Join EY’s AI Go To Market (GTM) Engine Room and lead the experimentation, prototyping, and deployment of advanced AI and Generative AI solutions to support client pursuits, industry demonstrations, and scalable sector offerings.
Requirements
- Lead the prototyping and deployment of AI and Generative AI solutions supporting client pursuits and scalable sector offerings.
- Architect and implement LLM-powered applications and agentic workflows, including multi-agent orchestration and advanced tool/function calling patterns.
- Design and oversee data-driven architectures across cloud and hybrid environments.
- Engineer scalable AI systems with embedded Responsible AI, governance, and security controls.
- Establish and embed MLOps and LLMOps practices including lifecycle management, experimentation tracking, monitoring, and safe deployment.
- Design and optimise data pipelines integrating structured and unstructured data sources.
- Select and implement vector database strategies alongside relational and NoSQL systems.
- Deploy and optimise AI workloads across AWS, Azure, or GCP using containerisation, CI/CD, and infrastructure-as-code.
- Mentor and guide junior engineers within the Engine Room.
- Evaluate emerging models, orchestration approaches, and low-code platforms to continuously strengthen EY’s AI capability.
Benefits
- Comprehensive benefits package
- Flexible work arrangements
- Yearly wellness incentive
- Additional 8 weeks of flex leave per year
- Family-friendly policies, including 26 weeks of gender-neutral paid parental leave
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