Principal AI Engineer
Core
Lead the design and evolution of Ecolab's GenAI and agentic AI systems at a strategic level, setting architectural direction and establishing AI governance protocols.
Role type
Principal AI Engineer (GenAI & Agentic Systems)
Builds
Enterprise-wide GenAI architecture, agent frameworks, LLM integration, and multi-agent orchestration platforms
Domain
Industrial chemicals / Enterprise SaaS / Generative AI
Deliverable
production ML models
Required skills
GenAI system design, LLM integration, multi-agent orchestration, Python, cloud environment integration (Azure/Databricks), AI security and governance
Preferred skills
MCP and A2A orchestration implementation, open-source GenAI contributions, multi-cloud ecosystem strategy, executive presence, thought leadership
Technologies
Python, OpenAI, transformers, Pydantic, LangChain, faiss, Pinecone, Azure, Databricks, Azure Foundry
Responsibilities
Define enterprise-wide architecture for GenAI systems and agent frameworks; Establish AI governance standards including security and ethical usage; Lead evaluation of emerging AI tooling; Serve as cross-functional advisor on LLM implementation; Develop reusable components and SDKs; Review architectural proposals from Lead Engineers; Build internal capability through mentoring and tech talks
Seniority
Principal, strategy & mentorship
