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Staff AI Engineer, Agentic AI for Finance

Job Overview

You will collaborate directly with finance leaders, internal software teams, and external engineering partners, establishing technical direction while shipping clean, auditable code daily.

Key points

  1. Architect and ship resilient, auditable multi-agent workflows using LangGraph and Amazon Bedrock AgentCore, translating core financial logic into deterministic, review-ready production systems.

  2. Design and implement secure, least-privilege Model Context Protocol (MCP) servers and Snowflake retrieval pipelines to enable safe data access across enterprise systems.

  3. Partner with product and engineering teams to build intuitive user review portals, administration consoles, and human-in-the-loop governance workflows that guarantee data safety and SOX…

  4. Drive operational excellence across the AI lifecycle by establishing automated evaluation suites, shadow-mode release gates, and real-time observability for latency, drift, and cost.

  5. Demonstrated track record of designing, building, and operating production-grade agentic AI or LLM systems and distributed architectures, with a focus on cost, latency…

  6. Expertise in secure backend and AI engineering, including Python, TypeScript, SQL, API development (FastAPI/GraphQL), and modern cloud infrastructure (AWS, Docker, CI/CD).

  7. Experience architecting controls for regulated or enterprise environments, including role-based access controls, comprehensive audit logging, human-in-the-loop gates, and AI security standards (prompt defense…

  8. Strong cross-functional collaboration and communication skills, with proven ability to translate complex technical architectures into clear business context for non-technical stakeholders.

Skills

PythonTypeScriptSQLFastAPIGraphQLAWSDockerCI/CD

Experience: Senior-level

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