About this role
Salary: £80,000 - 90,000 per year
Requirements
- Proven experience as an AI Solutions Architect or Enterprise Architect delivering AI/ML solutions at enterprise scale.
- Strong expertise in enterprise integration patterns, including APIs, microservices, event-driven architectures and cloud-native services.
- Experience with MLOps, model deployment and operationalising AI/ML models in production environments.
- Deep understanding of LLMs, generative AI, agentic AI and their application to real-world business use cases.
- Practical experience designing and implementing vector-based search and retrieval systems within AI solutions.
- Strong knowledge of security, compliance and governance in AI systems, including data privacy and responsible AI considerations.
- Ability to define target architectures, solution designs and reusable patterns that support scalability, maintainability and commercial impact.
- Proven track record of working with cross-functional teams to translate business requirements into technical AI solutions.
- Experience with LangChain, Semantic Kernel, Llama and related frameworks for building LLM-based applications is desirable.
- Familiarity with Model Context Protocol (MCP) and emerging standards for AI orchestration and context management is desirable.
- Experience designing and implementing RAG architectures in enterprise environments is desirable.
- Background in cloud platforms such as AWS, Azure or GCP and their AI/ML services is desirable.
- Exposure to knowledge management, knowledge graphs or advanced search systems integrated with AI solutions is desirable.
- Experience designing AI solutions for customer experience, contact centres or frontline operations is desirable.
- Previous involvement in building AI roadmaps or strategic AI initiatives within large organisations is desirable.
- A degree in Computer Science, Software Engineering, Data Science, Information Systems or a related technical discipline is ideal.
Responsibilities
- Architect end-to-end AI solutions across data, knowledge and process layers for internal business processes, reporting, frontline operations and customer experience.
- Design and deliver proof-of-concept AI solutions to validate target architectures, use cases and reusable patterns at enterprise scale.
- Define and document AI solution blueprints, including integration patterns for APIs, microservices, orchestration and cloud-native components.
- Lead the technical design of MLOps and model deployment pipelines, supporting reliable, secure and compliant operation of LLMs, agentic AI and generative AI services.
- Select and integrate appropriate AI frameworks and tools, including LangChain, Semantic Kernel, Llama, vector-based search and MCP, into the enterprise architecture.
- Design and implement RAG architectures, including data ingestion, vector stores and knowledge-layer orchestration.
- Ensure AI solutions meet security, governance and compliance requirements, including data protection, access controls and auditability.
- Collaborate with stakeholders across IT, data, security and business functions to refine use cases, align solutions with commercial objectives and transition proof-of-concepts towards production readiness.
Technologies
- Agentic AI
- AI
- AWS
- Architect
- Azure
- Cloud
- GCP
- Support
- LLM
- MCP
- MLOps
- RAG
- Security
- microservices
- Embedded
More
We are offering an Enterprise AI Solution Architect opportunity with a major organisation in the West Midlands. The role is hybrid, with weekly on-site work, and pays up to £90,000. It is an initial six-month fixed-term contract, with scope for extension and a permanent position. You will help shape the organisations enterprise AI roadmap and build secure, scalable capabilities that support long-term innovation.
last updated 43 week of 2026