Vice President, GenAI Technology

Fidelity Financial Services

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Boston, MA
Salary
$140,000–$285,000 / yr
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $206k
This role $212k
$123k most similar roles pay here $302k

This role pays more than 63% of similar roles. Most pay $161,250–$251,150 — the shaded band above. At the midpoint, this role pays about $212k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Fidelity Financial Services

Fidelity Investments is one of the largest financial services companies in the world, offering brokerage services, mutual funds, retirement planning, wealth management, and life insurance to individuals and institutions. Industry: Financial Services & Investment Management

Fidelity Financial Services currently has 73 open roles on FindRole.

Listed pay typically runs $126,000–$199,592 across 17 roles with salary data.

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At a glance

TL;DR · Vice President, GenAI Technology

Vice President, GenAI Technology is an individual contributor role within the Applied GenAI Technology team in the Asset Management vertical. The successful candidate will lead diverse projects with complex technical challenges, overseeing the end-to-end process of moving code from research to production while collaborating with senior business and technology partners. Key responsibilities include identifying priorities, performing data collection and qualification, and presenting findings to both technical and non-technical audiences. The role requires deep expertise in Python and experience with LLMs for information retrieval, clustering, and coding. Candidates must possess skills in data-centric techniques, engineering principles for inference tools, and data visualization. This position focuses on solving real-world data challenges by building AI/ML and LLM-based solutions to provide insights for investment professionals, portfolio managers, quants, and traders within the quantitative research and investment technology space.

What you'll do

  • Lead GenAI projects to solve complex business and technical challenges for the Asset Management division.
  • Oversee the end-to-end process of moving machine learning code from research into production environments.
  • Develop LLM-based applications for information retrieval, clustering, and coding tasks.
  • Execute data identification, collection, and qualification activities to support analytical goals.
  • Consult with business partners to identify AI/ML use cases and establish project priorities.
  • Communicate technical findings and data visualizations to both technical and non-technical stakeholders.
  • Mentor team members and manage multiple initiatives simultaneously.
  • Build efficient inference tools using Python and other data-centric engineering principles.

What we're looking for

  • PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics).
  • Experience using LLMs for data science problems, information retrieval, clustering, and coding.
  • Experience moving applications from research to production to deliver measurable value.
  • Deep expertise in Python and data-centric engineering principles for building efficient inference tools.
  • Experience collaborating with Engineering teams to share best development practices and ship reliable software.
  • Experience guiding business stakeholders on identifying AI/ML use cases and communicating results through data visualizations.
  • Excellent planning, project management, communication, leadership, and research skills.

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