AI Architect

ClearRoute

. Work as part of the Azure platform foundations workstream supporting AI and agentic workstreams .

Posted 11/4/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Azure architecture, particularly in AI and agentic systems, with a strong focus on enterprise integration and governance. Capable of advising senior stakeholders and producing comprehensive architectural documentation while ensuring compliance with data residency and classification standards.

Highest-signal resume keywords

Azure ArchitectureEnterprise GenAI SystemsAI Governance and ControlsIntegration ArchitectureTechnical Stakeholder Engagement

ATS Keywords

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Hard Skills

Azure AI FoundryAzure OpenAIAPI ManagementMulti-Agent OrchestrationModel Context Protocol (MCP)Data ClassificationEvent-Driven PatternsIdentity PropagationPythonAgent Frameworks

Soft Skills

Constructive ChallengeExecutive Presentation

Tools & Technologies

Azure MonitorApp InsightsLangfuseArizeWorkdayServiceNow

Certifications & Qualifications

Azure Solutions Architect ExpertAzure AI Engineer

Industry Keywords

EnergyUtilitiesCritical National InfrastructureRegulated Public-SectorClient-Facing Delivery

Tech Stack

Tools & technologies

AzurePythonServiceNow

About the role

Key responsibilities & impact

Work as part of the Azure platform foundations workstream supporting AI and agentic workstreams
Stand up and harden shared Azure platform capabilities including identity, networking, CI/CD, observability, and environment management
Own the target architecture for an enterprise AI platform already in production
Architect the Azure-hosted model gateway, custom orchestration harness, MCP servers, sub-agents, and production path for agents
Set architectural direction for a governed model access route used by internal assistants, Microsoft 365 tooling, and potential third-party clients
Design integration patterns for HR, service management, and client data-platform systems
Build data classification and UK/EU data-residency controls into integrations
Act as technical authority for the client's AI Centre of Excellence
Produce and maintain platform architecture, decision records, and roadmap
Define path-to-production standards for agents, including environments, evaluation gates, observability, cost controls, and release processes
Design agent gateway and integration architecture for HR and subsequent enterprise systems
Set security, Entra identity, data-classification, and residency controls with architecture and security functions
Review solution designs, unblock delivery, and maintain platform patterns
Advise senior client stakeholders up to CIO level on platform choices and build-versus-buy trade-offs
Hand over architecture and patterns to the permanent in-house team

Requirements

What you’ll need

Azure is mandatory
Hands-on 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 experience architecting enterprise GenAI and agentic systems in production, including RAG, tool use, multi-agent orchestration, and Model Context Protocol (MCP)
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
Ability to act as senior technical voice, write architecture decisions, present to executive stakeholders, and challenge constructively
Available to start within three weeks
UK-based
Occasional travel to client sites
Understanding of Python and agent frameworks including Semantic Kernel, LangGraph, and Foundry Agent Service
Desirable: energy/utilities or critical national infrastructure/regulated public-sector experience
Desirable: Workday or ServiceNow integration
Desirable: LLM evaluation and observability tooling, including Azure Monitor / App Insights, Langfuse, and Arize
Desirable: secure AI deployment patterns including private endpoints and customer-managed keys
Desirable: Azure Solutions Architect Expert or Azure AI Engineer certification
Desirable: consultancy/client-facing delivery experience, ideally inheriting a live platform mid-flight

Benefits

Comp & perks

Genuine hybrid working
Home office budget
Time off when life needs it, including birthday leave
Profit share
Meaningful recognition for great work
Private healthcare
Confidential employee assistance program covering counselling, mental health support, and financial wellbeing
Interest-based communities including running and book clubs
Women in Tech group
Monthly socials
Cross-regional events
Learning budgets
Udemy access
Clear career framework
Internal mobility
Thought leadership opportunities
Family-friendly working environment
Flexibility for caring responsibilities
Interview process accommodations