Ai Architect

Hitachi Solutions; England; On-site; GBP 90,000 - 130,000; Full time

Job summary

Hitachi Solutions Europe Limited seeks an experienced AI Architect to lead designing secure, scalable AI solutions across enterprise and public sector programmes. You will shape end‑to‑end AI solutions from discovery to production, serving as a trusted advisor, defining architectures, guardrails and patterns within the Microsoft ecosystem.

You will oversee governance, security and Responsible AI by design, and work with delivery teams to ensure quality, scalability and business impact.

Qualifications

• Extensive AI and data solutions delivery in complex enterprise environments.
• Production‑grade AI solutions from discovery to live operations.
• Hands‑on with Microsoft cloud and AI ecosystem including Foundry.
• Experience integrating Power Platform in large scale deployments.
• Strong security, identity and compliance knowledge (Entra ID, RBAC).
• Expertise designing LLM‑based solutions with RAG and agent architectures.
• Proven consulting experience translating tech to business outcomes.
• Mentoring junior AI engineers or consultants.

Responsibilities

• Design end‑to‑end AI client architectures including Generative AI and agents.
• Define enterprise AI patterns, reference architectures, reusable blocks.
• Lead AI governance, security and Responsible AI by design.
• Provide architectural oversight for delivery teams.
• Support pre‑sales and discovery with technical estimates and roadmaps.
• Advise stakeholders on feasibility, risks and long‑term sustainability.
• Build reference implementations and accelerators to guide delivery.

Skills

AI architecture

LLM

MLOps

Cloud Azure

Security compliance

Leadership

Stakeholder mgmt

Data platforms

RAG

LangChain

Semantic Kernel

Education

Bachelor's degree in CS/Math

Microsoft AI certifications

Tools

Microsoft Foundry

Copilot Studio

Azure Cloud

API design

CI/CD pipelines

Job description

Job Description

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 public‑sector programmes. This role combines hands‑on technical expertise with strong architectural leadership, shaping end‑to‑end 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 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, ensuring solutions meet regulatory, ethical and organisational standards.
• Provide architectural oversight across delivery teams, ensuring quality and scalability.
• Support pre‑sales and discovery, shaping solution approaches and technical estimates and delivery roadmaps.
• Advise stakeholders on AI feasibility, trade‑offs, risks and long‑term 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 end‑to‑end, 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 LLM‑based solutions, including Retrieval‑Augmented Generation (RAG), prompt engineering strategies and agent‑based 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 cloud‑native architecture, including API‑based and event‑driven 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 LLM‑based 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, human‑in‑the‑loop 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 non‑technical 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 AZ‑305., 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.