AI Technology Risk Engineer

Fidelity•Boston, MA

21h•Hybrid

About The Position

This role is for an AI Technology Risk Engineer who will be responsible for designing, building, and shipping AI-powered products and platforms, while embedding strong technology risk and control foundations from day one. The position involves hands-on engineering, integrating, and hardening modern AI stacks, including agentic workflows, cloud AI platforms, and full-stack systems. It offers an opportunity to define how AI products are built, deployed, and scaled safely across Fidelity. The role is part of ETRA (Enterprise Risk and Analytics) and involves deep partnership with Fidelity’s engineering and product teams to enable innovation while managing risk at scale. The team focuses on building alongside partners, embedding risk thinking directly into AI platforms and products, and collaborating across engineering, cloud platforms, cybersecurity, legal, and compliance organizations to support safe, scalable adoption of AI and agentic technologies. The team is committed to clients, technological leadership, and fostering a culture of learning, inclusion, and continuous improvement.

Requirements

5–8 years of experience building and delivering production AI or ML-driven products, with 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
Bring an engineering mindset to identifying and mitigating technology risks in AI systems

Nice To Haves

A 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 while embedding strong technology risk and control foundations from day one
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