Tech S and T-AI-ML Manager-GDSN02

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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 in AI 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.‌

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