Summary

The senior applied AI engineer builds agentic applications and governed AI platforms using Python, SQL, MCP, and Azure in asset management. The role is hybrid and owns production delivery, evaluation, and lifecycle support.

Responsibilities

• Build and operate governed AI products
• Develop reusable agent tools and connectors
• Create governed enterprise data integrations
• Replace SaaS products with in-house applications
• Instrument AI systems with evaluation and observability
• Lead production incident recovery and service ownership