EY-GDS Consulting-AIA-Agentic AI-Manager

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, Gen