Define EY Fabric AI reference architectures covering AI Factory, OpenAI integrations, GenAI workloads, model orchestration, agentic patterns, retrieval-based approaches, deployment, evaluation, monitoring, and lifecycle management
Create repeatable AI design patterns for common post-sales scenarios such as GenAI application onboarding, secure model access, prompt orchestration, RAG-style solution patterns, evaluation workflows, telemetry, and operational controls
Develop AI accelerators including architecture blueprints, starter kits, integration templates, deployment patterns, evaluation frameworks, monitoring patterns, reusable prompts, configuration guidance, and handoff packs
Partner with AI Product, Engineering, Security, Risk, and Reliability teams to align post-sales patterns with platform roadmap and governance expectations
Requirements
Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or equivalent experience
10+ years of engineering with recent GenAI architecture experience, including significant AI, ML, GenAI, or platform delivery experience
Experience building reusable AI patterns, accelerators, technical standards, or implementation playbooks
AI, cloud architecture, security, or data certifications preferred