AI Architect

About the role

Hitachi Solutions Europe is growing its consulting team and is looking for an experienced AI Architect to lead the design and delivery of secure, scalable and responsible AI solutions across enterprise and public-sector programmes. The role combines hands-on technical expertise with architectural leadership, acting as a trusted advisor to clients and internal teams from early discovery through to production delivery.

Key responsibilities

• Design and own end-to-end AI client-specific solution architectures, including Generative AI, Agents and traditional ML.
• Define and maintain enterprise AI architecture patterns, reference architectures and reusable building blocks within the Microsoft ecosystem.
• Lead AI governance, security and Responsible AI by design, meeting regulatory, ethical and organisational standards.
• Provide architectural oversight across delivery teams and support pre-sales and discovery, including technical estimates and delivery roadmaps.
• Advise stakeholders on AI feasibility, trade-offs, risks and long-term sustainability.
• Build prototypes, reference implementations and reusable accelerators.

Required profile

• Minimum of 5 years of hands-on AI delivery experience in complex enterprise environments, with proven production-grade AI solutions end-to-end.
• Proven consulting experience, able to turn complex technical concepts into clear business outcomes for non-technical stakeholders and senior leaders.
• Experience managing and mentoring junior AI engineers or consultants.
• At least two relevant Microsoft certifications (e.g. AI-901, AI-103, DP-800, AZ-305, AI-300) or actively working towards them.
• Eligibility for UK Security Clearance.

Required skills

• Microsoft cloud and AI ecosystem, including Microsoft Foundry, Power Platform and Copilot Studio.
• LLM-based solutions: RAG, prompt engineering, agent architectures (Semantic Kernel, LangChain, Microsoft Agent Framework).
• Classical machine learning and cloud-native, API and event-driven architectures.
• DevOps, MLOps and LLMOps, including CI/CD, observability and cost management.
• Generative AI governance, Responsible AI and cost evaluation.

What we offer

• Competitive compensation including bonuses, pension and benefits plans.
• Home-working option, with regular visits to the office or client sites.
• Career development programme with mentoring and training.