Director GenAI Technology
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.
Maintainer signals as of 9/24/2026
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 lead applied machine-learning and generative-AI projects with complex business and technical challenges. You will identify analytical priorities, collect and qualify data, build applications, move research into production, communicate findings to stakeholders, and deliver measurable business impact.
Requirements
- PhD or Master’s degree in Data Science, Computer Science, Statistics, Physics, or Finance with a statistics background
- Four or more years of industrial experience
- Experience with LLMs, information retrieval, clustering, and coding
- Expertise in Python and inference-tool engineering
- Experience taking applications from research to production
- Experience identifying AI and ML use cases with business stakeholders
- Planning, project management, leadership, research, and data-visualization skills
- No immigration sponsorship
Responsibilities
- Lead machine-learning projects with complex business and technical challenges
- Develop solutions for analytical needs with business and technology partners
- Move code from research to production
- Identify, collect, and qualify data
- Establish analytic goals and priorities
- Present reports and findings to technical and non-technical audiences
- Communicate statistical findings through data visualizations
Benefits
- Comprehensive health care coverage
- Emotional well-being support
- Retirement benefits
- Paid time off
- Parental leave
- Charitable giving employee match program
- Student loan repayment
- Tuition reimbursement
- Learning resources
