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EY

Tech S and T – AI/ML Manager

EY

EY AI/ML Manager leading enterprise AI transformation and Generative AI consulting engagements. Managing delivery teams, architectures, governance, and client strategy.

Posted 9/4/2026full-timeBengaluru • 🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading AI strategy and transformation initiatives, with a strong focus on AI/ML, Generative AI, and analytics. Proven ability to manage cross-functional teams and deliver scalable AI solutions aligned with business objectives.

Highest-signal resume keywords
AI Strategy DevelopmentGenerative AI ExpertiseMLOps ManagementCloud AI Platforms ExperienceData Science and Advanced Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Artificial IntelligenceMachine LearningGenerative AIPredictive ModelingAI Agent FrameworksAnalytics TransformationAI GovernanceDigital TransformationCloud AIResponsible AI
Soft Skills
Executive-Level CommunicationStakeholder ManagementConsulting SkillsMentoringTeam Leadership
Tools & Technologies
Azure AIAWS AIGoogle Cloud AIAzure AI FoundryAzure OpenAICopilot Technologies
Certifications & Qualifications
Advanced AI CertificationData Science CertificationCloud AI CertificationEnterprise Architecture Certification
Industry Keywords
AI Transformation ProgramsBusiness Objectives AlignmentSolution DeliveryRisk ManagementCompliance Requirements

Tech Stack

Tools & technologies
AWSAzureCloud

About the role

Key responsibilities & impact
  • Lead AI strategy, assessment, and transformation engagements for enterprise clients across multiple industries
  • Define AI vision, adoption roadmaps, governance frameworks, and operating models aligned with business objectives
  • Manage the end-to-end lifecycle of AI/ML and Generative AI programs from discovery and use-case identification through implementation and value realization
  • Design scalable AI architectures including machine learning platforms, GenAI ecosystems, AI Agents, and enterprise knowledge solutions
  • Drive AI modernization initiatives involving analytics transformation, intelligent automation, copilots, and domain-specific AI applications
  • Manage delivery teams comprising data scientists, ML engineers, AI engineers, architects, and developers
  • Advise client leadership by presenting AI strategies, business cases, operating models, and transformation roadmaps
  • Ensure solution quality, governance compliance, risk management, and successful program execution
  • Support business development through proposal creation, solution estimation, client presentations, and AI capability demonstrations
  • Mentor team members and establish best practices across AI engineering, MLOps, Responsible AI, and solution delivery

Requirements

What you’ll need
  • 7–12 years of overall IT experience with significant experience in AI/ML, Generative AI, analytics, and digital transformation programs
  • Proven experience leading large-scale AI/ML transformation initiatives and enterprise AI/ML solution deployments
  • Expertise in Artificial Intelligence and Machine Learning
  • Expertise in Generative AI and Large Language Models (LLMs)
  • Expertise in AI Agent frameworks and autonomous workflows
  • Expertise in Data Science, Advanced Analytics, and Predictive Modeling
  • Experience with cloud AI platforms such as Azure AI, AWS AI, or Google Cloud AI
  • Experience with MLOps, AI governance, and production AI operations
  • Experience in AI strategy, assessment methodologies, and transformation planning
  • Experience managing cross-functional technical teams and delivering multiple concurrent engagements
  • Understanding of Responsible AI, model governance, security, privacy, and compliance requirements
  • Ability to translate business challenges into AI-driven solutions with measurable business outcomes
  • Executive-level communication, stakeholder management, and consulting skills
  • Experience in estimation, solutioning, account growth, and practice development initiatives
  • Advanced certifications in AI, Data Science, Cloud AI, or Enterprise Architecture are advantageous
  • Experience with Azure AI Foundry, Azure OpenAI, Copilot technologies, and enterprise GenAI platforms is advantageous
  • Exposure to industry-specific AI transformation programs
  • Thought leadership through whitepapers, accelerators, reusable assets, AI frameworks, or innovation initiatives

Benefits

Comp & perks
  • Competitive salary
  • Inclusive culture
  • Technology and support to build a career
  • Opportunities for professional development through mentoring and establishing AI best practices