AI Technology Risk Engineer

Fidelity Investments•Smithfield, RI

2d•$107,000 - $216,000

About The Position

Do you want to build real AI products at scale while shaping how they are delivered responsibly across the enterprise? We are hiring an AI Technology Risk Engineer to designing, building, and shipping AI‑powered products and platforms—while embedding strong technology risk and control foundations from day one! In this role, you will be hands‑on engineering, integrating, and hardening modern AI stacks including agentic workflows, cloud AI platforms, and full‑stack systems. This is an opportunity to help define how AI products are built, deployed, and scaled safely across Fidelity.

Requirements

5–8 years of experience building and delivering production AI or ML‑driven products
Strong full‑stack engineering depth
Hands-on experience with modern AI frameworks and tooling such as LangGraph, LlamaIndex, and agent‑based architectures
Built or contributed to agentic workflows, autonomous agents, and orchestration logic that integrate tools, memory, and decisioning
Comfortable working across the full AI product stack, including vector databases, embedding strategies, indexing, caching, and long‑term memory patterns
Strong experience across cloud‑native AI platforms and infrastructure, including Google Vertex AI, as well as AWS and Azure services used to deploy, scale, and secure AI applications
Understand and implement standard cloud capabilities such as API gateways, authentication and authorization, application security controls, CI/CD, and observability
Engineering mindset to identifying and mitigating technology risks in AI systems
Bachelor’s degree or equivalent experience is preferred
Experience building AI products in regulated or enterprise environments strongly valued

Responsibilities

Designing, building, and shipping AI‑powered products and platforms
Embedding strong technology risk and control foundations
Hands-on engineering, integrating, and hardening modern AI stacks including agentic workflows, cloud AI platforms, and full‑stack systems
Help define how AI products are built, deployed, and scaled safely across Fidelity
Partnering deeply with Fidelity’s engineering and product teams to enable innovation while managing risk at scale
Building alongside partners, embedding risk thinking directly into AI platforms and products rather than reviewing them after the fact
Collaborating across engineering, cloud platforms, cybersecurity, legal, and compliance organizations to support safe, scalable adoption of AI and agentic technologies