Senior AI/ML Engineer

Job Description: Note: Fidelity is not providing immigration sponsorship for this position. Principal AI/ML Platforms and Backend Engineer Bring a builder’s mindset to Fidelity’s Enterprise AI/ML Platform and help us scale the next generation of LLM-powered, agentic and search systems. You will work on the core platform that connects tools, agents, data, and models—expanding our MCP and Agentic ecosystem, abstracting vector databases, adapting and enhancing open-source libraries, and automating experimentation for high-quality retrieval and reasoning. The Team The enterprise AI/ML platform 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 Services in production. What you’ll do - Build the core AI/ML services running in Kubernetes and locally in 'Playground' mode - Design clean abstractions over vector databases and multistep Search/Information Retrieval pipelines - Own automated real-time data ingestion for RAG: connectors, streaming pipelines, chunking/embedding strategies, parallel processing, retrieval metrics, resilience and restartability while guaranteeing ACID integrity of processed data and elimination of redundant document processing. - Ship developer-friendly APIs/SDKs, CLIs, and templates that make it trivial to develop agents, tools, and information retrieval pipelines at enterprise scale. - Instrument everything: distributed tracing for services and agentic/tool sessions, retrieval quality metrics, performance metrics, resource usage and failure forensics. - Turn rapid prototypes into resilient systems—pragmatic designs that are simple to use, which scale in hardware efficient manner, and above all as simple as possible. - Read and distill open-source frameworks, keep what’s valuable, replace the bloated with lean, well engineered Python modules. Team Culture: - Lead through code, productivity and knowledge sharing. - Ask sharp questions, challenge complexity, and encourage others to do the same. - We embrace a flat hierarchy where the best ideas win, regardless of seniority. What you bring Engineering perspective: - Strong Python service engineering: sound OOP, clear interfaces, thorough tests, and an obsession with readability and maintainability. - Real-world performance tuning across services and data stores: concurrency, async I/O, queues, caching, SQL/NoSQL indexing, pagination, and backpressure. - Experience building event-driven systems and/or real-time pipelines for ingestion and inference. - Mastery of debugging complex, distributed behavior—reproducible experiments, simulations, and evidence-driven conclusions. - Comfort reading open-source code and producing simplified alternatives to minimize code legacy and cognitive load. - Effective use of developer-assist tools to amplify output while keeping quality high and code bloat at minimum. - Produce services metrics that help us understand parallelism services can support in stable fashion, ensuring efficient hardware utilization. Propose scaling approaches based on application hardware utilization footprint and metrics. - Familiarity with key Data Science, Machine Learning, or AI libraries is a bonus, but not mandatory, as long as the candidate can demonstrate the ability to quickly learn new concepts and paradigms. Product and Ownership perspective: - Fast learning across new domains, with a knack for spotting and reducing unnecessary complexity. Team works on new products, understanding and implementing latest tech is paramount, learning fast. - Product sensibility: start from a blank slate, ask the right questions, and design primitives that feel 'Apple-like' in usability. - Produce functional picture and design of a product, based on that write requirements, epics and come up with stories which cover entire scope. Aim is that most of the risks are identified at start, not during implementation. - Collaborative communication, healthy debate, and leading by example. Comfortable switching hats to do what the projects need. - Ability to work in a highly dynamic environment - Attention to detail, being thorough in tests and questioning assumptions, being productive without a need for supervision. Our team takes pride in quality of our products. Relevant and Nice to have skills: - DevOps practices (CI/CD, Docker, Kubernetes) and infrastructure as code. - AWS skills: EC2, S3, RDS, Lambda, IAM etc. - Understanding Data, performant ETL, Analytics. ## Why this role - Shape the core platform for AI/ML services and retrieval used across Fidelity. - High ownership, fast iteration, and the chance to influence design. - Work on hard, high-impact problems with a team that values simplicity, experimentation, pace and teaching. Is this role for you? - If reading this job spec brought a smile to your face or sparked a jolt of enthusiasm, you should apply (assuming adequate skill/capability levels). - To enjoy and thrive in our team, you should be a highly motivated and productive individual who genuinely loves what they do. 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 benefits 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. Certifications: Category: Information Technology 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 participate in the application or interview process. 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