Job Description:
VP , Full Stack Engineering - Python | AWS | GenAI
The Role
The Advanced Strategies and Research (ASR) Quant Development team within Fidelity's Asset Management Technology group is seeking a highly motivated and curious VP of Full Stack Engineering. In this role you will build the foundational platform and services that enable GenAI applications for investment management. You will partner closely with technologists and business partners to tackle complex problems at the intersection of software development and artificial intelligence!
The role will be available in: Boston, MA
The Expertise and Skills You Bring
- A hands-on technical leader with experience developing teams and solutions to their full potential
- Professional experience building scalable systems with deep knowledge of distributed systems, microservices, event-based services, data pipelines, and orchestration
- Expertise in object-oriented programming (OOP) and design patterns
- Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
- Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph, Vector
- Professional experience working in AWS using infrastructure-as-code (CloudFormation)
- Demonstrated experience implementing CI/CD and DevOps best practices
- Proficient in containerization with Kubernetes and Docker
- A creative problem solver and a curiosity fueled by keeping up with advanced technology and industry trends, especially in the GenAI community
- 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.
- Strong presentation and communication skills, with a knack for explaining complex system concepts to a non-technical audience
- Bachelors or equivalent with 15+ years of experience in Computer Science, Engineering, or equivalent
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The Team
The Quant Development team is part of Asset Management's Quantitative Research & Investment Technology group. We partner with Asset Management's Advance Strategies and Research team on cutting edge projects including systematic investment strategies, portfolio construction, risk management, alpha research, and generative AI. We build high quality, robust, and highly-scalable solutions that are used to improve Asset Management's efficiency and decision-making processes.
The base salary range for this position is $124,000-$262,000 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.
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.
Certifications:
Category:
Information Technology