Director, GenAI Technology

Fidelity Investments•Boston, MA

4d•$126,000 - $255,000•Onsite

About The Position

This is an individual contributor applied GenAI engineer/data science (with a focus on GenAI) role. The GenAI Technology team within Fidelity's Asset Management Technology is looking for a motivated applied GenAI engineer/data scientist with proven experience in machine learning, GenAI-related projects, application building and data science. In this role, the individual leads machine learning 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. 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

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, 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 at the same time
Excellent planning, project management, 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

Nice To Haves

Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results
Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research and LLMs to real-world data challenges

Responsibilities

Leads machine learning 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.
Executes on direction for data identification, collection and qualification activities.
Presents reports and findings to senior technical and non-technical audiences.
Guides business on identifying AI/ML use cases and optimally contributing to brainstorming sessions.