to UX/UI designers and front-end application developers on how to effectively deliver model outcomes to users&nbsp;</li></ul><ul><li>Interface with customer stakeholders to provide technical explanations and support&nbsp;</li></ul><h4>Qualifications</h4><ul><li>Pursuit of a Bachelor's degree (Graduate student highly preferred) in engineering, mathematics, computer science, or related technical discipline required.&nbsp;</li></ul><ul><li>Currently enrolled in a Graduate (Masters) program highly preferred&nbsp;</li></ul><ul><li>Pursuing a post-graduate or undergrad degree in engineering, mathematics, computer science, modeling and simulation, operations research, or related technical discipline&nbsp;</li></ul><ul><li>Must be able to work for a minimum of 10-12 weeks beginning in Summer 2026 (May/June)&nbsp;</li></ul><ul><li>Comfortable working with agile teams, developing prototypes and functionality in short development sprints&nbsp;</li></ul><ul><li>Ability to work independently and collaborate effectively with a project team in an agile research and development environment&nbsp;</li></ul><ul><li>Comfortable using Atlassian products, including JIRA, Bamboo, Confluence, FishEye, Crucible, and Bitbucket&nbsp;</li></ul><ul><li>Ability to think critically to propose tractable solutions to complex problems&nbsp;</li></ul><ul><li>Effective written and verbal communication skills&nbsp;</li></ul><ul><li>Ability to communicate complex concepts to both technical and business-focused audiences&nbsp;</li></ul><ul><li>Familiarity or desire to excel with modern programming languages appropriate for machine learning prototyping; Python is preferred, but experience with other languages such as Java, C++, C#, JavaScript and R demonstrate the necessary ability&nbsp;</li></ul><ul><li>Familiarity with the underlying mathematics of machine learning&nbsp;</li></ul><ul><li>Knowledge of data structures and data management principles, methods, and tools&nbsp;</li></ul><ul><li>Desire to explore machine learning frameworks and libraries, such as scikit-learn, TensorFlow, and Spark ML&nbsp;</li></ul><ul><li>Ability to work with integrated development environments, such as Jupyter, JupyterLab, JetBrains IntelliJ IDEA, JetBrains PyCharm, JetBrains CLion, and Visual Studio Code&nbsp;</li></ul><ul><li>Ability to collaborate with a team that develops applications using web development frameworks, such as Angular (1.x/2+), React, and Ember, and server frameworks, such as Node.js and Express.js&nbsp;</li><li>Ability to consume or interface with cloud computing and storage services, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud&nbsp;</li><li>Familiarity or desire to become familiar with containerization technologies, such as Docker, Kubernetes, Amazon Elastic Container Service (ECS), and Amazon Elastic Kubernetes Service (EKS)&nbsp;</li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

AI Engineer Intern (USPS) - Summer 2026

<br><h4>Overview</h4><p>LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</p><p>Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</p><h4>Responsibilities</h4><ul><li><strong>Architect and Refine Backend Systems:</strong> Take the lead in developing and updating the backend code for diverse Python-based applications, ensuring high performance and scalability.&nbsp;</li><li><strong>Craft and Deploy Python Code:</strong> Write, design, and implement robust, clean Python code that drives our applications forward.&nbsp;</li><li><strong>Ensure Code Quality:</strong> Develop and conduct unit tests for product components, maintaining a commitment to quality and reliability.&nbsp;</li><li><strong>Collaborative Development:</strong> Work closely with our software development team using GitLab to enhance collaboration and streamline workflows.&nbsp;</li><li><strong>Strategic Stakeholder Engagement:</strong> Regularly meet with internal managers and external customers to discuss software challenges and collaboratively devise innovative solutions.&nbsp;</li><li><strong>Code Excellence:</strong> Write original code and refine existing codebases, ensuring all developments meet rigorous program requirements.&nbsp;</li><li><strong>Detail-Oriented Practices:</strong> Apply a methodical approach to documenting and testing your code, ensuring flawless functionality.&nbsp;</li><li><strong>Adaptive Work Style:</strong> Thrive in a flexible work environment, whether you’re driving initiatives independently or as an integral part of our team.&nbsp;</li></ul><h4>Qualifications</h4><p><strong>Minimum:</strong>&nbsp;</p><ul><li>5-10 years of directly related experience&nbsp;</li><li>Bachelor's degree in Computer Science or related field and/or equivalent work experience&nbsp;</li><li>Minimum 2-years’ experience with Python development with web frameworks&nbsp;</li><li>Minimum 2-years’ experience working with Object Oriented Programming (OOP) and Service Oriented Architecture&nbsp;</li><li>Experience planning, analyzing, designing, implementing, testing, and maintaining software applications for an enterprise level system.&nbsp;&nbsp;</li><li>Experience using industry guidelines and best practices for developing software including Git, Agile methodologies, CI/CD, and automated deployments.&nbsp;</li><li>Excellent verbal and written communication skills&nbsp;</li></ul><p><strong>Preferred:</strong>&nbsp;</p><ul><li>Master’s degree in Computer Science, Software Engineering, Information Systems, or related field&nbsp;</li><li>Knowledge of Node.js and javascript programming language&nbsp;&nbsp;</li><li>Knowledge of Postgres&nbsp;</li><li>Experience developing applications for classified data&nbsp;</li><li>Experience integrating machine learning and analytical tools&nbsp;</li><li>Knowledge of the Army software development process and its technologies</li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

<br><h4>Overview</h4><p>The Cloud Engineer will play a critical role in the successful modernization and implementation of a variety of cloud deployments for our US Army Client. This position requires a seasoned professional with deep technical expertise in cloud computing, specifically in designing scalable, secure, and resilient cloud solutions aligned with Army Standards. The Cloud Engineer will lead cloud architecture efforts, ensuring workloads are optimized for performance and future scalability within Army’s environments. The successful candidate will have a deep technical expertise in cloud deployments paired with deep subject matter expertise in how the US Army operates, builds and deploys software.&nbsp;</p><p>LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</p><p><br>Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</p><h4>Responsibilities</h4><ul><li>Design, develop, and implement scalable, secure, and resilient cloud solutions aligned with Army Standards, ensuring workloads are optimized for performance and future scalability within the ECMA environment&nbsp;</li><li>Collaborate with Army stakeholders to ensure the successful integration of cloud solutions into the Army's existing IT infrastructure&nbsp;</li><li>Develop and maintain technical documentation, including system architecture diagrams, technical specifications, and user manuals&nbsp;</li><li>Provide technical guidance and support to Army personnel and contractors working on cloud solutions&nbsp;</li><li>Stay abreast of emerging cloud technologies and Army Standards, and recommend changes to the cloud environment as needed&nbsp;</li><li>Ensure compliance with Army cybersecurity standards and best practices&nbsp;</li><li>Support the team lead to ensure the implementation of best-of-breed technologies while mitigating risks&nbsp;</li><li>Provide input and guidance to optimize cost-efficiency and prevent cost overruns&nbsp;</li><li>Provide regular status reports to senior Army leaders and LMI management&nbsp;</li></ul><h4>Qualifications</h4><ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's degree is highly desirable&nbsp;</li><li>At least 10 years of experience in cloud computing, including experience with cloud architecture, cloud security, and data architectures&nbsp;</li><li>Expertise in Army Standards and requirements for cloud computing&nbsp;</li><li>Experience working with Army stakeholders and contractors&nbsp;</li><li>Excellent communication and interpersonal skills, with the ability to communicate complex technical concepts to non-technical stakeholders&nbsp;</li><li>Experience with Army cybersecurity standards and best practices&nbsp;</li><li>Experience with various cloud service providers&nbsp;</li><li>Experience building in modern software stacks using containerization, IaC, monitoring and management tools, load balancing and auto-scaling and disaster recovery&nbsp;</li><li><strong>Active Secret clearance desired or the ability to obtain a clearance. </strong>Please note: only US citizens are eligible to obtain a clearance.&nbsp;</li><li>No specific certifications are required; however, various certifications may be relevant though the list is not inclusive&nbsp;<ul><li>Solution Architect&nbsp;</li><li>Cloud Architect&nbsp;</li><li>Cloud Systems Admin&nbsp;</li><li>Security+&nbsp;</li><li>Cloud+&nbsp;</li></ul></li></ul><p>Target salary range: $143,000 - $190,000. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Senior Cloud Engineer - Clearance Desired

<br><h4>Overview</h4><p>LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</p><p>Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</p><p><strong>*This position is currently full-time onsite at the customers Washington DC office.&nbsp;</strong>&nbsp;</p><h4>Responsibilities</h4><ul><li>Collaborate with Development Teams&nbsp;</li></ul><ul><li>Work closely with software engineers, designers, and product managers to develop and refine web or mobile applications.&nbsp;</li></ul><ul><li>Assist in Designing, Coding, and Testing Software Solutions&nbsp;</li></ul><ul><li>Participate in writing clean, efficient, and maintainable code for assigned projects using languages such as Java, JavaScript, Python, or R.&nbsp;</li></ul><ul><li>Research and Evaluate New Technologies&nbsp;</li></ul><ul><li>Explore innovative tools, frameworks, and approaches to enhance software development practices and propose potential integrations.&nbsp;</li></ul><ul><li>Contribute to DevSecOps Practices&nbsp;</li></ul><ul><li>Assist in implementing CI/CD pipelines, containerization using Docker, and other DevSecOps tools to ensure secure and efficient software delivery.&nbsp;</li></ul><ul><li>Participate in Code Reviews&nbsp;</li></ul><ul><li>Engage in peer code reviews to provide and receive constructive feedback for improving code quality and consistency.&nbsp;</li></ul><ul><li>Present Progress and Findings&nbsp;</li></ul><ul><li>Prepare and deliver presentations or demos of your work during team meetings or project reviews to highlight progress and insights.&nbsp;</li></ul><ul><li>Debug and Troubleshoot Issues&nbsp;</li></ul><ul><li>Identify, investigate, and resolve software bugs and performance issues in collaboration with the development team.&nbsp;</li></ul><ul><li>Document Work and Learnings&nbsp;</li></ul><ul><li>Maintain clear documentation of project work, processes, and learnings to ensure knowledge transfer and continuity.&nbsp;</li></ul><p>&nbsp;<br></p><h4>Qualifications</h4><ul><li>Pursuit of a Bachelor's degree (Graduate student highly preferred) in engineering, mathematics, computer science, or related technical discipline required.&nbsp;</li></ul><ul><li>Currently enrolled in a Graduate (Masters) program highly preferred&nbsp;</li></ul><ul><li>Pursuing a post-graduate or undergrad degree in engineering, mathematics, computer science, modeling and simulation, operations research, or related technical discipline&nbsp;</li></ul><ul><li>Must be able to work for a minimum of 10-12 weeks beginning in Summer 2026 (May/June)&nbsp;</li></ul><ul><li>Experience with Software Development&nbsp;</li></ul><ul><li>Familiarity with developing web applications or mobile applications. Coursework or personal projects demonstrating these skills are highly valued.&nbsp;</li></ul><ul><li>Proficiency in Programming Languages&nbsp;</li></ul><ul><li>Proficient in one or more programming languages, such as Java, JavaScript, Python, or R. Hands-on experience through coursework, internships, or personal projects preferred.&nbsp;</li></ul><ul><li>Knowledge of Software Development Tools and Practices <em>(Preferred)</em>&nbsp;</li></ul><ul><li>Exposure to tools like Docker, Kubernetes, or DevSecOps pipelines is a plus.&nbsp;</li></ul><ul><li>Familiarity with Version Control Systems&nbsp;</li></ul><ul><li>Experience using Git or similar version control systems for collaborative software development.&nbsp;</li></ul><ul><li>Understanding of Agile Development <em>(Preferred)</em>&nbsp;</li></ul><ul><li>Familiarity with Agile methodologies and tools like JIRA or Trello for managing tasks and sprints.&nbsp;</li></ul><ul><li>Strong Problem-Solving Skills&nbsp;</li></ul><ul><li>Ability to think critically and approach software development challenges with creative solutions.&nbsp;</li></ul><ul><li>Bonus Skills <em>(Preferred)</em>&nbsp;</li></ul><ul><li>Knowledge of cloud platforms (e.g., AWS, Azure, or Google Cloud), database management systems, or UI/UX design principles is advantageous but not required.&nbsp;</li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Software Engineering Intern (USPS) - Summer 2026

<br><h4>Overview</h4><p>Join our  cutting-edge generative AI (GenAI) platform, LIGER™, created by its technology studio, LMI Forge. LIGER™ harnesses the power of advanced technology, data analytics, and the latest in machine learning and natural language processing to provide secure, private, and trustworthy GenAI solutions for government.&nbsp;</p><p>At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. &nbsp;</p><h4>Responsibilities</h4><ul><li>Engage in and improve the whole lifecycle of services—from inception and design, deployment, operation, and refinement using an agile methodology&nbsp;</li></ul><ul><li>Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews   &nbsp;</li></ul><ul><li>Embrace the DevSecOps culture with a commitment to automate what can be automated   &nbsp;</li></ul><ul><li>Maintain services once they are live by measuring and monitoring availability, latency, and overall system health   &nbsp;</li></ul><ul><li>Scale systems sustainably through mechanisms like automation; evolve systems by pushing for changes that improve reliability and velocity   &nbsp;</li></ul><ul><li>Practice sustainable incident response and actively participate in retrospectives   &nbsp;</li></ul><h4>Qualifications</h4><ul><li>Minimum Bachelor’s degree in Computer Science or related technical field &nbsp;</li><li><strong>DHS/CBP background investigation highly preferred</strong></li><li>5+ years’ experience as a DevSecOps Engineer   &nbsp;</li><li>Minimum of 5+ years of experience programming in Python. Ability to debug, optimize code, and automate routine tasks   &nbsp;</li><li>Systematic problem-solving approach, coupled with effective communication skills and a sense of drive   &nbsp;</li><li>Understanding of Unix/Linux operating systems   &nbsp;</li><li>Demonstrated experience building continuous, automated build and deploy pipelines   &nbsp;</li><li>Demonstrated experience in conditional procedure of build and deploy pipeline based on security scans of source and artifact   &nbsp;</li><li>Capable of working with software development team and platform infrastructure team to provide meaningful guidance to both for code development and deployment   &nbsp;</li><li>In-depth knowledge of version control of release artifacts to facilitate upgrade rollout and rollback   &nbsp;</li><li>Strong understanding of containerization of web applications   &nbsp;</li><li>Understanding and familiarity with container orchestration engines such as K8s (EKS, AKS, GKE, Kops, OpenShift)   &nbsp;</li><li>Experience with GitLab CI/CD   &nbsp;</li><li>Experience with bash shell scripting  &nbsp;</li></ul><p><strong>Desired:</strong>&nbsp;</p><ul><li>Agile, Lean, DevOps, Cloud, Security+ or other professional certification   &nbsp;</li></ul><ul><li>Familiarity with DHS Community IT standards and federal security standards strongly desired   &nbsp;</li></ul><ul><li>Knowledge of the DHS software development process and its technologies &nbsp;</li></ul><ul><li>Hands-on experience using agile software development methodologies    &nbsp;</li></ul><ul><li>Strong communication skills and the ability to work well on a cross-functional agile team  &nbsp;</li></ul><ul><li>Experience working in a consultant/client environment  &nbsp;<br>&nbsp;</li></ul><p>#LIGER&nbsp;</p><p>Target salary range: $114,986 - $200,154</p><p>The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

DevSecOps Engineer (DHS)

<br><h4>Overview</h4><p>LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</p><p>Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</p><p>LMI is seeking a Advanced Analytics Team Lead to support an Intelligence Community client. This position will be located in Washington, DC or Reston, VA.</p><h4>Responsibilities</h4><p>Responsible for overseeing a team of data engineers and data scientists to modernize data pipelines and data warehouses, while delivering business analytics support through machine learning, statistical analysis, causal analysis, and modeling and simulation.</p><ul><li>Lead and collaborate with a team of data engineers, data scientists, data analysts, and business/functional SMEs to understand processes, define analytical requirements, and communicate results.</li><li>Modernize and maintain data pipelines, data warehouses, and related infrastructure to ensure scalable, reliable, and efficient operations.</li><li>Frame and scale data problems; integrate, consolidate, and analyze complex datasets for business analytics.</li><li>Build and validate models using machine learning, simulation, causal, rule-based, and statistical methods.</li><li>Transform data into visualizations, dashboards, and analytic narratives that support storytelling and decision-making.</li><li>Provide timely analysis and reporting in a fast-paced, client-focused environment.</li><li>Deliver technical and process consulting through management of standard consulting projects.</li><li>Advise non-technical stakeholders on interpreting and applying data products, dashboards, and reports.</li><li>Manage relationships with key stakeholders to ensure alignment of analytical solutions with organizational goals.</li><li>Contribute to the organization’s data engineering and advanced analytics strategy, roadmap, and data governance practices.</li><li>Oversee project timelines, deliverables, and resources, ensuring completion on time, within budget, and to quality standards.</li><li>Stay current with advancements in data engineering, analytics, and data science; mentor junior team members across both DE and DS disciplines, providing technical guidance to build overall team capability.</li></ul><h4>Qualifications</h4><p><strong>Education:</strong></p><ul><li>Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related quantitative discipline is required.</li><li>Advanced degree (master’s or Ph.D.) in a relevant field is preferred.</li></ul><p><strong>Experience:</strong></p><ul><li>5-10 years of relevant experience, with at least 2 years leading data engineering or data science teams as a technical lead or task lead.</li><li>Proven track record of managing and delivering complex data pipelines and analytical projects.</li><li>Hands-on experience developing with Python and SQL for data pipelines, data integration, and analytics.</li></ul><p><strong>Technical Skills:</strong></p><ul><li>Proficiency in Python and SQL is required.</li><li>Strong working knowledge of relational databases; preferred experience includes database optimization, schema design (e.g., star/snowflake), and linking analytic/visualization products to database connections.</li><li>Experience with ETL/ELT processes, pipeline development, and data integration methods.</li><li>Familiarity with data science libraries in Python.</li><li>Experience building data visualizations, dashboards, and lightweight applications to communicate findings and drive business impact.</li><li>Experience displaying analytical results using platforms such as Tableau, Streamlit, Qlik, Power BI, RShiny, Plotly, or D3.js. Tableau&nbsp; and Streamlit preferred.</li><li>Additional experience with programming languages such as Java, R, or MATLAB is a plus.</li><li>Familiarity with data engineering and data science methods including data transformation, feature engineering, predictive analytics, and (preferred) unstructured text/NLP.</li></ul><p><strong>Leadership and Interpersonal Skills:</strong></p><ul><li>Superior communication skills, both oral and written, with the ability to convey complex data engineering and data science concepts to non-technical stakeholders.</li><li>Demonstrated ability to mentor and develop junior team members across both DE and DS disciplines.</li><li>Strong stakeholder management skills, with the ability to build and maintain relationships across the organization.</li><li>Proven ability to balance technical modernization efforts with stakeholder-facing analytics delivery.</li><li>Ability to work in a fast-paced, solutions-oriented environment.</li><li>Strong analytical and problem-solving skills with a focus on practical outcomes.</li><li>Detail-oriented with a commitment to delivering high-quality work.</li><li>Ability to work both independently and as part of a collaborative team.</li></ul><p>This position requires an active <strong>TS/SCI security clearance with polygraph</strong>. Applicants with <strong>TS/SCI who are eligible for polygraph are encouraged to apply and will be sponsored for upgrade.</strong></p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

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