AI - Led Operational Technology Architect

Role Title: AI-Led Operational Technology Architect Location: UK (With expected travel) Salary: Competitive salary and package dependent on experience Career Level: Associate Manager Role Overview The AI-Led OT Architect helps clients transform operational technology (OT) environments through the application of artificial intelligence, industrial data platforms, and digital engineering. The role sits at the intersection of OT, IT, and AI, designing architectures that connect industrial assets, control systems, and enterprise platforms to enable predictive, autonomous, and data-driven operations. This is a client facing consulting role combining solution architecture, delivery leadership, business development support, and innovation. You will work with asset intensive industries including mainly in utilities, helping clients unlock value from AI-enabled operations, industrial digital twins, predictive maintenance, operational optimization, and intelligent automation. Drawing on expertise in OT systems, industrial data architectures, cloud platforms, and AI technologies, you will shape client strategies, lead engagements, develop propositions, and accelerate adoption of Industrial AI solutions. What You Will Do Lead Industrial AI and OT Transformation Programmes Define and deliver AI-enabled OT architectures that connect operational technology environments with enterprise systems, cloud platforms, and advanced analytics capabilities. Support clients in transforming traditional operations into intelligent, connected enterprises. Architect solutions integrating: SCADA platforms Distributed Control Systems (DCS) PLC and RTU environments Historian platforms (OSI PI, Canary, etc.) IoT and edge computing platforms Enterprise Asset Management solutions (SAP PM, S/4HANA, IBM Maximo, IFS) Data platforms including Azure, AWS, Databricks, and Microsoft Fabric Deliver AI-Powered Operational Use Cases Lead the design and implementation of solutions for: Predictive maintenance Asset performance management Anomaly detection Failure prediction Root cause analysis Energy optimization Production optimization Digital worker capabilities Intelligent alarm management Autonomous operations Establish frameworks for: Data governance Data quality Asset hierarchies Metadata management Industrial data models AI model lifecycle management Responsible AI in industrial environments Support sales and growth activities by: Shaping opportunities Developing proposals Leading client workshops Conducting assessments Creating solution demonstrations Building Accenture points of view on Industrial AI and OT transformation What's In It For You At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services, we are known for. Closing Date for Applications: 30/11/2026 Accenture reserves the right to close the role prior to this date should a suitable applicant be found. We are looking for experience in the following skills: Strong experience across OT and industrial systems, including: SCADA platforms DCS platforms PLC environments Industrial communications protocols (OPC UA, MQTT, Modbus, IEC 61850) Historian platforms such as OSI PI Industrial IoT architectures Edge computing solutions Knowledge of industrial AI technologies including: Machine learning Predictive analytics Time-series analytics Anomaly detection Computer vision Generative AI Industrial copilots Digital twins Hands-on experience with one or more of: Microsoft Azure AWS Google Cloud Databricks Microsoft Fabric Snowflake Experience mainly in utilities and other asset intensive industries: Utilities Water Energy Oil and Gas Mining Manufacturing Chemicals Infrastructure Demonstrated ability to: Lead client engagements Manage stakeholders Shape opportunities Develop proposals Deliver presentations to executive audiences Manage workstreams and small teams