Principal GenAI Engineer

Fidelity Investments•Jersey City, NJ

1d•Hybrid

About The Position

Principal GenAI Engineer The Role This is an individual contributor data science (with a focus on GenAI) role. The GenAI Technology team within Fidelity's Asset Management Technology is looking for a motivated data scientist with proven experience in machine learning, GenAI-related projects, 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. You will have: 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 Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results 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 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 solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from research to production. We enjoy learning new skills and appreciate the challenges that come from working with state of the art AI models. The base salary range for this position is $126,000-255,000 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. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Certifications: Category: Data Analytics and Insights At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer. Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation please contact the following: For roles based in the US: Contact the HR Leave of Absence/Accommodation Team by sending an email to [email protected], or by calling 800-835-5099, prompt 2, option 2 For roles based in Ireland: Contact [email protected] For roles based in Germany: Contact [email protected] Fidelity Privacy Policy

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
Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions
Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results
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
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.