AI Technology Risk Engineer

skillventory - A Leading Talent Research Firm

AI Technology Risk Engineer designing, building, and shipping AI‑powered products at Fidelity. Embedding technology risk and control foundations into the engineering process.

Posted 6/4/2026full-timeBoston • Massachusetts, New Hampshire, Rhode Island, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $107,000 - $216,000 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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
defining how AI products are built, deployed, and scaled safely across Fidelity

Requirements

What you’ll need

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
building or contributing to agentic workflows and autonomous agents
comfortable working across the full AI product stack including vector databases, embedding strategies
strong experience across cloud‑native AI platforms and infrastructure including Google Vertex AI
understanding of standard cloud capabilities such as API gateways, authentication and authorization
bachelor’s degree or equivalent experience preferred

Benefits

Comp & perks

comprehensive health care coverage and emotional well-being support
market-leading retirement
generous paid time off and parental leave
charitable giving employee match program
educational assistance including student loan repayment, tuition reimbursement, and learning resources

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI productsML-driven productsfull-stack engineeringmodern AI frameworksLangGraphLlamaIndexagentic workflowsautonomous agentsvector databasescloud-native AI platforms