Principal Software Engineer

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., * 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.

• 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 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., 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.