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SAP Technology Architect & AI Senior Manager (London) @ KPMG UK LLP

LondonOnsiteFull-time
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<p><strong><u>SAP Technology Architect &amp; AI Senior Manager</u></strong></p> <p>We are seeking talented individuals with deep design and implementation experience in transforming our clients’ business towards a digital enterprise using SAP S/4HANA powered by BTP solutions. This is a high-profile role within the team, requiring strong client delivery skills, whilst supporting business development opportunities to grow the practice.</p> <p>The successful candidate will be able to:</p> <ul type="disc"> <li>Evaluate and implement the right SAP BTP cloud and Generative AI services to deliver modern, scalable, and intelligent cloud-based solutions for clients.</li> <li>Demonstrate depth across all SAP BTP pillars—Extensibility, Integration, Data, Automation, and AI—designing architectures that leverage GenAI, AI Core, and Joule capabilities across complex enterprise landscapes.</li> <li>Plan and facilitate design-thinking and AI ideation workshops to identify cloud, GenAI, and modern UI use cases that deliver tangible business value.</li> <li>Help clients define future-ready technology roadmaps and target architectures, incorporating user-centric, AI-led, and GenAI-powered innovations on SAP BTP.</li> <li>Solve complex issues in Application Development &amp; Integration using services like SAP Build, SAP Integration Suite etc.</li> <li>Advise clients on intelligent automation and AI adoption, including Generative AI, RPA, Machine Learning, and Agent-based solutions, aligned to SAP’s Business AI strategy.</li> <li>Capable of supporting business development and sales initiatives including bid and proposal support in SAP Cloud Platform &amp; Technology services</li> </ul> <p><span style="text-decoration:underline"><strong>The Person</strong></span></p> <ul type="disc"> <li>Demonstrable experience delivering end‑to‑end SAP S/4HANA Cloud transformation programmes within a consulting environment, including complex, multi‑system landscapes.</li> <li>Strong knowledge of SAP S/4HANA technology architecture across the full stack, including application development, integration, security, infrastructure, SAP BTP, and AI / Generative AI best practices.</li> <li>Proven SAP Technology Architecture leadership, including designing architectures, leading technical delivery teams, and deploying solutions; at least two full S/4HANA lifecycle implementations preferred.</li> <li>Experience producing high‑quality architecture artefacts such as Architecture Blueprints, Integration Architecture Diagrams, Extensibility Strategies, and AI / GenAI solution designs.</li> <li>Hands‑on experience architecting and delivering at least one enterprise‑grade AI or Generative AI solution on SAP BTP (beyond proof‑of‑concept), with demonstrated scalability, security, and operational readiness.</li> <li>Practical experience with SAP HANA Cloud, SAP AI Core, and Generative AI architectures, including RAG (Retrieval Augmented Generation) frameworks, vector embeddings, and knowledge graph–based approaches.</li> <li>Ability to design scalable AI solutions on SAP BTP that integrate seamlessly with existing SAP and non‑SAP landscapes, including S/4HANA, ECC, SuccessFactors, and external systems.</li> <li>Experience advising clients on intelligent technologies, including Generative AI, Machine Learning, RPA, and agent‑based architectures, aligned to SAP’s Business AI and Joule strategy.</li> <li>Demonstrable experience in leading and supporting pre‑sales activities, including RFP responses, solution shaping, demos, and senior client engagements, particularly for SAP BTP and AI‑led propositions.</li> <li>Strong analytical skills with the ability to simplify complex problems, translate business needs into technology architectures, and make pragmatic design decisions.</li> <li>Experience in facilitating design, architecture, and AI ideation workshops, and translating outcomes into actionable solution designs and delivery plans.</li> <li>Ability to build trusted client relationships through subject‑matter expertise, thought leadership, and consistent quality of delivery.</li> <li>Proven capability to collaborate effectively across multidisciplinary teams, including functional, data, integration, AI, and cloud engineering teams.</li> <li>Self‑starter mindset with the ability to operate effectively in ambiguous, evolving environments, particularly in emerging areas such as Generative AI and intelligent enterprise solutions.</li> </ul> <p>#LI-AR1</p>

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