EY GDS Consulting AIA AI Architect Senior Manager

At EY youll 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 were 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-Consulting-GenAI/Agentic Senior Manager

We are looking to hire individuals with 16 years of relevant professional experience with strong AI Enabled Automation skills who are interested in applying AI in the process automation space Azure AWS AI ML Deep Learning NLP GenAI large Language Models (LLM) RAG Vector DB Graph DB and Python.

At EY youll 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 yourself. Were 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.

Responsibilities:

• Provide strategic direction and leadership to project teams fostering a culture of innovation and continuous improvement.
• Manage stakeholder relationships ensuring clear communication and alignment on project goals and deliverables.
• Drive team performance by setting clear objectives providing feedback and supporting professional development.
• Lead the development and implementation of AI-enabled automation solutions ensuring alignment with business objectives.
• Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals demonstrating the potential of AI-enabled automation applications.
• Collaborate with cross-functional teams to understand requirements integrate solutions into cloud environments (Azure GCP AWS etc.) and ensure alignment with business goals and user needs.
• Educate and mentor team members on best practices and keep updated on the latest tech advancements to bring innovative solutions to projects.

Technical Skills Requirements:

• Proven experience driving GenAI and LLM-enabled solutions (GPT Claude LLaMA) across the full lifecyclefrom usecase identification prompting strategies governance/safety and tuning to enterprise deployment.
• Delivery leadership experience with Agentic AI frameworks such as LangChain LlamaIndex LangGraph AutoGen and CrewAI capable of designing and supervising multiagent workflows that integrate into enterprise automation ecosystems.
• Strong understanding of RAG architectures including KnowledgeGraphenhanced RAG with the ability to oversee platformlevel integrations and assure engineering rigor.
• Experience guiding teams in multiagent orchestration memory persistence tool integrations and safeexecution patterns essential for enterprise Agentic AI deployments.
• Strong practical understanding of deploying scalable ML/GenAI solutions on Azure AWS and GCP overseeing cloud-native solution design and performance optimization.
• Leadership-level understanding of data pipelines API ecosystems distributed systems and integration patterns necessary for enterprise-grade AI delivery.
• Ability to define and govern AI observability frameworks including monitoring for latency drift reliability and overall system performance ensuring stability in production environments.
• Strong communication and consulting skills capable of articulating complex AI constructs to clients leading executive discussions and ensuring high-quality deliverables across technical and business audiences
• Advanced analytical problemsolving and structured thinking skills for guiding architecture decisions resolving delivery bottlenecks and ensuring high-quality outcomes.

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