Technical Lead, AI

ClearRoute

full-time

Posted on: 9/18/2025

Origin: • 🇬🇧 United Kingdom

✨ AI Apply

Senior

AzureCloudETLITSMReactServiceNowVault

About the role

Own the technical delivery of a production enterprise AI agent platform for a large organisation
Lead 12-15 engineers across multiple teams and drive architectural decisions
Ship working agents to production within weeks
Navigate Azure's quirks whilst building on LangGraph/LangChain and manage model deployments
Demo to C-level execs and communicate risk to avoid hallucination or security concerns
Implement multi-agent orchestration using ReAct patterns and Model Context Protocol
Build RAG pipelines with hybrid search, vector indexing and semantic search
Integrate with enterprise systems (SharePoint, ServiceNow, Microsoft Teams/Entra ID) and implement zero-trust private endpoints
Set up observability, ETL pipelines, secrets management, rate limiting and security policies
Turn academic papers on agentic AI into production-grade working code

Lead 12-15 engineers across multiple teams
Built production LLM systems handling real workloads
Led distributed teams through technical ambiguity
Shipped when perfect wasn't possible (and can explain the trade-offs)
Deep Azure experience (Azure Container Apps, Azure AI Search, Cosmos DB, Azure API Management, Azure AI Foundry, Azure Functions, Azure Key Vault, Azure Application Insights, Azure Blob Storage)
Experience with LangGraph/LangChain and ReAct pattern orchestration
Knowledge of Model Context Protocol (MCP) for tool integration
Experience with LiteLLM/Portkey for model gateway routing
Experience building RAG pipelines with hybrid (vector + keyword) search
Experience with Langfuse or other LLM observability tools
Familiarity with multiple LLM providers (Azure OpenAI, Anthropic, open models)
Experience with enterprise integrations (SharePoint via Graph API, ServiceNow, Microsoft Teams/Entra ID, CIAM)
Experience with enterprise authentication (OAuth, SAML, JWT tokens)
Opinions on vector databases and ability to defend choices in architecture review
Comfort presenting to both engineers and C-level executives
Ability to turn academic papers on agentic AI into working code
Experience shipping production systems (not PoC)
Experience navigating Azure-specific constraints when building agent platforms