AI Architect - Consultancy

Hamilton Barnes
Edinburgh, United Kingdom
1 month ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 143K

Job location

Edinburgh, United Kingdom

Tech stack

API
Artificial Intelligence
Cloud Computing
Continuous Integration
Monitoring of Systems
Identity and Access Management
Cloud Services
TensorFlow
Zero Trust Network Access
Management of Software Versions
Enterprise Software Applications
Large Language Models
Multi-Agent Systems
Prompt Engineering
IT Architecture
Kubernetes
Machine Learning Operations
Virtual Agents
Api Design
Data Pipelines
Microservices

Job description

Join one of the world's leading IT services, consulting, and business solutions organization. Founded in 1968, the company consistently ranks among the top global IT service providers. With a presence in over 50 countries, the company has built a reputation for delivering high-quality technology services across industries including banking, healthcare, telecommunications, and retail. Ready to make a move? Get in touch and apply today!, * 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

Requirements

  • 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

Apply for this position