Principal AI Engineer

About the role

As a Principal AI Engineer, you will lead the design and evolution of Ecolab’s GenAI and agentic AI systems at a strategic level. You will set architectural direction, establish AI governance protocols (including security, context control, and responsible use), and influence how Ecolab integrates advanced AI across its digital ecosystem.

What you'll do

• Define enterprise-wide architecture for GenAI systems, agent frameworks, LLM integration, and multi-agent orchestration
• Establish AI governance standards — including security, ethical usage, context management (MCP), agent-to-agent protocols (A2A), and explainability
• Lead evaluation and integration of emerging AI tooling and frameworks, from retrieval infrastructure to observability platforms
• Serve as a cross-functional advisor on LLM implementation across product teams, engineering pods, and data science
• Develop reusable components, SDKs, or templates that standardize GenAI deployment patterns

What you need

• 8–14 yrs of experience
• Machine learning
• LLMs
• Python
• System design
• Any graduate

Good to have

• Databricks
• Azure