Tech S and T – AI/ML Manager

Jobtailor

Bengaluru

On-site

INR 900,000 - 1,500,000

Full time

4 days ago

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Job summary

Jobtailor in Bengaluru seeks a Senior AI Strategy Lead to drive enterprise AI transformations across industries. You will define adoption roadmaps, governance, and operating models aligned with business goals, and manage end-to-end AI/ML programs from discovery to value realization.

The role requires leading multi-disciplinary teams of data scientists and ML engineers, advising leadership, and ensuring governance and risk management across projects.

Qualifications

7–12 years of IT experience with significant AI/ML and digital transformation work.
Proven leadership of large-scale AI/ML transformation initiatives.
Expertise in Artificial Intelligence, Machine Learning, and Generative AI.
Experience with cloud AI platforms (Azure, AWS, Google Cloud).
Experience with MLOps, AI governance, and production AI operations.
Executive-level communication and stakeholder management.
Cross-functional team leadership and multi-engagement delivery.
Advanced certifications in AI or Cloud AI advantageous.

Responsibilities

Lead AI strategy, assessment, and transformation engagements for enterprise clients.
Define AI vision, adoption roadmaps, and governing frameworks aligned with business objectives.
Manage end-to-end AI/ML programs from discovery to value realization.
Design scalable AI architectures including GenAI ecosystems and enterprise knowledge solutions.
Drive modernization initiatives involving analytics transformation and intelligent automation.
Manage delivery teams of data scientists and ML engineers.
Advise client leadership with strategies, business cases, and transformation roadmaps.
Ensure governance, risk management, and successful program execution.
Support business development with proposals, client demos, and capability showcases.
Mentor teams and establish best practices in AI engineering and MLOps.

Skills

AI Strategy Development

Generative AI Expertise

MLOps Management

Cloud AI Platforms Experience

Data Science and Advanced Analytics

Analytics Transformation

AI Governance

Responsible AI

Executive-Level Communication

Stakeholder Management

Consulting Skills

Mentoring

Team Leadership

Education

Advanced AI Certification

Data Science Certification

Cloud AI Certification

Enterprise Architecture Certification

Tools

Azure AI

AWS AI

Google Cloud AI

Azure AI Foundry

Azure OpenAI

Copilot Technologies

Job description

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

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

Core Competencies

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.

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