Lead AI Engineer will architect and deliver enterprise-grade AI solutions with a strong emphasis on GenAI, agent-based systems, and LLM orchestration.
Requirements
- Own end-to-end technical design and delivery of GenAI/agentic systems for internal or external applications
- Architect multi-agent workflows using tools like LangChain, A2A protocols, and custom orchestration frameworks
- Guide the design and tuning of prompt architectures, context strategies, and hybrid RAG pipelines
- Integrate AI services into enterprise platforms such as Azure Foundry, Databricks, and core business systems
- Lead engineering pods, mentor engineers across levels, and drive technical alignment across product and platform teams
- Push the boundaries of performance, latency, and accuracy through research-backed optimization
- Define reusable templates, shared components, and internal GenAI SDKs
- Enforce standards around ethical AI use, context control, prompt security, and hallucination mitigation
Benefits
- Opportunity to drive innovation and shape Ecolab’s applied AI capabilities
- Leadership opportunities and mentorship
- Chance to work on cutting-edge AI technologies
- Collaborative and dynamic work environment
