Jobs in Oldham, United States

Location: UK (Remote)

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 & 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.

• 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 requirements within the Azure environment.
• Implementation Oversight: Guide development and operations teams through the deployment, integration, and testing of AI solutions. Champion best practices in AIOps, LLMOps, and agile methodologies to ensure smooth delivery and production deployment.
• Data and Integration: Ensure data readiness for AI initiatives, collaborating with data engineers to design robust data pipelines (leveraging tools like Databricks) that provide timely, accurate, and contextual data to AI agents.
• Security, Ethics, and Compliance: Embed robust security measures, data privacy, and ethical AI principles into every architectural layer. Ensure solutions comply with global AI regulations and internal governance policies.
• Stakeholder Collaboration & Change Management: Collaborate with cross-functional teams, including product managers, data scientists, and business leaders, to translate business needs into AI solutions. Lead change management initiatives to foster adoption and ensure human oversight and a clear escalation path for autonomous agents.
• Innovation and Research: Stay current with industry trends and emerging technologies in Generative AI and Agentic AI, introducing novel approaches to enhance the architecture practice and identify new business opportunities.

• 15+ years of IT experience, with at least 5+ years in an enterprise architecture role and 3+ years in AI/ML, including practical experience with Agentic AI systems and Generative AI.
• Deep expertise in enterprise architecture frameworks (e.g., TOGAF, Zachman) and cloud-native architecture (preferably Microsoft Azure).
• Understanding LLMs and Python-based agentic frameworks like LangChain or AutoGen.
• Strong understanding of data governance, security protocols, and MLOps practices in a cloud environment.
• Proven track record of designing and deploying scalable AI solutions that deliver measurable business value.
• Excellent communication, leadership, and analytical skills, with the ability to influence stakeholders at all levels.