Principal AI ML Engineer
Fidelity Investments is a privately held, Boston-headquartered financial services company providing investing, trading, retirement, wealth management, brokerage, workplace benefits, custody and clearing, and digital-asset services.
About Fidelity Investments
Fidelity serves individual investors, employers, wealth-management firms, institutions, innovators, and charitable donors through diversified financial-services businesses. Current offerings include brokerage and trading, mutual funds and exchange-traded products, retirement and workplace savings, financial planning and advice, wealth management, institutional custody and clearing, and crypto/digital-asset products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop and deploy production AI and machine-learning systems using LLMs, RAG, and agentic AI frameworks. You will build scalable data foundations, APIs, and cloud infrastructure; establish monitoring, governance, and MLOps practices; integrate AI capabilities with enterprise workflows; and evaluate emerging technologies.
Requirements
- 6 or more years of software or AI and machine-learning engineering experience
- Experience building and deploying production AI solutions
- Experience with LLMs, prompt engineering, context engineering, RAG, and agentic AI frameworks
- Advanced Python proficiency
- Experience designing APIs and integrating AI capabilities with enterprise applications and data platforms
- Experience with cloud-native AI, monitoring, observability, governance, and MLOps
- Experience with AWS, Snowflake, dbt, Airflow, LangChain, LangGraph, or similar technologies
Responsibilities
- Develop and implement production AI and machine-learning solutions
- Build scalable data foundations, APIs, and cloud-based AI infrastructure
- Build reliable, secure, and observable systems
- Translate business and technical challenges into AI solutions
- Establish monitoring, governance, and MLOps practices
- Evaluate emerging technologies and apply them to measurable outcomes
Benefits
- Fully paid parental leave
- On-site health and wellness centers
