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 applicationsArchitect multi-agent workflows using tools like LangChain, A2A protocols, and custom orchestration frameworksGuide the design and tuning of prompt architectures, context strategies (e.g., with MCP), and hybrid RAG pipelinesIntegrate AI services into enterprise platforms such as Azure Foundry, Databricks, and core business systemsLead engineering pods, mentor engineers across levels, and drive technical alignment across product and platform teamsPush the boundaries of performance, latency, and accuracy through research-backed optimizationDefine reusable templates, shared components, and internal GenAI SDKsEnforce standards around ethical AI use, context control, prompt security, and hallucination mitigationRequired Skills:
7+ years of experience in AI/ML/GenAI solutioning, with 3+ years in technical leadershipDeep proficiency in Python 3 with strong command over openai, pydantic, transformers, faiss, and langchainDemonstrated experience in deploying scalable GenAI solutions with cloud-native designStrong working knowledge of Azure cloud services, GitHub workflows, and CI/CD best practicesExperience in vector store optimization, token-level control, and prompt performance management.Nice-to-have skills:
Hands-on leadership in projects involving MCP, A2A orchestration, or custom agentic servicesContributor to open-source GenAI tooling or frameworksFamiliarity with prompt observability and compliance toolingExperience in conducting code reviews, architecture walkthroughs, and internal capability buildingThought leadership via internal brown-bags, hackathons, or community talks