Principal AI Engineer 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. This role is ideal for deep technical experts who also bring system thinking, hands-on delivery experience, and strong cross-functional influence. Core Responsibilities • 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 • Review and challenge architectural proposals from Lead Engineers and ensure alignment with long-term AI strategy • Build and drive internal capability around GenAI innovation, including mentoring, tech talks, and hackathons • Support cross-region scalability, data sensitivity considerations, and deployment performance benchmarking • Stay abreast of industry trends and translate them into actionable design or investment recommendations Required Skills: • 8+ years of experience in AI/ML system design, with solid implementation in GenAI, LLMs, or agentic architectures • Proven experience in architecting production-grade GenAI platforms or frameworks at scale • Deep proficiency in Python, with mastery over GenAI libraries: OpenAI, transformers, Pydantic, Lang chain, faiss, pinecone, etc. • Demonstrated experience integrating AI into cloud environments (Azure preferred: Databricks, Azure Foundry) • Strong knowledge of AI security, privacy frameworks, hallucination mitigation, and governance Nice-to-have skills: • Hands-on implementation of MCP, A2A orchestration, or autonomous agent workflows • Contributor to open-source or community-based GenAI projects • Experience driving AI strategy across a multi-product or multi-cloud ecosystem • Strong executive presence with the ability to translate deep tech to business impact • Published thought leadership (papers, blogs, talks) in the AI/LLM space • 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 • Review and challenge architectural proposals from Lead Engineers and ensure alignment with long-term AI strategy • Build and drive internal capability around GenAI innovation, including mentoring, tech talks, and hackathons • Support cross-region scalability, data sensitivity considerations, and deployment performance benchmarking • Stay abreast of industry trends and translate them into actionable design or investment recommendations A trusted partner at nearly three million customer locations, Ecolab (NYSE:ECL) is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life. Building on a century of innovation, with an annual sales of $15 billion and more than 48,000 associates, Ecolab delivers comprehensive science-based solutions, data-driven insights and world-class service to advance food safety, maintain clean and safe environments, and optimize water and energy use, and improve operational efficiencies and sustainability for customers in the food, healthcare, life sciences, hospitality and industrial markets in more than 170 countries around the world. When you come to work at Ecolab, you get to take on some of the world’s most meaningful challenges and have the opportunity to learn and grow, shape your career, make an impact and quickly see the importance of your work.   For more Ecolab news and information, visit www.ecolab.com.

Principal AI Engineer.

more at Ecolab.

Corporate Account Manager

Sales Manager

Channel Manager

similar roles.

Data Science & AI Intern

Data Science & AI Intern

Manager, Brand & Agency Account Management

Senior Staff Engineer - Network Telemetry & Data Platforms

Junior Pricing Data Scientist

Oncology Clinical Data Abstractor (Contract, Remote)

more at Ecolab.

Corporate Account Manager

Sales Manager

Channel Manager

similar roles.

Data Science &amp; AI Intern

Data Science &amp; AI Intern

Manager, Brand &amp; Agency Account Management

Senior Staff Engineer - Network Telemetry &amp; Data Platforms

Junior Pricing Data Scientist

Oncology Clinical Data Abstractor (Contract, Remote)

Data Science & AI Intern

Data Science & AI Intern

Manager, Brand & Agency Account Management

Senior Staff Engineer - Network Telemetry & Data Platforms