Director, Software Engineering

Job Description:

Director, Software Engineering - Asset Management Technology

The Role

You are an experienced engineer with a deep hands-on experience of systems development, and a burning desire to deliver software solutions which unlock the capabilities of Generative AI in the context of a professional domain such as finance. You are passionate about this opportunity to help drive and deliver first-of-a-kind knowledge-based applications for investment professionals.

You have prior experience in developing and crafting products using constantly evolving, powerful yet brittle, AI technology. You are comfortable working in a fast-paced environment where the lag between conceptualization, research, development, and productionization is constantly shortening. You are skilled at working with senior business, architecture and engineering stakeholders. You enjoy mentoring junior contributors, helping them grow and learn new skills in today's engineering field. You are a critical thinker who revels in working as part of a team to deliver the most amount of value in the least amount of time.

The Expertise and Skills You Bring

• A Bachelor's or Master's Computer Science or relevant field, with ten years plus of industrial experience.
• Proficient in deploying software products into production capable of handling large volumes of data at scale.
• Strong python development skills delivering enterprise solutions.
• Ability to orchestrate solutions within a cloud-based environment
• Strong understanding of standard methodologies for large scale application design, SOA, microservices, distributed compute, containers, and use of the cloud.
• An understanding of how to deliver into production GenAI applications that can reliably process information in open-ended settings.
• Strong attention to detail with a passion for validation and verification of software components.
• Excellent communication skills and the ability to work with distributed team members.
• Comfortable working directly with internal customers and business stakeholders.

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:

Category:

Information Technology
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.

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.

Client-provided location(s): Boston, MA

Job ID: Fidelity-2117424

Employment Type: OTHER

Posted: 2025-09-09T23:45:30