Principal Software Engineer
The Role
As a Principal Software Engineer on the Enterprise AI/ML Platform team, you will tackle complex technical challenges in delivering machine learning at enterprise scale. You will develop, build, and improve platform capabilities that are reliable, secure, and cost-efficient. This role lets you work closely with multiple teams to implement practical and robust solutions widely used in production.
The Expertise & Skills You Bring
- Bachelor’s degree, Controller’s degree, or equivalent experience in Computer Science, Software Engineering, or a related field is required. You should have 8+ years, typically 10+, of experience building and operating production platforms at scale.
- Deep software engineering expertise in Python and distributed systems, with a proven track record of building production-grade services. Proficiency in Linux and scripting are required. Familiarity with Java or Groovy is a plus.
- Cloud platform leadership (AWS)—hands-on with S3, Lambda, Batch, and more.
- Experience with DevOps and continuous integration/delivery at scale, including Jenkins and Git-based workflows.
- Expertise in Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering.
- ML enablement in production, including model packaging, deployment strategies, performance tuning, and observability.
- Cross-org technical leadership: mentoring engineers and driving systemic improvements.
The Value You Deliver
- Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units.
- Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production.
- Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services.
- Advance model/data observability—tooling for data and feature drift detection, prediction-quality monitoring and uncertainty signals, and automated diagnostics/explainability.
- Lead cross-platform incident response and post-mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform.
- Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale.
- Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long-term platform roadmap.
The Team
The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, delivers scalable AI/ML capabilities across the organization. We compose and build advanced cloud-based, open-source software platforms in close collaboration with Data Scientists. This enables efficient packaging, deployment, and operation of AI/ML models at production scale. Our team is committed to innovation and excellence, providing critical visibility and insights to drive continuous improvement and maintain our world-class standards.
The hourly pay rate range for this position is $75.00-$85.00 per hour.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.
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. Some roles may have unique onsite requirements. Please consult with your recruiter for the specific expectations for this position.
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.
Company Overview
At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer. Fidelity will reasonably accommodate applicants with disabilities who need adjustments to complete the application or interview process.
Fidelity TalentSource, is the in-house temporary staffing provider for Fidelity Investments. Unlike traditional staffing agencies, we are an internal business unit within Fidelity’s Talent Acquisition team, dedicated to recruiting talent from various backgrounds for roles in Fidelity’s regional and investor center locations. Our mission is to help you experience Fidelity’s diverse and inclusive workplace while expanding your skill set and professional network, with the ultimate goal of conversion to full-time employment as part of Fidelity’s long-term strategy.
For information about working at Fidelity TalentSource, visit FTSJobs.com.
Fidelity TalentSource will reasonably accommodate applicants with disabilities who need adjustments in order to complete the application or interview process. Please email us at HR@ftsjobs.com if you would like to request an accommodation.