Director, GenAI Technology

About the role

The GenAI Technology team within Fidelity's Asset Management Technology seeks a motivated applied GenAI engineer/data scientist to lead machine learning projects with diverse scope and complex business and technical challenges. The team partners with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML solutions that provide insight and drive measurable value, focusing on applied problems that can be taken from research to production.

Responsibilities

• Lead machine learning projects addressing diverse scope and complex business and technical challenges.
• Coordinate with senior business and technology partners to develop solutions for complex analytical needs.
• Oversee the end‑to‑end process to push code from research to production.
• Deliver results with clear and measurable impact to the business.
• Consult with senior business and technology partners to identify priorities and establish analytic goals.
• Execute direction for data identification, collection, and qualification activities.
• Present reports and findings to senior technical and non‑technical audiences.
• Collaborate as part of a team to solve deep applied problems.

Qualifications

PhD or Master's degree in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics) and 4+ years of industrial experience.

Skills

• Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding.
• Deep expertise in Python and data‑centric techniques, including engineering principles for building efficient inference tools.
• Experience taking an application from research to production and realizing measurable value.
• Ability to work on and drive progress for multiple projects simultaneously.
• Experience guiding business on identifying AI/ML use cases and contributing to brainstorming sessions.
• Desire to create a climate that values contributions, drive, ownership, initiative, and achievement of results.
• Excellent planning, project management, leadership, and research skills.
• Experience communicating results to business stakeholders with clear, concise, understandable delivery, including conveying statistical findings through data visualizations.
• Enthusiasm for learning new skills and domains, applying state‑of‑the‑art ML research and LLMs to real‑world data challenges.

Benefits

• Comprehensive health care coverage and emotional well‑being support.
• Market‑leading retirement plans.
• Generous paid time off and parental leave.
• Charitable giving employee match program.
• Educational assistance including student loan repayment, tuition reimbursement, and learning resources for career development.

Pay

The base salary range for this position is $126,000‑255,000 USD per year, with placement based on responsibilities, scope, location, experience, and other factors. Base salary is part of a total compensation package that may also include bonus or other variable compensation.