AI Architect (Contract)
Posted 2 weeks ago by Jobserve
Negotiable
Inside
Hybrid
London, Manchester, Bristol, Leeds, Edinburgh
Summary: The role of AI Architect involves designing and delivering scalable, secure, and enterprise-grade AI solutions. The architect will define the architecture, guide delivery teams, and drive AI innovation across complex transformation programmes. This position requires extensive experience in AI architecture and a strong understanding of various AI frameworks and tools. The role is hybrid, requiring two days on-site work per week in specified UK cities.
Key Responsibilities:
- Define AI architecture vision, standards, and roadmaps
- Design end-to-end AI solutions (data, models, deployment, monitoring)
- Build API-first, event-driven, and microservices-based integrations
- Implement MLOps/LLMOps pipelines (CI/CD, governance, versioning)
- Ensure security (IAM, zero trust) and system observability
- Select appropriate AI/ML frameworks, tools, and cloud services
Key Skills:
- Experience with agentic AI architectures and multi-agent systems
- Strong knowledge of LLMs, RAG, embeddings, and prompt engineering
- Hands-on with orchestration frameworks (eg, LangGraph, MCP)
- Experience integrating AI into enterprise systems (APIs, data pipelines)
- Understanding of AI quality metrics and model governance
- Cloud experience (GCP preferred or similar)
Salary (Rate): £550/day
City: London, Manchester, Bristol, Leeds, Edinburgh
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Location: London, Manchester, Bristol, Leeds, Edinburgh (Hybrid - 2 days onsite)
Rate: £550/day
Duration: 6 months
Overview
We are looking for an experienced AI Architect to design and deliver scalable, secure, and enterprise-grade AI solutions. You will define architecture, guide delivery teams, and drive AI innovation across complex transformation programmes.
Key Responsibilities
- Define AI architecture vision, standards, and roadmaps
- Design end-to-end AI solutions (data, models, deployment, monitoring)
- Build API-first, event-driven, and microservices-based integrations
- Implement MLOps/LLMOps pipelines (CI/CD, governance, versioning)
- Ensure security (IAM, zero trust) and system observability
- Select appropriate AI/ML frameworks, tools, and cloud services
Essential Skills (7+ years)
- Experience with agentic AI architectures and multi-agent systems
- Strong knowledge of LLMs, RAG, embeddings, and prompt engineering
- Hands-on with orchestration frameworks (eg, LangGraph, MCP)
- Experience integrating AI into enterprise systems (APIs, data pipelines)
- Understanding of AI quality metrics and model governance
- Cloud experience (GCP preferred or similar)
Desirable
- MLOps/AgentOps experience
- Financial services or regulated environment experience
- Knowledge of AI risk, governance, and compliance