Lead Agentic AI Architect

Purview is a global leader in IT-Engineering and Talent Solutions, trusted by Fortune 500 and mid-market clients across 21+ countries. Headquartered in Edinburgh, with delivery center's in India, our 1,200+ professionals drive meaningful digital transformation worldwide. As a certified Ethnic Minority Business and Premier Member of MSDUK, we proudly blend diversity with deep technical expertise to deliver results that matter. Role: Agentic AI Architect Location: Birmingham/London/Sheffield – Hybrid (3 days per Weekly Work from Office Location) Job Type: Hybrid work mode (3 days per week On-Site) :: Role Summary We are seeking a highly experienced Lead Agentic AI Architect to lead the design, architecture, and delivery of enterprise-scale Agentic AI and Generative AI solutions. The successful candidate will define AI architecture standards, drive innovation, and build intelligent autonomous systems that deliver measurable business outcomes across complex and regulated environments. This is a strategic and hands-on leadership role requiring deep expertise in LLMs, Agentic AI, RAG architectures, AI governance, cloud platforms, and large-scale engineering delivery. Key Responsibilities

• Define and own the enterprise architecture for Agentic AI platforms, AI assistants, copilots, and autonomous workflows.
• Design and implement multi-agent systems leveraging reasoning, planning, memory, orchestration, and tool integration.
• Architect production-grade GenAI solutions including RAG, intelligent search, knowledge assistants, workflow automation, and decision-support systems.
• Establish AI engineering standards covering LLMOps, MLOps, platform governance, observability, security, and responsible AI.
• Lead technology selection across LLMs, orchestration frameworks, vector databases, and cloud AI platforms.
• Drive enterprise adoption of AI while ensuring scalability, security, compliance, and commercial viability.
• Provide technical leadership to architects, engineers, data scientists, and senior business stakeholders.
• Partner with executive leadership to define AI strategy, roadmaps, investment priorities, and innovation opportunities. Required Experience
• 15+ years of software engineering, architecture, and platform leadership experience.
• 8+ years delivering AI/ML platforms in production environments.
• Proven experience architecting and deploying Agentic AI, LLM, and Generative AI solutions at scale.
• Strong background in Financial Services, Banking, Insurance, Healthcare, or other regulated industries.
• Demonstrated experience leading large engineering teams and complex transformation programmes.
• Track record of delivering enterprise AI platforms from strategy through implementation and operationalisation. Technical Skills Agentic AI & GenAI
• Multi-Agent Systems
• Agentic AI Architecture
• Retrieval Augmented Generation (RAG)
• LLM Application Design
• Prompt Engineering
• Responsible AI
• AI Evaluation Frameworks
• LangChain, LangGraph, Semantic Kernel, AutoGen Cloud & AI Platforms
• Azure AI Foundry / Azure OpenAI
• AWS Bedrock & SageMaker
• Google Vertex AI
• Hybrid and Multi-Cloud Architectures Engineering & Platform
• Python, Java, Scala, TypeScript, SQL
• Kubernetes, Docker
• Terraform, Bicep
• CI/CD and Infrastructure as Code
• GitHub Actions, GitLab, Jenkins AI Governance & Observability
• LLMOps & MLOps
• Model Governance
• AI Security & Guardrails
• LangSmith
• Arize