KPMG Australia
Professional Services
AISolutionDesigner
Neural analysis suggests this role is
optimal for mid candidates.
“AI Solution Designer at KPMG Australia. Skills: AI Solution Design, Agentic Systems, Retrieval-Augmented Generation (RAG), Large-scale AI workloads, Azure AI, AWS AI. Translate requirements into technical designs. Carry out Enterprise-wide implementations”
What You'll Achieve.
assist with our growing AI capability; accelerate their digital transformation journeys; creating meaningful careers; make a difference; design, build, and deliver enterprise-grade AI solutions; deliver enterprise-wide implementations; drive enterprise-wide implementation; produce meaningful and impactful work
Industry & Context.
translate requirements into technical designs; translate business problems into production-ready AI solutions; translate complex requirements into practical solutions; solve complex challenges
What They're Looking For.
Must Have
Proven experience designing and delivering enterprise AI/ML solutions end-to-end, engineering background with hands-on coding experience (Python essential), Deep expertise in LLMs, RAG architectures, and agent frameworks (e.g. LangChain, Semantic Kernel), Experience across Azure AI and AWS AI ecosystems, understanding of MLOps/LLMOps, APIs, and scalable system design, Ability to collaborate with stakeholders and translate complex requirements into practical solutions
Nice to Have
Experience working in large or regulated environments is highly regarded, Azure and/or AWS certifications highly desirable
What You'll Do.
Translate requirements into technical designs
Carry out Enterprise-wide implementations
and deliver enterprise-grade AI solutions
Design and engineer agentic systems
Design and engineer Retrieval-Augmented Generation (RAG) pipelines
Design and engineer large-scale AI workloads
Translate business problems into production-ready AI solutions
and responsible AI systems
Design and deliver multi-agent systems and AI-driven solutions integrating LLMs
Build and implement RAG pipelines
and re-ranking strategies
Develop solutions across Azure AI (AI Foundry
AI Search) and AWS (Bedrock
Translate business requirements into high-quality technical designs
Drive enterprise-wide implementation
Define evaluation frameworks
including LLM performance metrics
and hallucination mitigation
Embed responsible AI principles (security
and safety) into all solutions
Present solution designs to both technical and executive audiences
Deliver production-ready solutions
and infrastructure-as-code
How You'll Work.
Team & Collaboration
Collaborate with clients; Collaborate with major technology partners; Collaborate with stakeholders; Collaborate with a team of passionate, highly skilled professionals; Build relationships with unique and diverse colleagues
Communication Scope
Present solution designs to both technical and executive audiences
Process & Methodology
Drive enterprise-wide implementation, Deliver production-ready solutions
Full Job Description
Where can a tech career at KPMG take you? To a place where opportunity, innovation and collaboration come together. Our Mid‑Market & Private, Tech team is helping clients accelerate their digital transformation journeys. We work with major technology partners, cutting‑edge tools and real‑world industry challenges—creating meaningful careers for tech professionals who want to grow, innovate and make a difference. KPMG is a place where you can come as you are, learn for a lifetime and thrive as part of a global community. 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 * Design and deliver multi-agent systems and AI-driven solutions integrating LLMs, APIs, and enterprise data * Build and implement RAG pipelines, including embeddings, vector stores, retrievers, and re-ranking strategies * Develop solutions across Azure AI (AI Foundry, OpenAI, AI Search) and AWS (Bedrock, SageMaker, Lambda, OpenSearch/Kendra) * Translate business requirements into high-quality technical designs and drive enterprise-wide implementation * Define evaluation frameworks, including LLM performance metric
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