Senior AI Engineer, Agentic AI for Finance
Everpure (formerly Pure Storage) (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 45–85 LPA
Posted 3h ago
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Job description
Structured overview of role & requirements
About This Role
- Architect, build, and deploy production-grade multi-agent AI systems for finance workflows ensuring determinism, auditability, and production readiness.
- Develop secure enterprise integrations and user interfaces enabling operational insights and strict governance.
- Implement AI safety, governance frameworks, monitoring, and lead technical direction with internal teams and vendor partners.
Minimum Requirements
- Proven experience designing and operating complex multi-agent AI systems in production using Python, TypeScript, SQL, LangGraph, AWS (Bedrock, AgentCore).
- Expertise in enterprise data integration, secure API/tool development with Model Context Protocol (MCP), and grounded retrieval architectures (e.g., Snowflake).
- Experience implementing security controls, audit logging, human-in-the-loop verification, and automated evaluation frameworks.
- Work location requirement: Must work from Bangalore office as primary workplace; compliance with in-office policy mandatory. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Strong technical leadership in cross-functional, enterprise AI development focusing on finance and regulated workflows.
- Experienced in translating complex financial/business processes into scalable AI system architectures with rigorous governance.
- Comfortable operating in a primarily on-site Bangalore environment collaborating closely with internal and vendor engineers.