EY - GDS Consulting - AIA - Full stack engineer - Manager

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. 

Title: AI/GenAI– Manager

Educational qualification: BTech/Masters/PhD

The opportunity

We are seeking an experienced GenAI Manager with 10+ years of overall experience, including significant hands-on expertise in Generative AI, Agentic AI, RAG architectures, Conversational AI, and enterprise AI platforms. The ideal candidate will lead the design, delivery, governance, and scaling of AI solutions while managing cross-functional teams of AI engineers, data scientists, architects, and business stakeholders.

The role requires a strong blend of technical leadership, solution architecture, AI strategy, delivery management, and stakeholder engagement to drive enterprise-wide adoption of GenAI capabilities. The candidate should have proven experience delivering AI-powered solutions such as RAG applications, AI agents, copilots, knowledge management platforms, AI automation workflows, and multi-agent systems, while ensuring Responsible AI, quality, security, and scalability standards are met.

The individual will lead AI quality, validation, and governance initiatives to ensure the reliability, security, performance, and scalability of enterprise AI and GenAI solutions while partnering with technical and business teams.

Important: Hands-on experience delivering AI solutions in enterprise or production environments is required. Certifications, personal projects, and demos alone are not sufficient.

Application Guidance: Candidates should be able to explain at least two AI/GenAI implementations, including the business use case, their contribution, technical approach, and measurable outcomes.

Your key responsibilities

• Lead the design, development, and delivery of enterprise AI, GenAI, Agentic AI, and RAG-based solutions aligned with business objectives.
• Define AI strategy, roadmaps, governance frameworks, and operating models to enable scalable AI adoption across the organization.
• Drive the architecture and implementation of AI platforms, copilots, multi-agent systems, conversational AI solutions, and intelligent automation initiatives.
• Collaborate with business stakeholders to identify high-value AI use cases, establish success metrics, and realize business value.
• Oversee the end-to-end AI solution lifecycle, including ideation, architecture, development, deployment, monitoring, and continuous improvement.
• Lead and mentor cross-functional teams of AI engineers, data scientists, architects, and developers, fostering innovation and delivery excellence.
• Establish best practices for Responsible AI, security, privacy, compliance, and risk management across AI implementations.
• Drive adoption of enterprise AI capabilities leveraging Azure AI Foundry, OpenAI, Databricks, vector databases, and modern AI frameworks.
• Ensure AI solutions are scalable, reliable, secure, and aligned with enterprise architecture and governance standards.
• Partner with engineering and business teams to define evaluation frameworks, quality standards, and performance metrics for AI systems.
• Guide the implementation of RAG architectures, knowledge management solutions, and agentic workflows to enhance business productivity and decision-making.
• Manage stakeholder communication, executive reporting, budgeting, resource planning, and delivery governance for AI programs.
• Stay current with emerging trends in GenAI, Agentic AI, multimodal AI, AI agents, and enterprise AI platforms to drive innovation and competitive advantage.
• Contribute to capability building, reusable accelerators, reference architectures, and thought leadership across the AI practice.

Skills and Attributes:

Professional Experience

• 10+ years of overall experience, including 5+ years leading AI/ML, GenAI, or data-driven transformation initiatives in enterprise environments.
• Proven experience delivering and scaling production-grade AI, GenAI, Agentic AI, Copilot, and RAG-based solutions from concept through deployment and adoption.
  • Strong understanding of enterprise AI architecture and hands-on exposure to multiple areas, including:
  • LLM and GenAI application development
  • RAG architectures and knowledge management solutions
  • Agentic AI and multi-agent systems
  • Conversational AI and Copilot solutions
  • AI evaluation, governance, and Responsible AI
  • AI platform engineering and cloud-based deployments
  • MLOps / LLMOps and operationalization of AI solutions
  • Data engineering, vector databases, and retrieval pipelines
• Demonstrated ability to lead cross-functional teams of AI engineers, architects, data scientists, and developers.
• Strong stakeholder management skills with experience translating business needs into scalable AI solutions and measurable business outcomes.
• Experience with enterprise AI platforms such as Azure AI Foundry, OpenAI, Databricks, Microsoft Copilot, and related AI ecosystems.

Educational Background

• Bachelor’s/master’s degree in computer science, Data Science, Engineering, or related field.

Technical Skills

• Strong understanding of Large Language Models (LLMs), Generative AI, Agentic AI, Multi-Agent Systems, and RAG architectures.
• Proven experience designing and delivering enterprise-scale GenAI, Copilot, Conversational AI, and AI Agent solutions.
• Experience defining AI strategy, solution roadmaps, architecture standards, and operating models.
• Strong knowledge of AI platform ecosystems including Azure AI Foundry, Azure OpenAI, Databricks, Vector Databases, and Enterprise Search platforms.
• Experience leading the design and implementation of RAG pipelines, knowledge management solutions, and AI-powered business applications.
• Understanding of AI evaluation, guardrails, observability, quality metrics, and Responsible AI practices.
• Experience establishing governance frameworks covering AI security, privacy, compliance, safety, and risk management.
• Strong knowledge of prompt engineering, agent orchestration frameworks, tool integrations, and workflow automation.
• Experience managing the end-to-end AI lifecycle, including ideation, development, deployment, monitoring, and adoption.
• Proven ability to lead and mentor AI engineers, architects, data scientists, and cross-functional delivery teams.
• Experience integrating AI solutions with enterprise applications, APIs, databases, cloud platforms, and business processes.
• Strong understanding of MLOps, LLMOps, model monitoring, performance optimization, and operationalization of AI solutions.
• Ability to work with executive stakeholders to identify AI opportunities, define business value, and drive adoption.
• Experience with enterprise architecture, software engineering best practices, scalability, reliability, and secure solution design.
• Strong analytical, problem-solving, stakeholder management, and communication skills.

Soft Skills

• Excellent problem-solving and strategic thinking skills, with the ability to translate AI capabilities into measurable business outcomes and enterprise value.
• Strong communication, stakeholder management, and executive presentation skills, with the ability to influence both technical and business audiences.       

Other Responsibilities:

• Lead the delivery of enterprise GenAI, Agentic AI, and RAG solutions, from ideation through deployment and business adoption.
• Define AI strategy, solution roadmaps, governance frameworks, and best practices to drive scalable AI adoption.
• Partner with business and technology stakeholders to identify opportunities, prioritize use cases, and deliver measurable business value.
• Mentor and lead cross-functional teams of AI engineers, architects, and data scientists, ensuring delivery excellence and innovation.
• Drive AI governance, Responsible AI, security, compliance, and operational readiness across all AI initiatives.

Why Join Us

• Be at the forefront of AI-driven innovation across multiple client sectors.
• Work with global clients to drive real business impact.
• Collaborate with a team of AI experts, analytics leaders, and industry specialists in a highly entrepreneurial environment.

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

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