Azure AI Solution Architect - Global Microsoft Partner

We’re 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.

You’ll combine hands-on technical expertise with architectural leadership, shaping solutions from discovery through to production. Acting as a trusted advisor, you’ll set technical direction, establish governance and ensure AI delivers measurable business value., * Design end-to-end architectures across Generative AI, AI agents and traditional machine learning.

• Define reusable AI patterns, reference architectures and standards within the Microsoft ecosystem.
• Embed security, governance and Responsible AI into solution design.
• Provide architectural oversight across delivery teams.
• Support discovery and pre-sales, including solution approaches, estimates and roadmaps.
• Advise stakeholders on feasibility, trade-offs, risks, costs and sustainability.
• Build prototypes, reference implementations and reusable accelerators.
• Mentor junior AI engineers and consultants.

• Enterprise AI and data experience, including at least five years of hands-on AI delivery.
• Proven delivery of production-grade AI solutions from discovery through to live operations.
• Strong Microsoft cloud and AI expertise, including Microsoft Foundry, Power Platform and Copilot Studio.
• Knowledge of Entra ID, RBAC, network isolation and data protection.
• Experience designing RAG, prompt-engineering and agent-based solutions using frameworks such as Semantic Kernel, LangChain or Microsoft Agent Framework.
• Strong classical machine-learning expertise, including feature engineering, training, evaluation and lifecycle management.
• Ability to select and clearly justify classical ML or Generative AI approaches for different use cases.
• Experience with cloud-native, API-based and event-driven architectures.
• Knowledge of DevOps, MLOps and LLMOps, including CI/CD, testing, observability, evaluation and cost management.
• Strong understanding of Responsible AI, governance, safety and regulatory requirements.
• Consulting experience with strong stakeholder communication and mentoring skills.
• Familiarity with Lakehouse architectures and data-engineering principles is desirable.
• At least two relevant Microsoft certifications or active progress towards them, such as AI-901, AI-103, DP-800, AZ-305 or AI-300.

You don’t need to meet every requirement. We’re particularly interested in candidates who combine strong architectural judgement with practical AI delivery experience.

• Leadership of enterprise-scale AI programmes.
• Hands-on work across Generative AI, agents and traditional machine learning.
• Exposure to secure public-sector and regulated environments.
• The opportunity to shape AI standards, governance and reusable solutions.
• A collaborative consulting environment with mentoring and career-development opportunities.
• Candidates must have the ongoing right to work in the United Kingdom without requiring visa sponsorship now or in the future.