VP, Engineering - GenAI Technology

A privately held financial services company focused on making financial expertise broadly accessible and effective.
$124,000 - $262,000
Machine Learning
Principal Software Engineer
Hybrid
5,000+ Employees
15+ years of experience
AI · Finance

Description For VP, Engineering - GenAI Technology

The Advanced Strategies and Research (ASR) Quant Development team within Fidelity's Asset Management Technology group is seeking a highly motivated VP of Full Stack Engineering. This role focuses on building foundational platforms and services that enable GenAI applications for investment management. The position involves partnering with technologists and business partners to tackle complex problems at the intersection of software development and artificial intelligence.

The ideal candidate should be a hands-on technical leader with experience in developing teams and scalable solutions. Key technical requirements include expertise in distributed systems, microservices, event-based services, data pipelines, and orchestration. Strong knowledge of Python, AWS, containerization with Kubernetes, and various database technologies is essential.

The role requires deep expertise in GenAI applications, including experience with state-of-the-art LLMs from providers like OpenAI, Google, and Anthropic. The candidate should have a strong background in combining symbolic, logic-based representations with informal, text-based domain content to solve business problems.

The Quant Development team is part of Asset Management's Quantitative Research & Investment Technology group, working on cutting-edge projects including systematic investment strategies, portfolio construction, risk management, alpha research, and generative AI.

The position offers competitive compensation with a base salary range of $124,000-$262,000 per year, plus comprehensive benefits including health care coverage, retirement benefits, generous paid time off, parental leave, and educational assistance including student loan repayment and tuition reimbursement.

Last updated 8 days ago

Responsibilities For VP, Engineering - GenAI Technology

  • Build foundational platform and services for GenAI applications
  • Partner with technologists and business partners
  • Implement CI/CD and DevOps best practices
  • Develop scalable systems and data pipelines
  • Lead and develop teams
  • Work on systematic investment strategies
  • Manage portfolio construction and risk management systems

Requirements For VP, Engineering - GenAI Technology

Python
Kubernetes
MongoDB
Redis
  • 15+ years of experience in Computer Science, Engineering, or equivalent
  • Experience building scalable systems with distributed systems knowledge
  • Expertise in object-oriented programming and design patterns
  • Experience with unit testing and TDD methodologies
  • Skilled in SQL, NoSQL, Graph, and Vector databases
  • AWS experience using infrastructure-as-code
  • Proficient in containerization with Kubernetes and Docker
  • Deep expertise in Python and data-centric AI techniques
  • Strong presentation and communication skills

Benefits For VP, Engineering - GenAI Technology

401k
Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
  • 401(k) with company match
  • Medical, dental, vision and prescription drug coverage
  • 16-week maternity leave & 12-week parental leave
  • Student loan assistance

Interested in this job?

Jobs Related To Fidelity Investments VP, Engineering - GenAI Technology

Technical Lead

Technical Lead position at Fidelity Investments leading AI SaaS product development and engineering teams.

Director, Architecture - AI/ML Solution Architect

AI/ML Solution Architect position at Fidelity Investments leading architecture for virtual assistants and copilot experiences.

Principal GenAI Engineer (Asset Management Technology)

Principal GenAI Engineer role at Fidelity Investments developing LLM-based knowledge systems for investment professionals, requiring 7+ years experience in AI/ML.

Director Machine Learning Ops Engineer

Lead ML Ops engineering role at Fidelity Labs, building and maintaining next-gen ML platform and infrastructure for financial services innovation.

Director, Software Engineering

Lead software engineering role focusing on GenAI implementation in finance, developing LLM-based knowledge systems for investment professionals at Fidelity.