We help clients adopt responsible AI to improve decision making, elevate customer experiences and unlock new efficiencies. Our team blends data science, software engineering and applied AI to deliver secure, reliable and governed AI solutions on Microsoft Azure.
Your Opportunity
As an AI Manager you are a hands-on leader who designs and ships advanced AI solutions, including agentic and multi-agent architectures, while supporting junior developers. You will combine modern AI patterns, engineering discipline and responsible AI principles to deliver safe, reliable and business-aligned outcomes.
Key Responsibilities:
- Support ideation and requirements definition for new AI concepts for clients and KPMG
- Lead solution design for AI features using Azure AI Services and Azure Foundry Service, including prompt design, grounding, content filtering and evaluation.
- Design and implement agentic workflows, including task orchestration, tool use, dynamic planning and state aware decision flows.
- Architect and develop multi-agent systems, including agent coordination, routing logic, shared memory design, messaging protocols and performance optimisation.
- Implement RAG patterns using Azure AI Search or vector-enabled databases, including indexing strategies, chunking, reranking and safety guardrails.
- Work with data engineers to prepare data pipelines and features that support both traditional ML and agent-driven systems.
- Establish MLOps or LLMOps practices including evaluation pipelines, automated testing, CI/CD for models and agents, model registries, and monitoring for drift, safety and cost.
- Integrate AI features into applications through APIs, microservices and event-driven patterns, ensuring resilience, observability and operational readiness.
- Conduct code reviews, technical design sessions and structured mentoring to support junior developers.
- Produce high-quality documentation, reusable patterns and architectural assets to support scalable delivery.
How are you extraordinary
- You combine curiosity with practical engineering discipline, turning advanced AI patterns into safe and valuable real-world solutions.
- You communicate clearly about AI capabilities, limitations and risks, influencing stakeholders across technical and non-technical domains.
- You foster a collaborative and learning-focused engineering culture, helping others grow through coaching and support.
Your Experience
- Hands-on development experience with Microsoft Foundry, Azure OpenAI Service or Azure AI Services, including advanced prompt design, evaluation, safety and reliability techniques.
- Deep experience designing and implementing agentic AI systems, including tool integration, dynamic decisioning and structured workflows.
- Experience with multi-agent architectures, such as dispatch patterns, planner/executor models, cooperative and competitive agent roles, shared memory systems and inter-agent communication strategies.
- Proficiency with RAG solutions, vector search, semantic caching and retrieval optimisation, using Azure AI Search or Cosmos DB for vector workloads.
- Strong engineering capability in Python or C#, including RESTful microservices, containerization and CI/CD pipelines.
- Familiarity with responsible AI principles including safety filtering, content moderation, governance, secure prompt handling, auditability and risk controls.
- Strong background collaborating with product, design, architecture and platform teams across Agile environments.
Qualifications
- Relevant degree in Computer Science, Data Science, Engineering or related discipline.
- Microsoft certifications in AI Engineer, Data Scientist or equivalent Azure specialties are preferred.
- Excellent written and verbal communication skills.