Senior Manager – Agentic AI

Agentic AI & Generative AI Senior Manager at EY leading AI transformation in Banking sector. Elevating client solutions through innovative AI frameworks and enterprise architecture.

Posted 7/29/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading enterprise AI strategy and architecture, with a focus on Generative AI, Responsible AI, and advanced analytics solutions tailored for the Banking sector. Proven ability to drive AI adoption, governance, and transformation while managing multidisciplinary teams and delivering high-value use cases.

Highest-signal resume keywords

AI ArchitectureGenerative AIResponsible AIAzure AIBanking Industry Experience

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Hard Skills

Artificial IntelligenceAdvanced AnalyticsAI GovernanceModel EvaluationCloud TechnologiesAI SecurityMachine LearningData ScienceFraud DetectionKYC/AML

Soft Skills

Business AcumenThought LeadershipMentoringStrategic DirectionClient Engagement

Tools & Technologies

Agentic AIAI CopilotsMulti-Agent SystemsCloud-Native GenAI PlatformsAI Orchestration FrameworksDelivery PlaybooksReference ArchitecturesRAG SolutionsEnterprise AI PlatformsObservability

Certifications & Qualifications

Azure AI CertificationGenerative AI CertificationMachine Learning CertificationSolution Architecture CertificationResponsible AI Certification

Industry Keywords

BankingRisk ManagementCompliance MonitoringCustomer ExperienceInvestment ResearchWealth ManagementOperations TransformationFraud PreventionCredit RiskRelationship Management

Tech Stack

Tools & technologies

AzureCloud

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

15+ years of experience in Artificial Intelligence, Generative AI, Agentic AI, Advanced Analytics, AI architecture, and enterprise technology transformation
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
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.

Benefits

Comp & perks

Competitive salary
Flexible working hours
Professional development budget
Home office setup allowance
Global team events