AI Technology Risk Engineer
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. This role is part of ETRA (Enterprise Risk and Analytics) and partners deeply with Fidelity’s engineering and product teams to enable innovation while managing risk at scale. We are focused on building alongside our partners, embedding risk thinking directly into AI platforms and products rather than reviewing them after the fact. We collaborate across engineering, cloud platforms, cybersecurity, legal, and compliance organizations to support safe, scalable adoption of AI and agentic technologies. We are committed to our clients, to technological leadership, and to 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
- An engineering mindset to identifying and mitigating technology risks in AI systems
- A bachelor’s degree or equivalent experience is preferred
Nice To Haves
- 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 from day one
- Hands‑on engineering, integrating, and hardening modern AI stacks including agentic workflows, cloud AI platforms, and full‑stack systems
- Defining 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
- Embedding risk thinking directly into AI platforms and products
- Collaborating across engineering, cloud platforms, cybersecurity, legal, and compliance organizations to support safe, scalable adoption of AI and agentic technologies
- Identifying and mitigating technology risks in AI systems
Benefits
- Diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
