Enterprise Architect, Agentic AI Implementation
Location: UK (Remote) Job Overview A strategic leader responsible for defining and implementing an enterprise-wide architecture for autonomous AI agents and Generative AI solutions. This role requires deep expertise in enterprise architecture, AI systems design, and cloud-native platforms (specifically Microsoft Azure, leveraging services like Azure AI Studio/Foundry, Azure OpenAI, Databricks). Collaborate with C-suite executives, Directors, Business and technology stakeholders, data scientists, and engineering teams to ensure that AI initiatives are scalable, secure, ethically sound, and aligned with Ecolab''s core business of water, hygiene, and infection prevention solutions. Key Responsibilities AI Strategy and Roadmap: Own and develop the enterprise AI architecture strategy and technical roadmap, ensuring alignment with Ecolab''s business goals and digital transformation initiatives. Architectural Design and Governance: Design end-to-end scalable, secure, and resilient architectures for agentic AI solutions and multi-agent systems, integrating them with core enterprise systems like SAP, Salesforce, and the ECOLAB3D platform. Define and enforce architectural standards and governance frameworks for the agent lifecycle, data lineage, observability, and interoperability. Technology Evaluation and Selection: Evaluate and select AI platforms, tools, and protocols, such as LangChain, AutoGen, or similar frameworks, ensuring they meet scalability, security, and performance r
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