Job Description:
GenAI Team Lead - Asset Management Technology
The Role
You are an experienced engineering lead 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 help lead an applied technical group conceiving of, building and delivering first-of-a-kind knowledge-based applications for investment professionals. You have prior experience managing a diverse group of talented individual contributors (with expertise in UI/UX, full-stack system development and AI) to deliver production applications using rapidly evolving, powerful yet brittle AI technology. You are comfortable working in a quick time to market technical area where the lag between conceptualization, research and development, and productionization is optimized. You are skilled at working with senior business, architecture and engineering stake-holders, mentoring junior individual contributors, helping them grow and learn new skills in today's fast-paced AI field. You possess excellent leadership and management skills and revel in working as part of a team to solve deep applied problems.
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You will have:
• A PhD or Master's in AI/ML, Computer Science or Finance (with a background in Machine learning), with ten years plus 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.
• 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.
• 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 at 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:
Company Overview
Fidelity Investments is a privately held company with a mission to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients' money.
Join Us
At Fidelity, you'll find endless opportunities to build a meaningful career that positively impacts peoples' lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a Glassdoor Employees' Choice Award, we have been recognized by our employees as a top 10 Best Place to Work in 2024. And you don't need a finance background to succeed at Fidelity-we offer a range of opportunities for learning so you can build the career you've always imagined.
Fidelity's working model blends the best of working offsite with maximizing time together in person to meet associate and business needs. Currently, most hybrid roles require associates to work onsite all business days of one assigned week per four-week period (beginning in September 2024, the requirement will be two full assigned weeks).
At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation, detailed in this document, and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.
We invite you to Find Your Fidelity at fidelitycareers.com.
Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.
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, contact the HR Accommodation Team by sending an email to accommodations@fmr.com.