The AI Technology Risk Engineer role focuses on building and delivering AI-powered products while ensuring strong technology risk and control foundations. The position is part of the Enterprise Risk and Analytics team, which collaborates with engineering and product teams to manage risk at scale. The team emphasizes embedding risk thinking into AI platforms and products from the outset. This role offers an opportunity to influence how AI products are developed and deployed safely across the organization.

• 5–8 years of experience building and delivering production AI or ML-driven products.
• Hands-on experience with modern AI frameworks and tooling such as LangGraph and LlamaIndex.
• Experience with agentic workflows, autonomous agents, and orchestration logic.
• Strong experience across cloud-native AI platforms including Google Vertex AI, AWS, and Azure.
• Understanding of standard cloud capabilities such as API gateways and application security controls.
• A bachelor’s degree or equivalent experience is preferred.

• Design, build, and ship AI-powered products and platforms.
• Integrate and harden modern AI stacks including agentic workflows and cloud AI platforms.
• Identify and mitigate technology risks in AI systems.
• Collaborate with engineering, cloud platforms, cybersecurity, legal, and compliance organizations.
• Embed risk thinking directly into AI platforms and products.

• Fidelity offers competitive compensation, annual bonuses, retirement contributions, comprehensive healthcare coverage, parental leave, tuition assistance, wellness programs, and extensive professional development opportunities.