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<h3>Job Description:</h3>As the SVP, Head of AI Architecture, you will serve as a strategic leader responsible for defining and implementing enterprise-wide core and common AI architecture and strategy. This high-impact role bridges innovative AI research with practical, scalable solutions, ensuring all AI initiatives align with Fidelity’s strategic enterprise objectives and ethical standards. In close partnership with the peer Head of AI/ML Technology to drive prioritized AI initiatives across the organization. Oversee core AI Architecture from initial design through production deployment and governance, spearheading and enforcing rigorous practices and controls to maintain consistency and reliability. Take a key leadership role in the strategic evaluation and integration of cutting-edge AI and machine learning technologies into Fidelity’s architectural roadmap, solidifying the organization’s position as a leader in AI innovation and scalable solutions.This position reports directly to the SVP &amp; CIO, Global Head of Enterprise Data and AI. The preferred locations for this role are Boston, MA; Westlake, TX; or Durham, NC, though flexibility will be considered for highly qualified candidates.Your responsibilities include:<ul><li>Strategic Vision &amp; Planning: Define the strategic vision and roadmap for AI architecture practice across the enterprise, identifying high-impact opportunities for AI adoption.</li><li>Architecture Design &amp; Implementation: Lead the design and development of robust, scalable, and secure AI architectures, and integration with existing IT infrastructure.</li><li>Technical Leadership: Serve as the top technical leader for AI architecture, guiding the selection of appropriate platforms, frameworks, and cloud technologies.</li><li>Team Leadership &amp; Mentorship: Build, lead, and mentor a multidisciplinary team of Architects fostering a culture of innovation and best practices.</li><li>Cross-functional Collaboration: Collaborate with architects from various functional domains, executive leadership, engineers, security specialists, and business stakeholders to provide direction for AI solutions and articulate complex technical concepts effectively to non-technical audiences.</li><li>Innovation &amp; R&amp;D: Stay abreast of emerging AI advancements, such as Generative AI, agentic workflows, and drive innovation through prototyping and validating new technologies. </li></ul>The Expertise and Skills You Bring<ul><li>A Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related STEM field is required.</li><li>15 + years of general experience and 10+ years of experience in AI/ML, data science, or software architecture, with proven experience in deploying enterprise-grade AI solutions into production environments.</li><li>Deep understanding of AI/ML concepts, algorithms, frameworks, and programming languages. Experience with cloud computing and MLOps tools is essential.</li><li>Proven expertise in LLMs (OpenAI, LLaMA, Claude, Gemini), RAG, agent frameworks (LangChain, LangGraph), fine-tuning (LoRA, QLoRA, PEFT), and prompt management.</li><li>Strong understanding of security implications related to AI/ML systems (e.g., data privacy, model poisoning, adversarial attacks).</li><li>Familiarity with various Hyperscaler tools and services is a plus.</li><li>Ability to drive organizational change by embedding AI/ML architecture practices directly into core technology delivery teams.</li><li>Experience with major cloud platforms such as Snowflake and AWS (or other public cloud).</li><li>Strong executive communication &amp; leadership presence, engaging with executive leadership (C-Suite) are required to frequently participate in core initiatives and has broad exposure to executive leadership.</li><li>Consistent record of operations collaboration and delivery with the ability to build key relationships and influence partners on enterprise objectives.</li><li>Ability to challenge the status quo and facilitate the exchange and creation of ideas to address business challenges and improve performance.</li><li>Excellent talent skills and agile operating model experience with ability to develop impactful teams by setting clear goals and holding self and others accountable to standards of excellence.</li></ul>The TeamYou will serve as a senior leader within the Enterprise Technology team, reporting to the Global Head of Enterprise Data and AI function. In this role, you will collaborate with various Business Units, CIOs, Enterprise Architecture, Cybersecurity, Enterprise Analytics Platform, and AI/ML Solutions teams to drive meaningful impact and foster innovation across the $16+ trillion global financial ecosystems.The base salary range for this position is $185,000-$400,000 per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of <a href="https://jobs.fidelity.com/benefits/" target="_blank">benefits</a> to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.<h3>Certifications:</h3><h3>Category:</h3>Information Technology

Fidelity Investments

SVP, Head of AI Architecture

Take your career further with McLane! McLane teammates, the driving force behind our success, are diverse professionals who work together seamlessly to keep our operations running smoothly. As a teammate, you will pair your dedication, expertise, and collaborative spirit with your fellow teammates to serve America's most beloved brands. McLane leaders think long-term, act with purpose, and inspire high performance. They lead with accountability, communicate clearly, and drive results through collaboration, innovation, and continuous growth. They empower each teammate to learn from industry leaders, develop their skills, and build lasting connections nationwide. Design, implement, maintain and support zOS and UNIX/ZVM job scheduling using BMC CONTROL software to insure accuracy, stability and performance for all McLane business units. Design, implement, maintain and support iSeries job scheduling using Help Systems ROBOT software to insure accuracy, stability and performance for McLane Foodservice business units. This is a hybrid position which will require the candidate to report and work from the office three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX. Benefits you can count on: <ul><li>Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance </li><li>Paid time off begins day one.</li><li>401(k) Profit Sharing Plan after 90 days.</li><li>Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!</li></ul> What you'll do as a Sr Scheduling Analyst: <ul><li>Specialize in accurate and efficient job processing to support McLane business requirements.</li><li>Research innovations and drive the design of McLane Company automated batch processing.</li><li>Design and implement automated processing schedules within the zOS, UNIX/ZVM and iSeries environments.</li><li>Maintain up to date software releases of the BMC CONTROL &amp; ROBOT products.</li><li>Educate Scheduling Teammates on automation software and job scheduling techniques.</li><li>Insure adequate cross training within the Scheduling Team to support all business applications.</li><li>Monitor system performance and resources in order to provide consultation and expert advice to management concerning schedule future capacity needs.</li><li>Provide consultation and expert advice to system administrators and application developers concerning batch processing automation.</li><li>Prioritize and organize the workload within the Scheduling Team to keep up with business needs.</li><li>Participate in a weekly on-call rotation with the responsibility and authority to investigate and use independent judgment to resolve matters of significance for McLane business units and customers.</li></ul> Qualifications you'll bring as a Sr Scheduling Analyst: <ul><li>Bachelor's degree in Management Information Systems, Computer Science or closely related field.</li><li>5 years automated scheduling experience.</li><li>Hands on experience and strong working knowledge in zOS, UNIX/ZVM and iSeries environments.</li><li>Hands on experience and strong working knowledge of Job Control Language (JCL).</li><li>Ability to gauge the comprehension level of an audience and communicate difficult concepts to any size group at any technical level. </li><li>Ability to work independently with little supervision to accomplish team goals.</li><li>Ability to lead projects guided by the McLane methodology.</li><li>Ability to teach, motivate and communicate with technical teammates and end users.</li><li>Ability to effectively guide a team to accomplish departmental goals.</li><li>This position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards.</li></ul> Fit the following? We want you here! <ul><li>Teamwork oriented </li><li>Organized </li><li>Problem solver </li><li>Detailed</li></ul> Our roadmap. Our story. We've been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130+ years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture. Candidates may be subject to a background check and drug screen, in accordance with applicable laws. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. For our complete EEO and Pay Transparency statement, please visit <a href="https://www.mclaneco.com/legal/employment/" target="_blank">https://www.mclaneco.com/legal/employment/</a>

McLane

Sr. Scheduling Analyst

Moving America forward - together. We've been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130+ years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture. The Data Engineer III is a hybrid remote position which will require the candidate to report and work from the office three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX. Position Overview: Develop and maintain data processing software. Responsibilities include creating and optimizing data infrastructure, clean, prepare, and optimizes data for further analysis and modelling. Designs, develops, optimizes, and maintains data architecture and pipelines that adhere to Data Pipeline (i.e., ELT) principles and business goals. Lead complex data engineering projects and provide strategic guidance. Benefits you can count on: <ul><li>Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance</li><li>Paid holidays, earn vacation time, and sick leave accrual from day one.</li><li>401(k) Profit Sharing Plan after 90 days.</li><li>Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!</li></ul> Essential Job Functions/Principal Accountabilities: <ul><li>Designs, develops, optimizes, and maintains data architecture and pipelines that adhere to ELT principles and business goals.</li><li>Solves complex data problems to delivers insights that helps business achieve its goals.</li><li>Architect and implement end-to-end data solutions.</li><li>Define data engineering best practices and standards.</li><li>Mentor junior engineers and collaborate with cross-functional teams.</li><li>Creates data products for engineer, analyst, and data scientist team members to accelerate their productivity.</li><li>Engineer effective features for modelling in close collaboration with data scientists and businesses.</li><li>Leads the evaluation, implementation and deployment of emerging tools and process for analytics data engineering to improve productivity and quality.</li><li>Partners with machine learning engineers, BI, and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.</li><li>Fosters a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.</li><li>Advises, consults, mentors, and coach other data and analytic professionals on data standards and practices.</li><li>Develops and delivers communication and education plans on analytic data engineering capabilities, standards, and processes.</li><li>Understands machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to conduct role effectively.</li><li>Performs other duties as assigned.</li></ul> Minimum Skills &amp; Qualifications: <ul><li>Bachelor's degree in computer science, statistics, engineering, or a related field.</li><li>7 plus years of experience required.</li><li>Deep understanding of distributed computing, data architecture, and scalability.</li><li>Strong critical thinking skills and ability to address big data challenges.</li><li>Leadership and project management abilities.</li><li>Proficiency in designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing, accessing, and transforming data in a variety of relational databases. Proficiency in building data pipelines and deploying/maintaining them following modern DE best practices (e.g., DBT, Airflow, Spark, Python OSS Data Ecosystem).</li><li>Proficiency in Software Engineering fundamentals and software development tooling (e.g., Git, CI/CD, JIRA) and familiarity with the Linux operating system and the Bash/Z shell.</li><li>Proficiency with cloud database technologies (e.g., Azure) and developing solutions on cloud computing services and infrastructure in the data and analytics space.</li><li>Basic familiarity with BI tools (e.g., Alteryx, Tableau, Power BI, Looker).</li><li>Expertise in ELT and data analysis, SQL primarily.</li><li>Conceptual knowledge of data and analytics, such as dimensional modelling, reporting tools, data governance, and structured and unstructured data.</li></ul> Working Conditions: <ul><li>Office environment</li></ul> Candidates may be subject to a background check and drug screen, in accordance with applicable laws. All applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. For our complete EEO and Pay Transparency statement, please visit <a href="https://www.mclaneco.com/legal/employment/" target="_blank">https://www.mclaneco.com/legal/employment/</a> This position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards.

BI Data Engineer III

<h3>Job Description:</h3>The RoleWe are looking for a passionate senior full stack software engineer to join the Finance and Fund Oversight team in the Asset Management Technology organization. You will bring a strong background of innovation, technical expertise and a passion for engineering best practices to the team. In this job you will be working with a very dedicated team of engineers and business professionals to bring efficiency and excellence to the products that drive our key business processes. This close partnership allows us to focus on what matters most to our users and get instant feedback to find the solutions that work best. We strive to provide the best user experience to help our business partners to achieve their goals. Our team works nimbly from the front end to the middle tier to our back-end SQL systems.The Expertise and Skills You Have<ul><li>8+ years of full stack development experience, building applications leveraging Angular, Java and SQL (PL/SQL).</li><li>3+ years hands-on experience in working with Cloud technologies - Azure or AWS.</li><li>Extensive experience in Client-side languages, libraries, frameworks, and testing methodologies: Angular, JavaScript/TypeScript, Node, HTML, CSS/SASS, RxJS, Jasmine/Karma/Playwright.</li><li>Extensive experience in Java / Spring boot / Spring Core / Web Services (REST) / Kubernetes orchestration.</li><li>Strong experience with API design and best practices using Swagger and OpenAPI.</li><li>Strong experience building CI/CD pipelines using Jenkins, Maven, etc. &amp; solid understanding of version control using GIT and maintenance of pipelines.</li><li>Demonstrated abilities in testing, including writing automated unit, integration, and end-to-end tests.</li><li>Ability to drive technical discussions, arbitrate and influence better software design promoting best in breed software engineering and quality.</li><li>Robust critical thinking skills coupled with a desire for growth, to learn and to engage with peers in technical and design discussions.</li><li>Bring curiosity and a questioning mind-set to work, asking always about the why and the value of an activity or task</li><li>Excellent active listening, verbal and written communication skills and brings excitement that builds collaboration and community.</li><li>You will help design, build, and support mission-critical enterprise software applications.</li><li>You will define product solutions by working directly with business and product teams.</li><li>You will actively promote good engineering practices and standards.</li><li>You will help navigate new technologies and cloud-based deployments to help deliver high value to our business.</li><li>You will contribute to continuous process improvement initiatives.</li><li>You will perform code reviews, unit testing, and integration testing using Open Source frameworks.</li><li>You will proactively lead process and technology improvement initiatives.</li><li>You will stay on top of the latest engineering trends and practices and bring them back to the team when appropriate.</li><li>You will mentor junior team members.</li></ul>The TeamOur team supports the analytical needs of our business partners; providing tools that support critical decisions for the evolution and management of our fund offerings. Our team works in close partnership with our business using agile methodologies and best in breed cloud native technology to deliver robust and resilient solutions. We strive to provide the best user experience and technology to help our business partners achieve their goals. Our team works nimbly from the front end to the middle tier to our back-end SQL systems.<h3>Certifications:</h3><h3>Category:</h3>Information TechnologyMost roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Principal, Full Stack Engineer

The Fidelity Fund and Investment Operations (FFIO) technology team is looking for a best-in-class Front End Developer: Senior Software Engineer – Power BI &amp; Angular The Fidelity Fund and Investment Operations (FFIO) technology team is looking for a best-in-class Senior Software Engineer with expertise in Power BI and Angular to design and deliver scalable, data-driven solutions and intuitive user interfaces. You will collaborate closely with Tech Leads, Product Owners, and Architects to define and implement technical strategies for reporting and UI development. This role demands hands-on development expertise across BI and front-end technologies and a proactive approach to delivering high-quality features. You’ll be expected to operate independently, contributing effectively with minimal supervision. The Expertise and Skills You Bring Power BI Development: 6+ years of experience building dashboards, reports, and data models using Power BI. Strong proficiency in DAX, Power Query, and implementing row-level security. Experience integrating Power BI with enterprise systems and embedding reports in applications. UI Development (Angular): 6+ years of hands-on experience with Angular, TypeScript, HTML5, and CSS3. Strong understanding of responsive design, accessibility, and performance optimization. Experience integrating UI with RESTful APIs and backend services. General Technical Skills: Solid understanding of relational databases (Snowflake, Oracle, or similar) and SQL optimization. Familiarity with Git and branching strategies for version control. Adherence to best practices for testing (unit and integration) and code reviews. Exposure to CI/CD pipelines and DevOps tools for automated deployments. Preferred: BS degree in Computer Science, Software Engineering, or equivalent experience. Experience in financial services, preferably in the Mutual Fund environment. The Team Fidelity Fund &amp; Investment Operations (FFIO) provides accounting and investment management support services for Fidelity mutual funds and other retail and institutional investment products. These services include calculating and distributing NAVs, preparing fund financial statements, monitoring fund trades, and managing liquidity.

Fidelity TalentSource

Front End Developer

The Role The Fidelity Fund and Investment Operations (FFIO) technology team is looking for a best-in-class Full stack senior software engineer to collaborate and deliver the top quality scalable systems solutions. Building a new product, this position requires a hands-on, lead-by-coding leadership as well as mentoring a team of developers as they journey to becoming better developers. Collaborating with architects, and business partners, you will be building a Java Spring/Springboot microservice backend and Angular UI running in EKS clusters in AWS. The value you deliver will include: <ul> <li>Providing technology solutions by developing software applications along with demonstrating a solid understanding of the business functions for which the application is designed </li><li>Displaying a full understanding of the software development process including analysis, design, development, system and integration testing, problem resolution and planning </li><li>Supporting and performing all phases of testing leading to implementation </li><li>Driving the culture of innovation, research and technical excellence to remain at the forefront of technology and thought leadership </li></ul> The Expertise and Skills You Bring <ul> <li>A minimum of 8 years of software application development experience, with financial/asset management industry experience is a plus </li><li>You have a BS/MS or equivalent experience in the areas of Computer Science, Engineering, or Information Technology and you want to learn more </li><li>Extensive Front End Application Development using Angular, Typescript, HTML5, CSS, Events and Async processing, Websockets, VUEJs, SveLTE, UI interoperability tool Glue42, Interop.io along with Java Spring/Springboot, and SQL (Oracle preferred) </li><li>Exposure to Blockchain technologies like Web3, smart contract development (Solidity, Rust), cryptography will be an advantage </li><li>Ability to apply standard processes across the teams in areas such as Unit testing, Automation (Cypress/Playwright), ATDD, DevOps, CI/CD, design, and code reviews </li><li>Exposure to cloud technologies such as AWS, Docker, and Kubernetes would be an advantage </li><li>Demonstrated experience working on Finance-related software projects focusing on asset management </li><li>Work with engineering and product managers, architects, team of blockchain engineers and full stack engineers. </li><li>Promotes and demonstrates a learning mindset by staying abreast of emerging trends in technology </li><li>Strong in communication, interpersonal and relationship building skills with which you influence decisions and engagement across all levels of the organization. </li><li>Ability to proactively share your knowledge, expertise, perspectives and nurture a learning culture across your team and the broader organization </li><li>Work closely with globally distributed product, engineering and business teams across regions which may include working across time zones and travel for business workshops, planning sessions and meetings </li></ul>

Full Stack Engineer

<h3>Job Description:</h3>Note: Fidelity will not provide sponsorship for this role.The RoleAs a Manager of Quantitative Analysis within the Model Assurance, Testing &amp; Controls team, you will play a critical role in safeguarding the firm and its clients by ensuring the integrity, reliability, and effectiveness of models used to detect and prevent financial crime. You will be leading technical initiatives that enable and streamline Model Risk Management (MRM) reviews and supporting development that upholds principles of transparency, reproducibility, and sound model design. Work with us to uphold strong standards in financial crime prevention.Key Responsibilities<ul><li>Crafting automated back-testing frameworks to evaluate machine learning models</li><li>Collaborating with cross-functional teams to strengthen governance and controls</li><li>Providing domain expertise in quantitative methods and help advance continuous improvement of model assurance practices</li></ul>The Expertise and Skills You BringYour Python skills, combined with your experience with Snowflake and other database platforms, make you a significant contributor. You have a firm grasp of statistical modeling and machine learning ideas along with a familiarity of MRM principles and regulatory requirements. You’re looking to apply your cryptocurrency and blockchain technology experience to risk controls, ensuring transactions remain safe, compliant, and customer focused. You’re eager to learn and apply large language models (LLMs) along with traditional development approaches to boost productivity. Your capacity to handle several projects effectively and your strong analytical and problem-solving skills are essential for this position.<ul><li>BS/BA or MS/MA degree in quantitative finance, Statistics, Mathematics, Computer Science, or related field, or equivalent experience.</li><li>Skilled in writing and understanding SQL across multiple database types, with an emphasis on Snowflake. Familiarity with SnowSQL and Snowpark for data handling and replication is a plus.</li><li>Experience with Python for data analysis, automation, and testing frameworks.</li><li>Knowledge of principles related to managing model risk and regulatory guidelines is a plus.</li><li>Excellent analytical, problem-solving, and communication skills.</li></ul>The TeamOur Financial Crimes Models &amp; Analytics team within Fidelity’s Enterprise Compliance group is dedicated to protecting our clients and company from financial crimes. We build, develop, and improve detection models, employing machine learning and advanced technologies. By partnering with colleagues across Fidelity, we compose data solutions that support our Financial Crimes Compliance programs. Our dedication to accuracy, regulatory requirements, and robustness ensures our models are world-class, reliable, and effective. Join us in our relentless pursuit of excellence and innovation!The base salary range for this position is $97,000-185,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of <a href="https://jobs.fidelity.com/benefits/" target="_blank">benefits</a> to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.<h3>Certifications:</h3><h3>Category:</h3>Information Technology

Manager, Quantitative Analysis– Model Assurance Testing & Controls

<h3>Job Description:</h3>Note: Fidelity will not provide immigration sponsorship for this positionThe successful candidate will be accountable for managing a team to define, prioritize, and deliver on strategic program deliverables. Objective is to enhance the organization's cybersecurity posture by mitigating known vulnerabilities, preventing lateral movement, and improving our Identity and Access security posture.The ideal candidate will have expertise in Active Directory, Entra ID, Identity governance, Authentication controls, and product management experience. You will collaborate with other Identity and Access Management (IAM) leaders to ensure alignment on overall strategy and program deliverables.In this role you will:<ul><li>Own accountability for the team’s approach, planning, and engagement model to ensure continued alignment and prioritization of the product roadmap</li><li>Demonstrate strong acumen to translate IAM control enhancements into deliverables/milestones at the sub-initiative and epic level</li><li>Leverage agile routines to coordinate planning and prioritization, including technology strategy, capability design, objectives and KPIs, ensuring that the development sequence is aligned</li><li>Provide day-to-day leadership for a delivery team comprised of engineering, quality, and analyst resources, and indirect leadership of supporting teams such as architecture, program management, and other COEs</li><li>Build a high-performing engineering team, identifying and supporting on-going learning opportunities, and ensuring that the talent composition aligns with strategic business priorities and workforce planning</li><li>Contribute to proactive research, vendor evaluations, and recommendation of new &amp; existing capabilities that align to product and/or IAM strategies</li><li>Oversee control &amp; service observability, stability &amp; resiliency, operations, and monitoring aligned to the policies, standards, and technical guidelines of the broader technology organization</li></ul>The Expertise You Have and The Skills You Bring <ul><li>7+ years of experience in a technology and leadership role, preferably managing risk utilizing the NIST cybersecurity framework</li><li>Deep understanding of Identification and Authentication controls, IAM principles such as SAML and OpenID Connect, and Authentication Assurance Levels (AALs)</li><li>Demonstrated experience in agile team practices, planning ceremonies, and delivery</li><li>You are a committed people leader, capable of setting strategic direction and coaching others to deliver results and impact to achieve that strategy</li><li>You have strong communication, interpersonal and relationship building skills with which you influence and engage across Fidelity and at all levels of the organization</li><li>You have senior level experience leading the development of solutions and offerings aligned with and in support of the strategic direction of the business</li><li>You leverage critical thinking and a product mindset, taking a data-focused approach to objective decision making</li></ul>The Team Fidelity’s Directory and Authentication group manages the identity and authentication security controls that help protect our workforce associates. Our teams are aligned to a set of enterprise services for managing our workforce identities, providing organizational scale of digital resources, and enhancing our access security controls.<h3>Certifications:</h3><h3>Category:</h3>Information TechnologyMost roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Team Leader - Directory Services Hardening

<h3>Job Description:</h3>Principal Machine Learning Ops EngineerAs a Principal Machine Learning Ops Engineer within the Enterprise Data Science Platform team, you will create frameworks to support large-scale ML infrastructure and pipelines, including tools for the containerization and deployment of ML models. Collaborating with Data Scientists, you will develop advanced analytics and machine learning platforms to enable the prediction and optimization of models. You will extend existing ML platforms for scaling model training and deployment, and partner with various business and engineering teams to drive the adoption and integration of model outputs. This role is essential in leveraging Data Science to deliver exceptional customer experiences in financial services.The TeamThe enterprise data science platform (part of the Fidelity Data Architecture team in the Enterprise Technology BU) is focused on delivering AI/ML solutions for the organization. As part of this team, you will be responsible for building advanced cloud and software solutions in collaboration with Data Scientists to support packaging, deployment, and scaling of AI/ML Models in production.The Expertise You Have<ul><li>Has bachelor’s or master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.).</li><li>8+ years of proven experience in developing and implementing Python-based cloud applications and/or machine learning solutions.</li><li>2+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker.</li><li>5+ years of experience in building cloud-native applications using a range of AWS services, including but not limited to SageMaker AI, Bedrock, S3, CloudFormation (CFT), SNS, SQS, Lambda, AWS Batch, Step Functions, EventBridge, and CloudWatch. Familiarity with both Azure Cognitive Services, particularly for deploying OpenAI models, and Google Compute Vertex is beneficial.</li><li>Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.</li><li>Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.).</li><li>Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.</li><li>Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies.</li><li>Strong knowledge of developing highly scalable distributed systems using Open-source technologies.</li><li>Strong experience with CI/CD tools, particularly Jenkins, for automating and streamlining the software development pipeline. Proficient in using version control systems like Git for effective code management and collaboration. Hands-on experience with containerization technologies such as Docker for building and deploying applications. Expertise in infrastructure as code (IaC) services, including AWS CloudFormation and tools like Terraform or OpenTofu, for managing and provisioning cloud resources</li><li>Solid experience in Agile methodologies (Kanban and SCRUM).</li></ul>The Skills You Bring<ul><li>You have strong technical design and analysis skills.</li><li>You the ability to deal with ambiguity and work in fast paced environment.</li><li>Your experience supporting critical applications.</li><li>You are familiar with applied data science methods, feature engineering and machine learning algorithms.</li><li>Your Data wrangling experience with structured, semi-structure and unstructured data.</li><li>Your experience building ML infrastructure, with an eye towards software engineering.</li><li>You have excellent communication skills, both through written and verbal channels.</li><li>You have excellent collaboration skills to work with multiple teams in the organization.</li><li>Your ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem.</li></ul>The Value You Deliver<ul><li>Designing &amp; developing a feature generation &amp; store framework that promotes sharing of data/features among different ML models.</li><li>Partner with Data Scientists and to help use the foundational platform upon which models can be built and trained.</li><li>Operationalize ML Models at scale (e.g. Serve predictions on tens of millions of customers).</li><li>Build tools to help detect shifts in data/features used by ML models to help identify issues in advance of deteriorating prediction quality, monitoring the uncertainty of model outputs, automating prediction explanation for model diagnostics.</li><li>Exploring new technology trends and leveraging them to simplify our data and ML ecosystem.</li><li>Driving Innovation and implementing solutions with future thinking.</li><li>Guiding teams to improve development agility and productivity.</li><li>Resolving technical roadblocks and mitigating potential risks.</li><li>Delivering system automation by setting up continuous integration/continuous delivery pipelines.</li></ul>The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of <a href="https://jobs.fidelity.com/benefits/" target="_blank">benefits</a> to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.<h3>Certifications:</h3><h3>Category:</h3>Information Technology

Principal, AI/ML Engineer

Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.Why join Harvard Business School?Harvard Business School, located on a 40-acre campus in Boston, was founded in 1908 as part of Harvard University. It is among the world's most trusted sources of management education and thought leadership. For more than a century, the School's faculty has combined a passion for teaching with rigorous research conducted alongside practitioners at world-leading organizations to educate leaders who make a difference in the world. Through a dynamic ecosystem of research, learning, and entrepreneurship that includes MBA, Doctoral, Executive Education, and Online programs, as well as numerous initiatives, centers, institutes, and labs, Harvard Business School fosters bold new ideas and collaborative learning networks that shape the future of business.Be a pioneer in&nbsp;business, education, and global impact&nbsp;by joining&nbsp;the Harvard Business School&nbsp;(HBS)&nbsp;Digital Transformation team - a&nbsp;“startup with assets,” where you will have the chance to&nbsp;deploy&nbsp;cutting-edge&nbsp;digital- and emerging-technology education&nbsp;solutions. Where else can you make a difference at the intersection of&nbsp;technology, world-class education, noble purpose, and timeless legacy?&nbsp; Job Description Job Summary: As our Lead Software Engineer, you will collaborate with and shepherd software engineers, data scientists, and machine learning engineers, and will develop AI-based software solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large). You will have the chance to guide and continuously improve the ways in which we engage, educate, and empower people around the world, combining the best of human touch and technology scale, exploring the use of everything from the latest generative AI models to blended and immersive environments, multi-modal and varied-form content, and the most innovative research and teaching methodologies. 
Job-Specific Responsibilities:<ul><li>Develop production-ready software solutions that solve real business problems, taking into account business needs and technology/operations landscape; lead interaction with internal stakeholders and technology on specific projects and initiatives</li><li>Apply software engineering, data science, machine learning, and AI techniques to derive business value from the full range of internal and external data, leveraging Cloud-based technology</li><li>Design solutions, build initial code, and provide documentation with ways of working to minimize time to value and maximize re-usability</li><li>Translate complex data and methodology into strategic, operationally feasible insights and recommendations; automate implementation</li><li>Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in</li><li>Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new software engineering, data science, machine learning, and AI technologies and tools that can boost team performance, innovation, and business value</li><li>Manage, coach, and mentor a team of software engineers and data scientists, serving as a predominant technical expert</li><li>Actively contribute to and re-use community best practices</li><li>Embody the values and passions that characterize Harvard Business School, with empathy to engage with colleagues from a wide range of backgrounds</li><li>Promote software engineering, data science, machine learning, AI, and digital and emerging technologies at Harvard Business School in relevant channels through community engagement, networking, speeches, and publications as applicable.</li><li>Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents.</li><li>This role is responsible for other duties as assigned.</li></ul> Qualifications Basic Qualifications:<ul><li>Minimum of seven years’ post-secondary education or relevant work experience</li></ul>Additional Qualifications and Skills: Required skills<ul><li>Bachelor’s/Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or 7+ years equivalent work experience</li><li>3-5 years of experience in developing a variety of software products in a commercial environment</li><li>2+ &nbsp;years of experience in building generative AI-based products.</li><li>Strong Python and Typescript/JavaScript skills required;</li><li>Expertise in multivariate statistical modelling (e.g., clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and modern machine learning (ensemble methods, regularization, gradient boosting, representation learning, deep neural networks, transformers architectures, self-supervised learning, and MLOps fundamentals) required</li><li>Experience with cloud computing platforms (AWS, GCP, or other), or equivalent on-premise platform</li><li>Experience working in agile methodology is required</li><li>Prior experience in leading data science and machine learning based software development projects&nbsp;focused on solving business problems and seizing business opportunities</li></ul>Desired skills<ul><li>Proficiency in SQL desirable</li></ul><ul><li>Ability to mentor and lead others; provide hands-on technical guidance; conduct code reviews</li><li>Ability to simultaneously coordinate and track multiple deliverables, tasks, and dependencies across multiple stakeholders / business areas</li><li>Experience with deep learning and neural network architectures (e.g., CNNs, RNNs, transformers), including generative and self-supervised models, and with frameworks such as TensorFlow or PyTorch is desirable.</li><li>Proficiency with data visualization tools is desirable</li></ul> Additional Information <ul><li>Standard Hours/Schedule: 40 hours per week</li><li>Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position</li><li>Pre-Employment Screening: Identity, Education, Criminal</li><li>Other Information:&nbsp;</li><li>This role has the possibility of being remote or hybrid. We consider hybrid to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite a minimum of 3 days per week and departments provide onsite coverage Monday – Friday. Remote work may be considered for individuals living at least 100-mile radius from campus and where all work will be completed within a state that Harvard is registered to do business in (CA - exempt roles only, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA). Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice.</li><li>We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role</li><li>As part of our evaluation, candidates are required to complete a&nbsp;Take Home Assignment&nbsp;after clearing Technical Recruiter Screen. This assignment will test your specific skills/knowledge areas relevant to the role.</li><li>A cover letter is required to be considered for this opportunity&nbsp;</li></ul>Work Format DetailsThis position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on <a href="https://harvie.harvard.edu/sites/g/files/omnuum12046/files/humanresources/files/employment_outside_ma_policy.pdf" target="_blank">Employment Outside of Massachusetts</a>. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.
Salary Grade and RangesThis position is salary grade level 060. Please visit &nbsp;<a href="https://hr.harvard.edu/salary-ranges" target="_blank">Harvard's Salary Ranges</a>  to view the corresponding salary range and related information.&nbsp;
BenefitsHarvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:&nbsp;<ul><li>Generous paid time off including parental leave&nbsp;</li><li>Medical, dental, and vision health insurance coverage starting on day one&nbsp;</li><li>Retirement plans with university contributions&nbsp;</li><li>Wellbeing and mental health resources&nbsp;</li><li>Support for families and caregivers&nbsp;</li><li>Professional development opportunities including tuition assistance and reimbursement&nbsp;</li><li>Commuter benefits, discounts and campus perks&nbsp;</li></ul>Learn more about these and additional benefits on our <a href="https://hr.harvard.edu/benefits-wellbeing" target="_blank">Benefits &amp; Wellbeing Page</a>.&nbsp;
EEO/Non-Discrimination Commitment StatementHarvard University is committed to <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal opportunity</a> and <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination</a>. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.Harvard has an <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity policy</a> that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination policy</a>. Harvard's <a href="https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation_statement.pdf" target="_blank">equal employment opportunity policy</a> and <a href="https://provost.harvard.edu/sites/g/files/omnuum3356/files/2025-07/non-discrimination_and_anti-bullying_policies.pdf" target="_blank">non-discrimination policy</a> help all community members participate fully in work and campus life free from harassment and discrimination.

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