AI Engineering Manager

AI Platform Engineering \& Delivery

• Support 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.

• Oversee 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.

• Embed 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.

• Lead 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.

• Build, 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.

• Translate 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.

• 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 skills

• Microsoft Azure AI Engineer Associate


• Azure Solutions Architect Expert


• Relevant AI/ML or cloud certifications

• Engineering\-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.

Benefits:

• Paid volunteer time


• Private medical insurance


• Work from home

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