Director, GenAI Technology

Fidelity Investments

Applied GenAI engineer/data scientist with a focus on machine learning projects at Fidelity's Asset Management Technology. Coordinating efforts with stakeholders and driving results with measurable business impacts.

Posted 7/30/2026full-timeBoston • Massachusetts, New Hampshire, New Jersey, North Carolina, Rhode Island • 🇺🇸 United StatesLead💰 $126,000 - $255,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading machine learning projects, with a strong focus on Python and LLMs, while effectively communicating results to both technical and non-technical stakeholders. Proven ability to manage multiple projects and deliver measurable business impact through data-driven solutions.

Highest-signal resume keywords

PhD Or Master's In Data ScienceDeep Expertise In PythonExperience With LLMsProject Management SkillsExperience Communicating Results

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ScienceInformation RetrievalClusteringCodingStatistical AnalysisData IdentificationData CollectionData QualificationResearch To Production

Soft Skills

LeadershipCollaborationPlanningProject ManagementCommunication

Industry Keywords

AI/ML Use CasesBusiness Analytical NeedsAnalytic GoalsTechnical ChallengesBusiness Stakeholders

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Leads machine learning projects with diverse scope and complex business and technical challenges
Coordinates with senior business and technology partners to develop solutions to complex business analytical needs
Oversees end-to-end process to push code from research to production
Delivers results with clear and measurable impact to the business
Consults with senior business and technology partners to identify priorities and establish analytic goals
Executes on direction for data identification, collection and qualification activities
Presents reports and findings to senior technical and non-technical audiences
Enjoys collaboration and revels in working as part of a team to solve deep applied problems

Requirements

What you’ll need

PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 4 years plus of industrial experience
Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding
Deep expertise in Python
Experience taking an application from research to production and realizing measurable value
Ability to work on and drive progress for multiple projects at the same time
Experience guiding business on identifying AI/ML use cases
Excellent planning, project management, leadership, and research skills
Experience communicating results to business stakeholders
Enthusiasm for learning new skills and domains

Benefits

Comp & perks

comprehensive health care coverage and emotional well-being support
market-leading retirement
generous paid time off and parental leave
charitable giving employee match program
educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career