1 day ago
Boston, MA, USAStaff+
Base Salary
$126k - $255k/yr
Responsibilities
- Design and lead production LLM, retrieval, and knowledge-graph systems for investment research and decision support.
- Own the end-to-end architecture of ML applications, including data pipelines, model serving, evaluation, and production monitoring.
- Set engineering standards for AI evaluation, MLOps practices, and code quality and drive adoption across the team.
- Work with quants and portfolio managers to define problems, prioritize work, and shape the product roadmap.
- Mentor engineers through design reviews, code reviews, and technical guidance.
- Collaborate with data engineering, platform, risk, and compliance teams to deliver governed AI systems.
- Evaluate AI technologies and vendors and make build-versus-buy recommendations.
Requirements
- 8+ years of experience in software or machine learning engineering with a record of leading ML products shipped to production.
- Expert Python, strong SQL, and experience with large-scale databases.
- Strong experience building scalable backend services and APIs to serve ML models.
- Hands-on production experience with LLMs, generative AI, information retrieval, and vector databases.
- Practical experience with graph databases and knowledge-graph modeling, such as Neo4j and Cypher.
- Strong experience with CI/CD, containers, orchestration, observability, and a major cloud platform and its ML services.
- Experience building data pipelines and orchestrating workflows, such as with Airflow.
- Strong software engineering practices, including testing, code review, maintainable design, and agile delivery.
- Technical influence beyond the immediate team through mentoring, standards-setting, or architecture leadership.
- Ability to explain complex models, results, and trade-offs to nontechnical and investment audiences.
- Preferred: deep production MLOps experience, investment data or buy-side workflow experience, LLM guardrails and AI governance experience, graph ML or ontology experience, enterprise scheduler experience, and familiarity with Streamlit, React, or Vue.
- An advanced degree in Computer Science, Software Engineering, or a related field is preferred; equivalent experience is equally valued.
Benefits
- Comprehensive health care coverage and emotional well-being support.
- Market-leading retirement benefits, paid time off, and parental leave.
- Charitable giving employee match program.
- Educational assistance including student loan repayment, tuition reimbursement, and learning resources.
- Fidelity is transitioning toward a full-time onsite working model through a phased rollout; onsite requirements vary by region and role and may evolve.
- The application window closes when the position is filled or unposted.
Tech Stack
Apache AirflowAWSAzureDockerGitHub ActionsGoogle Cloud PlatformJenkinsKubernetesNeo4jPythonReactSQLVue.js
Categories
About Fidelity
Fidelity Investments provides brokerage, retirement plan recordkeeping, wealth management, and asset management services to individuals, employers, advisors, and institutions, plus online trading platforms and mutual funds and ETFs. It earns fees from managing and administering assets, advisory services, and brokerage transactions. Founded in 1946 and headquartered in Boston, it is privately held and administers trillions of dollars for U.S. and global customers.