EY-GDS Consulting-AI And DATA- AI Architect-Associate Director

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.

EY GDS – Associate Director – AI Architect As part of our EY-GDS, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.   The opportunity   We’re looking for Associate Director (AI Architects) with strong technology and data understanding having proven pre-sales & delivery capability. This is a fantastic opportunity to be part of a leading consulting firm as well as a part of growing consulting practise.   Your key responsibilities Business Value Engineering & Consultative Selling

Partner with C‑suite and senior business leaders to understand strategic priorities and identify AI-led transformation opportunities that deliver clear business value. Shape, articulate, build future architecture, and present compelling value propositions, solution narratives, and business cases for AI/GenAI/Agentic AI engagements. Drive account teams in pursuit cycles, contributing to RFP responses, solution design, storyline decks, and client presentations. Lead client discovery and ideation workshops to define AI use cases, roadmap, and ROI frameworks. Drive consultative selling by helping clients understand where AI can meaningfully impact operations, customer experience, finance, and industry‑specific value chains.

AI Architecture, Design & Solutioning

Architect end‑to‑end AI, Generative AI, and Agentic AI solutions across Azure (Azure AI, Azure OpenAI), AWS (SageMaker), and GCP (Vertex AI). Leverage leading AI platforms such as OpenAI, Azure OpenAI, Hugging Face, LangChain, vector databases (Pinecone, ChromaDB), and agent orchestration frameworks. Design architecture patterns for enterprise AI systems—including RAG, autonomous agent workflows, LLMOps, and scalable cloud-native deployments. Work with data engineering and data science teams to define data models, pipelines, and ML development workflows using Databricks, Synapse, Snowflake, Spark, Kubernetes, Docker, etc.

Delivery Oversight & Technical Leadership

Oversee delivery of AI/GenAI projects to ensure architecture integrity, engineering quality, and alignment to business value commitments. Act as the technical escalation point during delivery, guiding solution teams and ensuring adherence to best practices. Review detailed solution designs, code, and architectural artifacts to maintain technical rigor. Mentor and coach architects, AI engineers, and delivery teams on solution design, coding standards, and engineering excellence.

Innovation, Prototyping & Thought Leadership

Drive the development of POVs, accelerators, prototypes, and demos using Azure AI, OpenAI, NVIDIA AI, and related technologies. Create industry-specific and horizontal reference architectures, reusable assets, and solution frameworks. Represent the practice in client discussions, internal leadership forums, and external industry events on AI strategy and innovation.

Engineering & Build (Selective / Hands-on as Needed)

Lead by example with hands‑on prototyping when required; write and review high-quality, testable code in Python and other languages. Guide teams in adopting modern practices for MLOps/LLMOps, DevOps, observability, and secure deployment.

To Qualify for the Role, You Must Have

Extensive pre‑sales and consultative experience with the ability to diagnose business problems, frame value propositions, and connect AI capabilities to