SAP BTP Technical Architect (AI / Joule)

Job Title: SAP BTP Technical Architect (Joule & AI Agents)
Location: London, UK (Hybrid) – Onsite 2-3 days per week (MUST BE LIVING IN THE UK)
Contract Length: 12 Months
Start Date: 6th April 2026
IR35 Status: Inside IR35

SAP Technology Architect & AI Senior Manager

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.

The successful candidate will be able to:

• Evaluate and implement the right SAP BTP cloud and Generative AI services to deliver modern, scalable, and intelligent cloud-based solutions for clients.
• 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.
• Plan and facilitate design-thinking and AI ideation workshops to identify cloud, GenAI, and modern UI use cases that deliver tangible business value.
• Help clients define future-ready technology roadmaps and target architectures, incorporating user-centric, AI-led, and GenAI-powered innovations on SAP BTP.
• Solve complex issues in Application Development & Integration using services like SAP Build, SAP Integration Suite etc.
• 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.
• Capable of supporting business development and sales initiatives including bid and proposal support in SAP Cloud Platform & Technology services

The Person

• Demonstrable experience delivering end‑to‑end SAP S/4HANA Cloud transformation programmes within a consulting environment, including complex, multi‑system landscapes.
• 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.
• Proven SAP Technology Architecture leadership, including designing architectures, leading technical delivery teams, and deploying solutions; at least two full S/4HANA lifecycle implementations preferred.
• Experience producing high‑quality architecture artefacts such as Architecture Blueprints, Integration Architecture Diagrams, Extensibility Strategies, and AI / GenAI solution designs.
• 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.
• 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.
• 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.
• 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.
• 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.
• Strong analytical skills with the ability to simplify complex problems, translate business needs into technology architectures, and make pragmatic design decisions.
• Experience in facilitating design, architecture, and AI ideation workshops, and translating outcomes into actionable solution designs and delivery plans.
• Ability to build trusted client relationships through subject‑matter expertise, thought leadership, and consistent quality of delivery.
• Proven capability to collaborate effectively across multidisciplinary teams, including functional, data, integration, AI, and cloud engineering teams.
• 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.