EY is looking for an AI Labs Engine Room Lead to spearhead our enterprise AI build capability, focused on prototyping, hardening, and scaling cutting-edge solutions across sectors. You will architect and industrialize our most advanced AI capabilities, blending deep technical expertise with strategic influence to set standards and mentor a high-performing team.
What You'll Do
- Design and oversee advanced AI solutions across Generative AI, LLM architectures, RAG patterns, and agentic workflows.
- Architect and govern secure AI Lab environments with embedded guardrails, security controls, and Responsible AI frameworks.
- Establish reference architectures, engineering standards, and reusable accelerators across sectors.
- Mature LLMOps and MLOps capabilities to ensure scalable, repeatable AI deployment.
- Lead cloud native AI system design across AWS, Azure, and GCP.
- Oversee integration of data pipelines, APIs, and enterprise systems for secure deployment.
- Guide containerisation, CI/CD, and infrastructure as code practices.
- Ensure monitoring, evaluation, and lifecycle management are embedded from day one.
- Work alongside the Chief AI Officer on priority pursuits and strategic accounts.
- Translate complex AI capabilities into commercially viable offerings.
- Engage confidently with executive stakeholders on AI architecture, governance, and scaling strategy.
- Lead and mentor AI Engineers across Consultant and Manager levels.
- Encourage disciplined experimentation with a strong engineering backbone.
- Continuously evaluate emerging models, frameworks, and tooling to keep EY at the frontier.
What We're Looking For
- Proven experience delivering enterprise AI and Generative AI solutions.
- Deep expertise in LLM architectures, RAG patterns, multi-agent systems, and orchestration frameworks.
- Experience designing and operating secure AI Lab or sandbox environments.
- A track record of building production-grade AI systems at scale.
- Strong business acumen and the ability to translate complex challenges into AI-enabled solutions.
- Executive-level communication skills and experience influencing senior stakeholders.
- Experience leading high-performing, multidisciplinary engineering teams.
- Advanced programming expertise in Python.
- Deep experience with AI and agentic frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, and vector databases.
- Experience deploying AI workloads across AWS, Azure, or GCP including Bedrock, Azure AI Foundry, and Vertex AI.
- Strong understanding of data engineering, distributed systems, and large-scale data processing.
- Experience with containerisation technologies including Docker and Kubernetes.
- Experience implementing LLMOps or MLOps including monitoring, evaluation, and safe deployment.
- Strong grounding in Responsible AI, governance, and enterprise security controls.
Nice to Have
- Broader engineering experience beyond Python is highly regarded.
Technical Stack
- Languages & Frameworks: Python, LangChain, LlamaIndex, LangGraph, CrewAI, Vector databases
- Cloud Platforms: AWS, Azure, GCP
- Cloud AI Services: AWS Bedrock, Azure AI Foundry, Vertex AI
- Infrastructure: Docker, Kubernetes
Team & Environment
You will lead the AI GTM Engine Room, a high-performing team of AI engineers across Consultant and Manager levels. You will report to and partner directly with the Chief AI Officer.
Benefits & Compensation
- Yearly wellness incentive.
- Access to an additional 8 weeks of flex leave per year.
- Family-friendly policies, including 26 weeks of gender-neutral paid parental leave.
- Flexible work arrangements.
- Career development with future-focused skills and world-class experiences.
- Competitive salary open to negotiation pending on skills and experience.
Work Mode
This is a hybrid role based in any EY office across Australia.
EY is committed to a diverse and inclusive culture of globally connected teams, with core values of diversity, equity, and inclusiveness. We encourage applications from people of all ages, nationalities, abilities, cultures, sexual orientations, and gender identities and are committed to providing an equitable and barrier free recruitment experience for all.
