Senior/Lead Applied AI Engineer

About the role

The Senior/Lead Applied AI Engineer will architect, build and operate production‑grade AI Agents and multi‑agent systems that translate complex enterprise workflows into autonomous AI logic. The role blends deep domain expertise, hands‑on technical skills, and applied AI development while providing technical leadership across the agent delivery lifecycle.

Key responsibilities

• Design and develop autonomous AI agents and multi‑agent orchestrations for purchasing, vendor management, and approval processes.
• Translate business processes and sourcing workflows into structured agent logic, defining boundaries, tool contracts, memory strategies, and orchestration flows.
• Collaborate with implementation, platform, and sustaining engineering teams to deploy, monitor, and maintain agents in production environments.
• Lead technical discussions, set implementation standards, and produce documentation, runbooks, and decision logs for support teams.

Required profile

• 5+ years of software engineering or applied AI experience, including 1‑2 years focused on generative AI, agentic AI, or LLM‑based systems in production.
• Proven ability to translate ambiguous business goals into technical architectures and to drive technical decisions while mentoring other engineers.

Required skills

• Python
• JavaScript
• LangChain
• LangGraph
• Model Context Protocol (MCP) / A2A interoperability standards
• Generative AI and Large Language Model (LLM) development
• Enterprise integration and automation logic