AI Architect

We are growing our consulting team and looking for an experienced AI Architect to lead the design and delivery of secure scalable and responsible AI solutions across enterprise and publicsector programmes. This role combines handson technical expertise with strong architectural leadership shaping endtoend AI solutions from early discovery through to production delivery and scale.

You will act as a trusted advisor to clients and internal teams defining AI architectures setting standards and guardrails and ensuring AI is applied where it delivers real business value.

Key Responsibilities

• Design and own endtoend 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 ensuring solutions meet regulatory ethical and organisational standards.
• Provide architectural oversight across delivery teams ensuring quality and scalability.
• Support presales and discovery shaping solution approaches and technical estimates and delivery roadmaps.
• Advise stakeholders on AI feasibility tradeoffs risks and longterm sustainability.
• Build hands-on prototypes reference implementations and reusable accelerators to remain close enough to the code to set credible technical direction and unblock delivery teams.

Qualifications :

Required Skills & Experience

• Significant overall experience delivering AI and Data solutions in complex enterprise environments with a minimum of 5 years hands-on AI delivery experience.
• Proven experience delivering production-grade AI solutions endtoend from discovery through to live operations and ongoing model management.
• Hands-on expertise across Microsoft cloud and AI ecosystem including Microsoft Foundry and data platform.
• Strong experience with integrating low-code Power Platform solutions into enterprise-scale solutions including hands-on experience with Copilot Studio.
• Solid understanding of Microsoft security identity and compliance (Entra ID RBAC network isolation data protection).
• Strong experience designing LLMbased solutions including RetrievalAugmented Generation (RAG) prompt engineering strategies and agentbased architectures leveraging frameworks such as Semantic Kernel LangChain and Microsoft Agent Framework.
• Deep practical experience with classical Machine Learning including supervised and unsupervised learning feature engineering model selection training pipelines evaluation frameworks and production lifecycle management equivalent in depth to GenAI expertise.
• Proven ability to assess client use cases and make well-reasoned architectural decisions between classical ML and Generative AI approaches; and articulate clearly why.
• Strong experience in cloudnative architecture including APIbased and eventdriven designs enterprise integration patterns and architectures focused on scalability resilience and reliability.
• Experience with DevOps MLOps and LLMOps practices including CI/CD pipelines automated testing environment strategies and operating LLMbased solutions in production with a strong focus on model and prompt lifecycle management observability and evaluation reliability and cost management.
• Strong understanding of Generative AI governance operational controls and cost evaluation including monitoring usage performance and designing solutions that are supportable auditable and sustainable at scale.
• Strong experience embedding Responsible AI and governance into Generative AI solutions covering safety risk management transparency explainability humanintheloop design and regulatory alignment.
• Desirable experience in integrating enterprise data platforms with AI solutions including familiarity with Lakehouse architectures and data engineering principles.
• Proven experience in a consulting role with the ability to translate complex technical concepts into clear business outcomes effectively engaging nontechnical stakeholders and senior leaders.
• Good experience of managing and mentoring junior AI engineers or consultants.
• Must hold at least two relevant Microsoft certifications (AI-901 AI-103 DP-800 AZ305. AI-300)or be actively working towards them.

Candidates must hold or be eligible for UK Security Clearance. 

Additional Information :

In applying for a role with Hitachi Solutions Europe Limited and/or its affiliates (Hitachi) you consent to Hitachi collecting and storing your personal information (including your name job title and email address) in relation to this role and any others that may be suitable in the future.  For more information please refer to our Privacy
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Our recruiting team may communicate with candidates via our @ domain email address and/or via our SmartRecruiters (Applicant Tracking System) domain email address regarding your application and interview requests.  

All offers will originate from our @ domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain it may not be legitimate.

Remote Work :

No

Employment Type :

Full-time