EY
Website:
ey.com
Company:
https://www.linkedin.com/company/ernstandyoung
Seniority: Mid-Senior level
Industries: Professional Services
Job details:
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
The opportunity
EY GDS is seeking a highly motivated, results-driven, and quality-focused
Agentic AI & Generative AI Senior Manager to join our AI team. The ideal candidate will have deep experience in the
Banking domain and a proven track record of architecting, leading, and scaling enterprise AI transformation programs. As an Agentic AI & Gen AI Senior Manager, you will be responsible for shaping AI strategy, solution architecture, governance, and delivery of advanced AI solutions across banking. You will lead the adoption of next-generation
Agentic AI frameworks, autonomous AI agents, AI orchestration patterns, Responsible AI, AI Governance, and Generative AI technologies, enabling intelligent automation, enhanced decision-making, regulatory alignment, and business transformation for clients. The role requires deep banking domain expertise, AI architecture leadership, strong Azure ecosystem knowledge, stakeholder management, and a passion for delivering impactful, secure, scalable, and responsible AI solutions.
Your Key Responsibilities
- Lead enterprise strategy, architecture, and implementation of Agentic AI, Generative AI, Responsible AI, AI Governance, and advanced analytics solutions for Banking clients.
- Act as a Senior Manager, AI architect, and thought leader with strong business acumen, translating executive priorities and business requirements into scalable AI architectures and transformation roadmaps.
- Drive adoption of autonomous AI agents, multi-agent systems, agent orchestration frameworks, AI copilots, RAG / Agentic RAG solutions, and cloud-native GenAI platforms across banking processes.
- Partner with senior client stakeholders, architects, data scientists, AI engineers, product leaders, risk and compliance teams to identify, prioritize, and deliver high-value AI use cases.
- Own design authority for LLM-powered applications, enterprise AI agents, model evaluation, observability, LLMOps, AI security, Responsible AI controls, AI governance, and production deployment patterns.
- Develop Agentic AI and GenAI solutions for customer servicing, relationship management, lending, credit risk, fraud detection, KYC/AML, compliance monitoring, wealth advisory, investment research, portfolio intelligence, and operations transformation.
- Establish AI governance frameworks covering responsible AI principles, model risk management, explainability, fairness, privacy, security, auditability, regulatory compliance, and human-in-the-loop controls.
- Lead business development activities including client engagements, solution workshops, architecture reviews, proposal creation, RFP responses, executive presentations, and AI transformation roadmaps.
- Create reusable accelerators, reference architectures, delivery playbooks, and best-practice assets across Azure AI services, Agentic AI frameworks, and enterprise AI platforms.
- Stay current with advancements in Agentic AI, AI orchestration, LLMs, RAG, model evaluation, AI governance, autonomous workflows, Responsible AI, Azure AI ecosystem, and emerging cloud AI capabilities.
- Present business outcomes, technical architecture, risk considerations, insights, and recommendations to senior client stakeholders and leadership teams in a clear and impactful manner.
- Lead and manage multidisciplinary teams of AI architects, GenAI specialists, data scientists, engineers, and consultants, providing strategic direction and delivery oversight.
- Provide thought leadership on enterprise AI architecture, Agentic AI adoption, Responsible AI, AI Governance, cloud AI modernization, and GenAI operating models for Banking.
- Mentor and coach managers, junior architects, analysts, and developers, fostering technical excellence, innovation, engineering discipline, and responsible AI delivery practices.
Skills and Attributes:
Professional Experience
- 15+ years of experience in Artificial Intelligence, Generative AI, Agentic AI, Advanced Analytics, AI architecture, and enterprise technology transformation, with a strong record of designing, building, governing, and scaling production AI solutions.
- At least 7+ years of experience leading AI-driven transformation programs within the Banking industry.
- Proven experience as an AI leader / AI architect, managing large-scale programs, cross-functional teams, solution architecture, client delivery, governance, and executive stakeholder engagement.
- Extensive experience identifying, designing, and implementing high-value AI 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, Solution Architecture, Cloud Technologies, Responsible AI, AI Governance, or Agentic AI platforms are preferred.
Technical Skills
Agentic AI & Generative AIExpertise in Agentic AI, multi-agent systems, autonomous workflows, AI orchestration, RAG, Graph RAG, Agentic RAG, LLM fine-tuning, prompt engineering, AI governance, Responsible AI, 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, Azure Databricks, AKS, Azure Functions, Azure Synapse, Data Factory, Microsoft Fabric, Azure DevOps, and cloud-native Azure architectures for enterprise AI solutions.Agentic AI FrameworksExperience building, orchestrating, deploying, governing, and monitoring AI agents and multi-agent systems using Microsoft Agent Framework, LangGraph, LangChain, CrewAI, and related orchestration platforms.AI Architecture, Responsible AI & GovernanceStrong knowledge of enterprise AI architecture, AI governance operating models, Responsible AI frameworks, model risk management, explainability, fairness, privacy, security, compliance, auditability, and human-in-the-loop review patterns.AI/ML & Data ScienceStrong expertise in Machine Learning, Deep Learning, NLP, Generative AI, Predictive Analytics, Computer Vision, Recommendation Systems, Time Series Forecasting, Statistical Modeling, model evaluation, and observability.Banking ExpertiseDeep understanding of Banking processes including lending, credit risk, KYC/AML, fraud detection, compliance, customer onboarding, wealth advisory, portfolio analysis, investment research, operations transformation, and risk management.Programming & CloudStrong proficiency in Python, SQL, PyTorch, and TensorFlow, with mandatory depth in Microsoft Azure and working knowledge of other cloud platforms such as AWS Bedrock and GCP Vertex AI.Software Engineering & AI Operations- Experience with API development, microservices, CI/CD pipelines, Git, Agile methodologies, DevSecOps, ModelOps/MLOps, LLMOps, AI observability, and enterprise AI deployment frameworks.
- Product & Solution Development
- Strong understanding of the end-to-end AI lifecycle including discovery, use-case prioritization, architecture, development, testing, deployment, monitoring, governance, scalability, security, Responsible AI, and continuous improvement.
Soft Skills
- Strong consulting, stakeholder management, executive presence, and client engagement capabilities.
- Ability to translate complex business problems into AI, Agentic AI, AI architecture, governance, and analytics solutions and communicate technical concepts to business stakeholders.
- Excellent communication, presentation, workshop facilitation, proposal development, and executive stakeholder management skills.
- Proven thought leadership in AI strategy, Responsible AI, AI Governance, enterprise architecture, innovation, and business transformation.
- Strong team leadership, mentoring, people development, delivery management, and capability-building skills.
Key Responsibilities
- Lead enterprise design, architecture, and implementation of Agentic AI, Generative AI, Responsible AI, AI Governance, and AI-driven transformation solutions for Banking clients.
- Drive end-to-end delivery of AI programs, including strategy, use-case identification, solution architecture, development, deployment, governance, optimization, and production support.
- Architect and implement LLM, RAG, Agentic RAG, AI Copilot, autonomous agent, and multi-agent orchestration solutions using Microsoft Foundry, Azure OpenAI, LangGraph, LangChain, Microsoft Agent Framework, and related platforms.
- Collaborate with senior business and technology stakeholders to translate complex business challenges into secure, scalable, governed, and cloud-native AI solutions.
- Lead client engagements, proposal development, architecture reviews, executive presentations, AI governance initiatives, and thought leadership while ensuring regulatory compliance and Responsible AI practices.
- Mentor and manage high-performing AI teams, driving innovation, reference architectures, best practices, governance, 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
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
Click on Apply to know more.
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