Join EY’s AI Go to Market (GTM) Engine Room as an AI Engineer – Manager. Lead experimentation, prototyping, and deployment of advanced AI and Generative AI solutions. Shape AI positioning across priority sectors and strategic accounts.
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 (MLflow, Weights & Biases), 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
- Flexible work arrangements
- Comprehensive benefits package
- Yearly wellness incentive
- 8 weeks of flex leave per year
- 26 weeks of gender-neutral paid parental leave
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