AI Architect
ClearRoute6 days ago
London, United KingdomSenior
Responsibilities
- Own the target architecture, architecture decision records, roadmap, and reusable reference architectures for the enterprise AI platform.
- Establish Azure platform foundations covering identity, networking, CI/CD, observability, and environment management.
- Define the production standard for agents, including environments, evaluation gates, monitoring, cost controls, and release processes.
- Design the model gateway and integration architecture for HR, service management, and other enterprise systems of record.
- Set security, identity, data classification, data residency, auditability, and governance controls with client architecture and security teams.
- Review solution designs from product, labs, and forward-deployed engineering teams and ensure alignment with platform patterns.
- Advise senior client stakeholders, including CIO-level stakeholders, on platform choices, trade-offs, and build-versus-buy decisions.
- Transfer architecture, patterns, and operational knowledge to the permanent in-house team.
Requirements
- Hands-on Azure architecture experience with Azure AI Foundry, Azure OpenAI, API Management as a model gateway, Azure AI Search, Entra ID, and core landing-zone services.
- Proven production experience architecting enterprise GenAI and agentic systems involving RAG, tool use, multi-agent orchestration, and Model Context Protocol.
- Strong enterprise integration architecture experience with APIs, event-driven patterns, identity propagation, and SaaS systems of record.
- Strong understanding of AI governance and controls in regulated environments, including data classification, residency, auditability, evaluation, and monitoring.
- Understanding of Python and agent frameworks such as Semantic Kernel, LangGraph, and Foundry Agent Service.
- Ability to act as a senior technical authority, write clear architecture decisions, present to executive stakeholders, and challenge constructively.
- UK-based and available to start within three weeks, with occasional travel to client sites.
- Experience in energy, utilities, critical national infrastructure, or regulated public-sector environments is desirable.
- Workday or ServiceNow integration experience is desirable.
- Experience with LLM evaluation and observability tooling such as Azure Monitor, App Insights, Langfuse, or Arize is desirable.
- Experience with secure AI deployment patterns, private endpoints, customer-managed keys, and UK South or EU hosting is desirable.
- Azure Solutions Architect Expert or Azure AI Engineer certification is desirable.
- Consultancy or client-facing delivery experience, ideally including inheriting a live platform mid-flight, is desirable.
Benefits
- Genuine hybrid working and a home office budget.
- Profit share, meaningful recognition, private healthcare, salary benchmarking, and an employee assistance program covering counselling, mental health support, and financial wellbeing.
- Birthday time off, flexible working support, and a family-friendly environment.
- Interest-based communities, monthly socials, and cross-regional events.
- Learning budgets, Udemy access, a clear career framework, internal mobility, and thought-leadership opportunities.
- UK-based role with occasional travel to client sites.
About ClearRoute
ClearRoute is a London‑headquartered platform engineering consultancy that helps enterprises improve software delivery across cloud platforms, quality engineering, and developer experience. Founded in 2022, it provides advisory and hands‑on engineering services, applying its QCE framework to streamline routes to production and manage security, compliance, and scalability in complex, regulated, multi‑vendor environments.