AI Engineering Manager, London / GlasgowAI Platform Engineering & DeliverySupport with the design and drive the delivery of the agentic AI strategy.Lead the design and delivery of scalable AI systems across Azure, including multi-agent orchestration platforms and LLM-powered applications.Own end-to-end engineering lifecycle: architecture, build, deployment, and optimisation of AI services.Drive adoption of modern AI patterns including RAG, agent orchestration, and event-driven workflows.Ensure production readiness through observability, resilience engineering, and cost optimisation.Agentic AI & OrchestrationOversee development of multi-agent systems using frameworks such as Semantic Kernel and AI Foundry.Implement deterministic orchestration patterns, context management, and memory strategies.Drive innovation in AI workflows including voice AI, real-time inference, and autonomous decisioning systems.Ensure explainability and auditability across agent interactions.AI Security, Safety & GovernanceEmbed secure-by-design principles across all AI workloads, including prompt injection defence and data protection.Partner with AI Safety and Compliance teams to enforce standards aligned to OWASP GenAI, NIST AI RMF, and ISO/IEC 42001.Implement guardrails for model usage, data handling, and fairness/bias mitigation.Ensure full audit trails and traceability of AI decisions.Cloud & Infrastructure EngineeringLead engineering across Azure-native services including Azure OpenAI, AKS, API Management, CosmosDB, and Service Bus.Ensure scalable, containerised deployments using Kubernetes with strong isolation and security practices.Drive infrastructure-as-code adoption (Bicep/Terraform) and CI/CD automation pipelines.Optimise performance, latency, and cost efficiency across AI workloads.Leadership & Team DevelopmentBuild, lead, and scale high-performing AI engineering teams.Provide technical mentorship, career development, and engineering standards.Establish a strong engineering culture focused on quality, accountability, and continuous improvement.Act as a senior escalation point for complex technical challenges.Stakeholder Engagement & StrategyTranslate business problems into AI-driven solutions aligned to organisational strategy.Collaborate with product, data, and leadership teams to prioritise and deliver high-impact initiatives.Contribute to AI roadmap, investment planning, and capability maturity.Communicate progress, risks, and outcomes to senior stakeholders.Skills / Experience Required:5+ years in senior engineering roles, with experience leading technical teams.Strong hands-on experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services).Proven expertise in building and scaling distributed, cloud-native systems (AKS, microservices, APIs).Experience with LLM application design: RAG, prompt engineering, orchestration frameworks.Proficiency in modern programming and automation (Python, PowerShell, REST APIs, IaC).Understanding of data platforms (CosmosDB, SQL, Redis) and event-driven architectures.Experience designing and deploying multi-agent or autonomous AI systems.Familiarity with real-time AI (voice, streaming, event-based processing).Understanding of AI evaluation, testing, and red-teaming methodologies.Exposure to AI safety frameworks and governance models.Demonstrated ability to deliver complex platforms from concept to production.Experience operating in fast-paced, innovation-led environments.Strong stakeholder management and communication skillsCertifications (Desirable)Microsoft Azure AI Engineer AssociateAzure Solutions Architect ExpertRelevant AI/ML or cloud certificationsMindset & Leadership StyleEngineering-first leader: leads through hands-on capability and technical credibility.Outcome-driven: focuses on delivering measurable business value from AI.Pragmatic innovator: balances cutting-edge approaches with operational stability.Security and ethics conscious: prioritises responsible AI at scale.Collaborative and transparent: builds trust across technical and business teams.Let op: vacaturefraudeHelaas komt vacaturefraude steeds vaker voor. We waarschuwen je voor mogelijke misleiding:* Wij zullen nooit via WhatsApp of in een videogesprek vragen om jouw persoonlijke gegevens (zoals een kopie van je ID, bankgegevens of BSN).* Twijfel je over de echtheid van een vacature of contactpersoon? Neem dan altijd rechtstreeks contact met ons op via de officiële contactgegevens op onze website.Important: job fraudUnfortunately, job fraud is becoming more common. Beware of such scams:* We will never ask for personal information (such as a copy of your ID, bank details, or social security number) via WhatsApp or during a video call.* If you're unsure whether a vacancy or contact person is legitimate, please reach out to us directly using the official contact details on our website.
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