Vice President of Engineering

Fidelity•Boston, MA

4d•Onsite

About The Position

Fidelity Labs is building a new generation of enterprise AI products embedded in customer‑facing experiences across Fidelity’s businesses. We are seeking a senior engineering leader to serve as the technical and engineering organizational owner of ARGOS—a foundational platform enabling safe, scalable, and compliant AI capabilities for millions of customers. We are an ambitious team committed to innovation and flawless execution. You will report directly to the Managing Director and collaborate with the senior leadership team, ensuring the ARGOS platform meets its ambitious goals. Our team thrives on determined efforts to successfully implement world-class technology solutions. This role combines hands‑on technical leadership, platform architecture ownership, and engineering organization building. You will define the technical direction of the platform, build and lead a high‑caliber engineering team, and partner closely with product, legal, compliance, security, and executive leadership to bring AI capabilities into production responsibly. You will operate with significant autonomy, clear decision rights within the platform domain, and executive‑level visibility. Your work will directly shape how AI is designed, governed, and delivered.

Requirements

13+ years of software engineering experience, including 5 years leading engineering teams.
Expertise in crafting low-latency distributed systems.
Hands-on experience with LLMs.
Experience with fundamental log management architectures.
Experience navigating compliance in regulated industries.
Hired and managed teams of at least 15 engineers.
Deep AWS knowledge.
Minimum 10 years of professional software engineering experience leveraging modern technology stacks, including Python, JavaScript, TypeScript, AWS CDK CLI, and/or Golang.
Proven track record of delivering scalable solutions.
Ability to make high-stakes technical decisions with incomplete information and document outcomes.
Bachelors or equivalent with 15+ years of experience or Masters with 13+ years of experience in Computer Science.

Nice To Haves

Advanced degree or equivalent experience in ML/AI research.
Proven track record in building systems from scratch.

Responsibilities

Serve as the technical and engineering organizational owner of ARGOS.
Define the technical direction of the platform.
Build and lead a high-caliber engineering team.
Partner closely with product, legal, compliance, security, and executive leadership to bring AI capabilities into production responsibly.
Make high-stakes technical decisions with incomplete information and document outcomes.
Provide clear, concise progress reporting to senior leadership.
Communicate risks, tradeoffs, and milestones with transparency and precision.