Principal GenAI Engineer (Asset Management Technology)

Job Description: The Role You are a seasoned scientist with a deep understanding of GenAI, and a burning desire to unlock its mysteries in the context of a professional domain such as finance. You are excited about this once-in-a-lifetime opportunity to completely rethink the foundations of your discipline (Computer Science, AI, Finance) around an epoch-defining new technology (in this case, GenAI). You are at home in an applied technical group conceiving of, building and delivering first-of-a-kind knowledge-based applications. You have excellent collaboration skills and revel in working as part of a team to solve deep applied problems. You will have: You have a PhD or Master's in AI/ML, Computer Science or Finance (with a background in Machine learning), with 7 plus years of industrial experience. An understanding of how state-of-the-art LLMs can be induced to use explicitly supplied structured and unstructured information, their implicit world knowledge and their slow-thinking abilities to solve domain-specific problems (such as extraction, evaluation and comparison or argument structure in investing domains). A grasp of logic- and ML-based AI techniques for knowledge extraction, representation and reasoning. Expertise in combining symbolic, logic-based representations (e.g. knowledge graphs, ontologies) with informal, text-based domain content to solve business problems An understanding of how to deliver into production GenAI applications that can reliably process information in open-ended settings, e.g. by playing off state-of-the-art LLMs (from OpenAI, Google, Anthropic) against each other. A track record of managing the "exploration vs exploitation" tradeoff to deliver innovative solutions for first-of-a-kind problems. Deep expertise in Python, data-centric AI (ML) techniques, particularly as applied to text, tables, documents. Excellent knowledge of standard tools of the trade for machine learning engineers. The Team We are developing a Large Language Model (LLM)-first knowledge stack for investment professionals in Fidelity Asset Management – analysts and portfolio manager in equities, fixed income, high income, direct lending. The stack will be able to process all the documents of interest to analysts – e.g., analyst reports, earnings notes, spreadsheet models, prospectuses, loan indentures, news reports, regulatory filings. It will support the deployment of personalized assistants that can assist principals in their full range of information consumption/processing/production tasks. Certifications: Category: Data Analytics and Insights Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office. 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 accommodations@fmr.com, or by calling 800-835-5099, prompt 2, option 2 For roles based in Ireland: Contact AccommodationsIreland@fmr.com For roles based in Germany: Contact Accommodationsgermany@fmr.com Fidelity Privacy Policy