We are seeking an AI Solution Designer to assist with our growing AI capability within our Mid‑Market and Private Data & AI practice who can translate requirements into technical designs and carry out Enterprise-wide implementations.
The candidate blends deep engineering expertise with strong solution design acumen to design, build, and deliver enterprise-grade AI solutions. The successful candidate will design and engineer agentic systems, Retrieval-Augmented Generation (RAG) pipelines, and large-scale AI workloads on platforms such as Microsoft AI Foundry and AWS AI services, with practical experience using frontier models including Anthropic Claude. This role bridges architecture and implementation, translating business problems into production-ready AI solutions while writing code, building agents, integrating data, and designing scalable, secure, and responsible AI systems.
Location: Sydney, Melbourne, or Brisbane
Key Responsibilities
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Design and deliver multi-agent systems and AI-driven solutions integrating LLMs, APIs, and enterprise data
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Build and implement RAG pipelines, including embeddings, vector stores, retrievers, and re-ranking strategies
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Develop solutions across Azure AI (AI Foundry, OpenAI, AI Search) and AWS (Bedrock, SageMaker, Lambda, OpenSearch/Kendra)
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Translate business requirements into high-quality technical designs and drive enterprise-wide implementation
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Define evaluation frameworks, including LLM performance metrics, guardrails, and hallucination mitigation
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Embed responsible AI principles (security, compliance, privacy, and safety) into all solutions
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Lead workshops, develop HLDs/LLDs, and present solution designs to both technical and executive audiences
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Deliver production-ready solutions, including code, CI/CD pipelines, and infrastructure-as-code
How are you extraordinary:
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Proven experience as an AI Solution Designer or Senior Solution Designer in consulting
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Strong stakeholder engagement and workshop‑facilitation skills
Your Experience
At KPMG, we believe that diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients, and communities. To be considered for this opportunity, your qualifications, skills & experience should include:
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Proven experience designing and delivering enterprise AI/ML solutions end-to-end
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Strong engineering background with hands-on coding experience (Python essential)
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Deep expertise in LLMs, RAG architectures, and agent frameworks (e.g. LangChain, Semantic Kernel)
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Experience across Azure AI and AWS AI ecosystems
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Strong understanding of MLOps/LLMOps, APIs, and scalable system design
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Ability to collaborate with stakeholders and translate complex requirements into practical solutions
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Experience working in large or regulated environments is highly regarded
