# Fidelity Investments — Vice President, GenAI Technology - Generated: 2026-09-25 11:02:07 AM EDT - Original/canonical posting: https://www.linkedin.com/jobs/view/4471652076/ - Provider: LinkedIn - Posting time: Found in the 2026-09-25 morning 24-hour sweep; exact time not disclosed - Applicants: Fewer than 25 in the morning LinkedIn capture - Work model/location: On-site — Boston, Massachusetts; Fidelity is transitioning toward full-time on-site work - Compensation: $140,000-$285,000 base plus possible bonus or variable compensation - Travel: Not disclosed; confirm no more than 11% - Positioning track: Technical IC - Fit outcome: PASS — 92% ## Evidence map and direct-match strengths Ph.D., hands-on Python, LLMs, RAG, information retrieval, applied machine learning, production delivery, evaluation, distributed data systems, business use-case framing, executive communication, and technical mentoring. ## Hard or material gaps This is an individual-contributor data-science role despite the VP title. Keith's financial-services work is transferable rather than investment-research specialization, and Fidelity will not provide immigration sponsorship. ## Full normalized job description Job Description VP, DATA SCIENCE - GenAI Technology Note: Fidelity will not provide immigration sponsorship for this position The Role This is an individual contributor data science (with a focus on GenAI) role. The Applied GenAI Technology team within Fidelity's Asset Management Technology is looking for a motivated data scientist with proven experience in GenAI-related projects, machine learning, and data science. In this role, the individual leads GenAI projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most 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, as well as form alignment on next steps. 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. Able to execute on multiple initiatives in parallel. Plays an active mentorship role to others in the team. You Will Have PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 7 plus years of industrial experience. Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding; emphasis on putting (or working with) LLM-based applications in production Experience working and closely collaborating with an Engineering team, sharing best development practices under a common goal of shipping reliable software Deep expertise in Python, as well as data-centric techniques including engineering principles for building efficient inference tools Experience taking an application from research to production and realizing measurable value from it to the team or firm Ability to work on and drive progress for multiple projects or initiatives at the same time Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions or consulting sessions Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results Excellent planning, project management, communication, leadership, and research skills Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research and LLMs to real-world data challenges The Team We are a GenAI technology team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML and LLM-based solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from the exploratory phase all the way to production. We enjoy learning new skills and appreciate the challenges that come from working with state of the art AI models in a rapidly evolving space. Fidelity’s Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $140,000-285,000 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: Data Analytics and Insights ## Artifact metadata - Resume: https://bit.ly/4hos8tv - Cover letter: https://bit.ly/4yWeAMP - Validation: PASS — 2-page resume (971 words), 1-page cover letter (201 words) - JD/resume keyword overlap: 10/14 significant JD keywords (71.4%) - Missing significant JD keywords: business stakeholders, mentorship, project management, measurable impact - Google Drive used: No