Purestorage
Senior AI Engineer, Agentic AI for Finance
Bangalore, India. Posted 16 days ago
The role
You will architect, build, and deploy production-grade multi-agent systems and foundational platform components. This role drives the Office of the CFO's mission to transform Finance into a strategic advisor.
What you will do
- Architect and deploy multi-agent workflows using LangGraph and Amazon Bedrock AgentCore
- Build enterprise tool integrations and secure data access using Model Context Protocol
- Implement grounded retrieval architectures and read-only query layers on Snowflake
- Develop Next.js portals, administrative consoles, and human-in-the-loop review interfaces
- Establish automated evals, shadow-mode validation pipelines, and role-based access controls
- Implement prompt-injection defenses to safeguard regulated financial workflows
- Monitor platform accuracy, drift, latency, and cost using Datadog and Langfuse
- Guide vendor and in-house engineers through code reviews, architecture specs, and on-call ownership
Required qualifications
- Experience designing, shipping, and running complex multi-agent architectures and LLM applications in production
- Mastery of Python, TypeScript, SQL, LangGraph, and AWS (Bedrock, AgentCore, Lambda, ECS)
- Proficiency developing secure tools and APIs using Model Context Protocol (MCP)
- Experience designing grounded retrieval/RAG pipelines over enterprise data platforms such as Snowflake
- Experience managing fine-grained authorization and data security
- Capability implementing enterprise security controls, audit logging, and human-in-the-loop verification
- Capability implementing continuous automated evaluation frameworks
- Ability to translate complex financial and business processes into clear system specifications
- Ability to evaluate technical trade-offs and guide cross-functional contributors through architectural reviews and mentorship
Benefits
- Flexible time off
- Wellness resources
- Company-sponsored team events
About the company
Everpure (NYSE: P) has evolved from storage pioneer to data platform. Its strategic agenda spans hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.