AI Platform Engineering Manager: Lead Scalable Agentic AI

Huxley Associates; Greater London; On-site; GBP 40,000 - 70,000; Full time

Job summary

Huxley Associates is seeking an AI Engineering Manager to lead the design and delivery of agentic AI strategy in a London/UK setting. You will steer scalable AI systems on Azure, drive modern AI patterns, and ensure secure, production-ready deployments across CI/CD pipelines.

You will mentor teams, foster an engineering culture of quality and accountability, and partner with safety/compliance to meet OWASP GenAI and NIST RMF standards.

Qualifications

• Five+ years in senior engineering roles with leadership experience.
• Hands-on Azure AI ecosystem experience, incl. Azure OpenAI, AI Foundry, Cognitive Services.
• Proven expertise building and scaling distributed, cloud-native systems (AKS, microservices, APIs).
• Experience with LLM design: RAG, prompts, orchestration frameworks.
• Proficiency in Python, PowerShell, REST APIs, and IaC.
• Understanding of CosmosDB, SQL, Redis, and event-driven architectures.
• Experience designing multi-agent or autonomous AI systems.
• Familiarity with real-time AI, voice, streaming, and event processing.
• Knowledge of AI evaluation, testing, red-teaming, and governance models.
• Security-conscious mindset with compliance awareness (OWASP GenAI, NIST RMF).

Responsibilities

• Support design and delivery of our agentic AI strategy.
• Lead scalable AI systems across Azure, including multi-agent orchestration and LLM apps.
• Own end-to-end engineering lifecycle for AI services.
• Drive adoption of RAG, agent orchestration, and event-driven workflows.
• Ensure production readiness via observability, resilience, and cost optimisation.
• Oversee multi-agent systems with Semantic Kernel and AI Foundry.
• Implement deterministic orchestration, context management, memory strategies.
• Foster innovation in AI workflows: voice AI, real-time inference, autonomous decisions.
• Ensure explainability and auditability across agent interactions.
• Embed secure-by-design across AI workloads; defend against prompt injection.
• Partner with AI Safety and Compliance to enforce OWASP GenAI, NIST RMF, ISO standards.
• Enforce model usage guardrails, data handling, and fairness checks.
• Maintain full audit trails and traceability of AI decisions.
• Lead engineering across Azure-native services: Azure OpenAI, AKS, API Management, CosmosDB, Service Bus.
• Drive containerised deployments with Kubernetes and strong isolation.
• Promote infrastructure-as-code with Bicep/Terraform and CI/CD pipelines.
• Optimize performance, latency, and cost across AI workloads.
• Build and scale high-performing AI engineering teams; mentor engineers.
• Establish engineering culture focused on quality and accountability.

Skills

Azure AI

AKS

LLM design

Python

PowerShell

REST APIs

IaC

Kubernetes

Event-driven

Stakeholder mgmt

Tools

Azure OpenAI

AI Foundry

Semantic Kernel

CosmosDB

Service Bus

Terraform

Job description

Huxley Associates is seeking an AI Engineering Manager to lead the design and delivery of agentic AI strategy in a London/UK setting. You will steer scalable AI systems on Azure, drive modern AI patterns, and ensure secure, production-ready deployments across CI/CD pipelines.

You will mentor teams, foster an engineering culture of quality and accountability, and partner with safety/compliance to meet OWASP GenAI and NIST RMF standards.