Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role

You are an experienced engineer with a deep hands-on experience developing systems and products with 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 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 five years plus of industrial experience.
• Proficient in deploying software products into production capable of handling large volumes of data at scale.
• Design, develop, and maintain robust, scalable, and secure Python-based applications and services.
• Strong understanding of Python internals, performance tuning, and advanced language features.
• Write clean, idiomatic, and well-documented Python code following PEP8 and enterprise coding standards.
• Optimize Python applications for performance, memory usage, and concurrency.
• 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.
• Strong communication skills and the ability to work with distributed team members.

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.

Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

The base salary range for this position is $107,000-216,000 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 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.

Certifications:

Category:

Information Technology