Tech S and T-AI Architect-ISR-Manager-GDSF02

Ernst & Young Advisory Services Sdn Bhd; Dadri; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

EY is seeking an experienced Manager to lead AI/ML and Generative AI consulting engagements, drive enterprise AI transformation programs, and manage end-to-end delivery of AI solutions.

The ideal candidate will combine strong technical expertise with leadership, stakeholder management, business development, and solution strategy capabilities. You will mentor teams, shape governance models, and collaborate with client leadership to present AI strategies and roadmaps.

Qualifications

• 7–12 years of IT experience with AI/ML and analytics.
• Experience leading large-scale AI/ML transformation initiatives and deployments.
• Experience managing cross-functional technical teams and multiple engagements.
• Strong executive communication and consulting skills.

Responsibilities

• Lead AI strategy, assessment, and transformation engagements for enterprise clients.
• Define AI vision, adoption roadmaps, governance, and operating models.
• Manage end-to-end AI/ML and GenAI programs from discovery to value realization.
• Design scalable AI architectures including ML platforms and GenAI ecosystems.
• Drive modernization initiatives involving analytics, automation, copilots, and domain AI apps.
• Manage delivery teams of data scientists, ML engineers, architects, and developers.
• Present AI strategies and roadmaps to client leadership as trusted advisor.
• Ensure governance, risk management, and successful program execution.
• Support business development with proposals, demos, and client presentations.
• Mentor team members and establish best practices in AI engineering and MLOps.

Skills

AI strategy

Stakeholder management

Leadership

Business development

Solution architecture

Executive communication

Tools

Azure AI

AWS AI

Google Cloud AI

Job description

Tech S and T-AI Architect-ISR-Manager-GDSF02

Location: Noida

Other locations: Anywhere in Country

Job Title: Manager – AI/ML

Experience: 7–12 Years

Job Summary

We are looking for an experienced Manager to lead AI/ML and Generative AI consulting engagements, drive enterprise AI transformation programs, and manage end-to-end delivery of AI solutions. The ideal candidate will combine strong technical expertise with leadership, stakeholder management, business development, and solution strategy capabilities.

Key Responsibilities

• 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.
• Provide leadership in designing 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.
• Act as a trusted advisor to 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 activities including 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.

Required Skills & Experience

• 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.
• Strong expertise in:
• Artificial Intelligence and Machine Learning
• Generative AI and Large Language Models (LLMs)
• AI Agent frameworks and autonomous workflows
• Data Science, Advanced Analytics, and Predictive Modeling
• Cloud AI platforms such as Azure AI, AWS AI, or Google Cloud AI
• MLOps, AI governance, and production AI operations
• Demonstrated experience inAI strategy, assessment methodologies, and transformation planning.
• Experience managing cross-functional technical teams and delivering multiple concurrent engagements.
• Strong understanding of Responsible AI, model governance, security, privacy, and compliance requirements.
• Ability to translate business challenges into AI-driven solutions with measurable business outcomes.
• Excellent executive-level communication, stakeholder management, and consulting skills.
• Strong experience in estimation, solutioning, account growth, and practice development initiatives.

Good to Have

• Advanced certifications in AI, Data Science, Cloud AI, or Enterprise Architecture.
• Experience with Azure AI Foundry, Azure OpenAI, Copilot technologies, and enterprise GenAI platforms.
• Exposure to industry-specific AI transformation programs
• Thought leadership through whitepapers, accelerators, reusable assets, AI frameworks, or innovation initiatives.

EY | Building a better working world

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EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.