EY-GDS Consulting-AIA-Agentic AI-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. 

 

 

 

 

Career Family  

AIA – Agentic AI/Gen AI

 

Role Type

Full Time

 

The opportunity

EY GDS is seeking a highly motivated, results-driven, and quality-focused Agentic AI & Generative AI Manager to join our AI team. The ideal candidate will have strong experience in the Banking domain and a proven track record of leading and delivering innovative AI-powered solutions. As an Agentic AI & Gen AI Manager, you will be responsible for driving the strategy, design, and implementation of advanced AI solutions across banking domain. You will lead the adoption of next-generation Agentic AI frameworks, autonomous AI agents, and Generative AI technologies, enabling intelligent automation, enhanced decision-making, and business transformation for our banking clients. The role requires a blend of deep banking domain expertise, AI leadership, stakeholder management, and a passion for delivering impactful, scalable AI solutions.

 

Your key responsibilities

• Lead the development and implementation of Agentic AI, Generative AI, and AI strategies specifically tailored to the Banking industry.
• Act as a Manager and thought leader with strong business acumen, capable of translating business requirements into Agentic AI, GenAI, AI, and advanced analytics solutions.
• Drive the adoption and successful integration of AI agents, multi-agent systems, agent orchestration frameworks, and Generative AI solutions into existing banking processes.
• Collaborate closely with clients and stakeholders to understand business objectives and partner with cross-functional teams including data scientists, AI engineers, architects, product managers, and domain experts to identify and prioritize high-value AI use cases.
• Lead the design, development, training, evaluation, and deployment of LLM-powered applications, AI copilots, autonomous agents, retrieval-augmented generation (RAG) solutions, and multi-agent ecosystems across banking functions.
• Develop Agentic AI and Generative AI solutions for use cases such as customer servicing, relationship management, personalized financial advisory, lending, credit assessment, operations, risk management, fraud detection, compliance monitoring, KYC/AML, wealth management, and investment research.
• Establish governance frameworks to ensure responsible AI adoption, including compliance with regulatory requirements, security standards, model risk management, explainability, and ethical AI principles.
• Drive business development activities including client engagements, solution workshops, proposal creation, RFP responses, and executive-level presentations on AI transformation opportunities.
• Contribute to the growth of the AI practice by fostering innovation, collaboration, knowledge sharing, reusable accelerators, and internal awareness of Agentic AI and GenAI capabilities.
• Stay current with emerging trends and advancements in Agentic AI, LLMs, AI agents, autonomous workflows, prompt engineering, RAG, AI governance, and Generative AI technologies, applying them to banking solutions.
• Present business outcomes, technical solutions, insights, and recommendations to senior client stakeholders and leadership teams in a clear and impactful manner.
• Lead and manage teams of AI specialists, solution architects, data scientists, and engineers, providing direction and oversight on project delivery and execution.
• Provide thought leadership and advisory on best practices, frameworks, architectures, and methodologies for the adoption of Agentic AI and GenAI in Banking.
• Mentor and coach junior team members, fostering technical excellence and developing capabilities in Agentic AI, Generative AI, and advanced analytics.

 

Skills and Attributes:

Professional Experience

• 10+ years of experience in Artificial Intelligence, Generative AI, Agentic AI, and Advanced Analytics, with a strong track record of designing, building, and deploying enterprise-scale AI solutions.
• At least 5+ years of experience delivering AI-driven transformation programs within the Banking industry.
• Proven experience leading large-scale AI engagements, managing cross-functional teams, and driving end-to-end solution delivery.
• Extensive experience in identifying, designing, and implementing high-value use cases across retail banking, commercial banking, investment banking, wealth management, risk, compliance, fraud, operations, and customer experience domains.

 

Educational Background

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, or a related quantitative field.
• Advanced certifications in Azure AI, Generative AI, Machine Learning, Cloud Technologies, or Agentic AI platforms are preferred.

 

Technical Skills

Agentic AI & Generative AI

• Expertise in Agentic AI, multi-agent systems, autonomous workflows, AI orchestration, RAG, Graph RAG, Agentic RAG, LLM fine-tuning, prompt engineering, AI governance, knowledge graphs, AI copilots, and enterprise-scale LLM solutions.

Microsoft Azure AI Ecosystem (Mandatory)

• Strong hands-on experience with Azure OpenAI, Azure AI Foundry, Azure AI Services, AI Search, Azure ML, Databricks, AKS, Synapse, Data Factory, Microsoft Fabric, and Azure DevOps for enterprise AI solutions.

Agentic AI Frameworks

• Experience building and deploying AI agents and multi-agent systems using Microsoft Agent Framework, LangGraph, LangChain, CrewAI, and related orchestration platforms.

 

AI/ML & Data Science

• Strong expertise in Machine Learning, Deep Learning, NLP, Generative AI, Predictive Analytics, Computer Vision, Recommendation Systems, Time Series Forecasting, and Statistical Modeling.

Banking Expertise

• Deep understanding of Banking processes including lending, credit risk, KYC/AML, fraud detection, compliance, customer onboarding, wealth advisory, portfolio analysis, investment research, and risk management.

Programming & Cloud

• Strong proficiency in Python, SQL, PyTorch, and TensorFlow, with experience across Azure (mandatory), AWS Bedrock, and GCP Vertex AI platforms.

Software Engineering & AI Operations

• Experience with API development, microservices, CI/CD pipelines, Git, Agile methodologies, ModelOps/MLOps, LLMOps, and enterprise AI deployment frameworks.

Product & Solution Development

• Strong understanding of the end-to-end AI lifecycle including discovery, solution architecture, development, testing, deployment, monitoring, governance, scalability, security, and responsible AI practices.

 

Soft Skills

• Strong consulting, stakeholder management, and client engagement capabilities.
• Ability to translate complex business problems into AI, Agentic AI, and analytics solutions and communicate technical concepts to business stakeholders.
• Excellent communication, presentation, workshop facilitation, and executive stakeholder management skills.
• Proven thought leadership in AI strategy, innovation, and business transformation.
• Strong team leadership, mentoring, and people development skills.

 

Key Responsibilities

• Lead the design, development, and implementation of Agentic AI, Generative AI, and AI-driven transformation solutions for Banking clients.
• Drive end-to-end delivery of AI programs, including use-case identification, solution architecture, development, deployment, governance, and optimization.
• Architect and implement LLM, RAG, Agentic RAG, AI Copilot, and Multi-Agent solutions using Microsoft Foundry, Azure OpenAI, LangGraph, LangChain, and Microsoft Agent Framework.
• Collaborate with business and technology stakeholders to translate complex business challenges into scalable AI and analytics solutions.
• Lead client engagements, proposal development, executive presentations, and thought leadership initiatives while ensuring regulatory compliance and Responsible AI practices.
• Mentor and manage high-performing AI teams, driving innovation, best practices, and adoption of emerging Agentic AI technologies across the organization.

 

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.

 

 

EY | Building a better working world 

 
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