Senior AI/ML Engineer
$107,000–$216,000 year
On-site · Boston, Massachusetts, United States or Durham, North Carolina, United States
Job Summary
Senior AI/ML Engineer role focused on building and scaling Fidelity’s Enterprise AI/ML Platform. Responsibilities include developing core AI/ML services running in Kubernetes and local environments, designing abstractions over vector databases and multi-step search/information retrieval pipelines, owning real-time data ingestion for retrieval-augmented generation with ACID integrity, shipping developer-friendly APIs/SDKs/CLIs, instrumenting systems with distributed tracing and performance metrics, and turning rapid prototypes into resilient, scalable products. Candidates should demonstrate strong Python service engineering, experience with event-driven or real-time data pipelines, debugging of distributed systems, and the ability to learn new data science/AI libraries quickly. Desired familiarity with DevOps (CI/CD, Docker, Kubernetes), AWS services, data processing, and a product-oriented mindset focused on simplicity and usability.
Required Qualifications
- Experience building AI/ML systems
- Strong Python service engineering
- Experience with Kubernetes and cloud services
- Knowledge of data ingestion, retrieval, and real-time pipelines
- Ability to design APIs/SDKs and developer tools
- Familiarity with DevOps practices (CI/CD, Docker)
- Understanding of distributed systems and performance tuning
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