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Senior AI Engineer, Agentic AI for Finance

Pure Storage
NewPosted today

LOCATION

Bangalore · Onsite

EXPERIENCE

Not specified

SKILLS REQUIRED

AI AgentsLangGraphLarge Language ModelsPythonModel Context ProtocolRAGAWSSnowflakeTypescriptSQL

Job description

Overview

Join the AI Factory as a founding engineer to architect, build and deploy production-grade multi-agent systems and foundational platform components for the Office of the CFO, transforming Finance into an agile strategic advisor.

What you'll do

  • Design, ship and own end-to-end multi-agent systems using LangGraph and Amazon Bedrock AgentCore, keeping financial calculations, business logic and outputs deterministic, auditable and production-ready.
  • Create secure, least-privilege Model Context Protocol (MCP) tools across core systems (ERP, CRM, ticketing).
  • Implement grounded retrieval architectures and read-only query layers on Snowflake to deliver trusted operational insights.
  • Develop performant Next.js portals, administrative consoles and human-in-the-loop review interfaces for business teams to validate outputs and maintain governance.
  • Establish automated evals, shadow-mode validation pipelines, role-based access controls, audit logging and prompt-injection defenses before release.
  • Monitor platform accuracy, drift, latency and cost using observability tools such as Datadog and Langfuse.
  • Guide vendor and in-house engineers through code reviews, architecture specs and on-call ownership.

What you'll need

  • Deep hands-on experience designing, shipping and running complex multi-agent architectures and LLM applications in production.
  • Mastery of Python, TypeScript, SQL, LangGraph and cloud ecosystems such as AWS (Bedrock, AgentCore, Lambda, ECS).
  • Demonstrated proficiency developing secure tools and APIs using Model Context Protocol (MCP).
  • Proficiency designing grounded retrieval/RAG pipelines over enterprise data platforms such as Snowflake.
  • Management of fine-grained authorization and data security.
  • Proven capability implementing enterprise security controls, comprehensive audit logging, human-in-the-loop verification and continuous automated evaluation frameworks, managing latency, cost and accuracy trade-offs.
  • Ability to translate complex financial and business processes into clear system specifications, evaluate technical trade-offs and guide cross-functional contributors through architectural reviews and mentorship.

Details

  • Location: Bangalore, India.
  • Primarily in-office; expected to work from the Bangalore office in compliance with company policies, unless on PTO, work travel or other approved leave.

Read the full description and apply on the company’s own careers page.

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Senior AI Engineer, Agentic AI for Finance