Job Description
Lead AI Engineer
As a Lead AI Engineer, you will architect and deliver enterprise-grade AI solutions, with a strong emphasis on GenAI, agent-based systems, and LLM orchestration. You will own the technical roadmap, guide engineering best practices, and serve as a thought leader in implementing scalable, secure, and efficient AI workflows. You will drive innovation, elevate the engineering bar, and play a pivotal role in shaping Ecolab’s applied AI capabilities.
Core Responsibilities
• 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 (e.g., with MCP), and hybrid RAG pipelines
• Integrate AI services into enterprise platforms such as Azure Foundry, Databricks, and core business systems
• Lead engineering pods, mentor engineer...
As a Lead AI Engineer, you will architect and deliver enterprise-grade AI solutions, with a strong emphasis on GenAI, agent-based systems, and LLM orchestration. You will own the technical roadmap, guide engineering best practices, and serve as a thought leader in implementing scalable, secure, and efficient AI workflows. You will drive innovation, elevate the engineering bar, and play a pivotal role in shaping Ecolab’s applied AI capabilities.
Core Responsibilities
• 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 (e.g., with MCP), and hybrid RAG pipelines
• Integrate AI services into enterprise platforms such as Azure Foundry, Databricks, and core business systems
• Lead engineering pods, mentor engineer...
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