At a Glance
- Tasks: Lead the design and implementation of innovative AI solutions for major brands.
- Company: Join a global leader in digital transformation and IT services.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Work with cutting-edge technologies in a dynamic, collaborative environment.
- Why this job: Shape the future of AI while making a meaningful impact on communities.
- Qualifications: 10+ years in IT, with expertise in Enterprise Architecture and AI/ML.
The predicted salary is between 36000 - 60000 £ per year.
Position: Enterprise Architect - Agentic AI, Generative AI, Microsoft Azure
Employment Type: Permanent
Start: ASAP (November/December 2025)
Location: Remote (must be UK based)
Language(s): English
Focus on SAP is a specialist SAP and ERP Recruitment organisation offering both permanent and contract staffing solutions on a global scale.
Client – Partnered with a global leader in digital transformation and IT services, working with some of the world’s biggest brands. Their mission is not only to deliver cutting-edge technology but also to empower organisations to create meaningful impact for the people and communities they serve. For you, this means working on challenging projects that demand innovation, collaboration, and thought leadership.
Role – We are seeking a visionary Enterprise Architect – Agentic AI to lead the design, architecture, and implementation of enterprise-wide autonomous AI and Generative AI solutions. This is a strategic role working at C-suite level to shape the AI roadmap, ensuring solutions are scalable, secure, ethically governed, and fully aligned to business transformation goals. You will define the future of agentic AI within the enterprise, working across architecture, AI engineering, data, security, and business domains to introduce next-generation AI capabilities that deliver measurable impact.
Key Responsibilities:
- AI Strategy & Roadmap: Own the enterprise architecture vision for Generative AI and Agentic AI, defining the strategic roadmap and aligning it to business and digital transformation objectives.
- Architecture, Design & Governance: Design secure, scalable, cloud-native architectures for autonomous and multi-agent AI systems. Define AI governance, design principles, lifecycle management, observability and interoperability standards. Ensure seamless integration of AI systems with core enterprise platforms (e.g., ERP, CRM, Data & Analytics).
- Technology Leadership & Delivery Oversight: Evaluate and select AI engineering frameworks (e.g., LangChain, AutoGen) and platform components within Azure (Azure OpenAI, Azure AI Studio/Foundry, Databricks). Lead architecture across the full delivery lifecycle, supporting engineering teams through build, deployment, testing and productionisation using AIOps and LLMOps best practices.
- Data, Integration & Readiness: Partner with Data Engineering teams to ensure robust data pipelines and contextual data foundations for AI agents. Oversee the design of enterprise-grade data, integration and MLOps patterns to support scalable AI workloads.
- Security, Ethics & Risk Management: Embed Ethical AI, security-by-design, privacy, and regulatory compliance across all AI architectures. Define risk controls, safe-use policies and human-in-the-loop governance for autonomous agents.
- Stakeholder Engagement & Change Leadership: Partner with C-level, Business, Product, Data Science and Engineering leaders to identify high-value AI use cases and ensure adoption. Lead organisational change, operating model evolution, and education programmes to drive AI maturity.
- Innovation & R&D: Continuously scan market trends, emerging technologies and research in Agentic AI, LLMs and enterprise AI patterns. Introduce forward-thinking AI capabilities and identify new business-value opportunities.
Key Skills:
- 10+ years in IT, including 5+ years in Enterprise Architecture and 3+ years in AI/ML
- Hands-on expertise designing agentic or multi-agent AI systems and Generative AI solutions
- Strong knowledge of Azure cloud-native architecture
- Practical experience with Python-based agent frameworks (e.g., LangChain, AutoGen)
- Deep knowledge of AI governance, data security, MLOps/LLMOps
- Strong stakeholder engagement skills, with the ability to influence at C-suite level
- Proven track record of delivering scalable AI solutions with measurable business value
If you are interested or would like to know more, please email jonathan.la@focusonsap.org with your CV and availability to speak. Applicants must be a UK resident and hold a valid right to work status.
Enterprise Architect - Agentic AI, Generative AI, Microsoft Azure in Basingstoke employer: Focus on SAP
As a leading partner in digital transformation, our company offers an exceptional work environment that fosters innovation and collaboration. With a focus on empowering employees through meaningful projects and strategic leadership roles, we provide ample opportunities for professional growth and development. Our remote working model ensures flexibility while being part of a dynamic team that is shaping the future of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Architect - Agentic AI, Generative AI, Microsoft Azure in Basingstoke
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio or a personal project that showcases your expertise in AI and architecture. This gives potential employers a tangible sense of what you can bring to the table.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Think about how your skills align with the company’s mission and be ready to discuss how you can contribute to their AI roadmap. Confidence is key!
✨Apply Through Our Website
We’ve got your back! Make sure to apply through our website for the best chance at landing that dream job. It’s the easiest way for us to see your application and get you in front of the right people.
We think you need these skills to ace Enterprise Architect - Agentic AI, Generative AI, Microsoft Azure in Basingstoke
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Enterprise Architect role. Highlight your experience with AI, Azure, and any relevant projects that showcase your skills in designing scalable solutions. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about Agentic AI and how your background aligns with our mission. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Achievements:When detailing your experience, focus on specific achievements rather than just responsibilities. Use metrics where possible to demonstrate the impact of your work. We’re all about measurable results, so let us know what you've accomplished!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at Focus on SAP
✨Know Your AI Stuff
Make sure you brush up on the latest trends in Agentic AI and Generative AI. Be ready to discuss specific frameworks like LangChain and AutoGen, and how they fit into Azure's ecosystem. This shows you're not just familiar with the tech but also passionate about it.
✨Showcase Your Strategic Vision
Prepare to articulate your vision for enterprise architecture in the context of AI. Think about how you would align AI strategies with business transformation goals. This is a strategic role, so demonstrating your ability to think at a C-suite level will set you apart.
✨Engage with Stakeholders
Be ready to discuss how you've successfully engaged with C-level executives and other stakeholders in the past. Share examples of how you've identified high-value AI use cases and led change initiatives. This will highlight your leadership skills and ability to drive AI maturity.
✨Emphasise Security and Ethics
Given the focus on ethical AI and security-by-design, prepare to discuss how you've implemented these principles in previous projects. Talk about risk management and governance frameworks you've developed or worked with, as this is crucial for the role.
