AI Technical Architect - Manager
at Ernst & Young
Posted 11 hours ago
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- Compensation
- Not specified
- City
- Noida
- Country
- India
Currency: Not specified
EY is seeking an AI Technical Architect to provide the blueprint and standards for AI agent development and GenAI solutions across the enterprise data and analytics ecosystem. The role will define architecture blueprint, development patterns, reference architectures, agent orchestration patterns, model integration standards, prompt and tool design guidelines, evaluation frameworks, and governance guardrails for building AI agents safely and consistently. This role collaborates with architecture, engineering, and platform teams to enable reusable AI development patterns and scalable, responsible adoption of agentic AI across platforms such as Databricks, Dataiku, enterprise data platforms, and internal AI tools. The ideal candidate will have deep expertise in LLM/agent architecture, AI lifecycle management, API-based model integration, vector databases, prompt engineering, and AI governance.
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
AI Technical Architect - to provide a blueprint and standards for AI agent development to define the architecture blueprint, standards, and development patterns for AI agent and GenAI solution development across our enterprise data and analytics ecosystem. This role will work with architecture, engineering, and platform teams to establish reference architectures, agent orchestration patterns, model integration standards, prompt and tool design guidelines, evaluation frameworks, and governance guardrails for building AI agents safely and consistently across platforms such as Databricks, Dataiku, enterprise data platforms, and internal AI tools. The consultant will help define reusable AI development patterns, integration standards, and lifecycle practices to enable scalable and responsible adoption of agentic AI across the organization.
Key technical skills:
LLM and agent architecture, agent orchestration frameworks (e.g., LangChain, Semantic Kernel, OpenAI-style tool orchestration), RAG architecture, AI/ML lifecycle management, API-based model integration, vector databases, prompt engineering patterns, AI evaluation frameworks, and AI governance architecture.
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