DE&A - AIML - Data Science - Machine Learning

AI Project Manager

Experience: 10–15 Years

Location: Pune / Bengaluru / Hyderabad

Looking for a workplace where people realize their full potential, are recognized for the impact they make, and enjoy the company of the peers they work with? Welcome to Zensar! Read on for more details on the role and about us.

What's this role about?

We are seeking an experienced AI Project Manager to lead the delivery and governance of enterprise-scale AI, Generative AI, and Agentic AI initiatives. The ideal candidate will be responsible for managing end-to-end AI program execution, stakeholder engagement, project planning, delivery governance, and cross-functional team coordination to ensure successful deployment of AI-driven business solutions.

The role requires close collaboration with business stakeholders, customers, AI architects, data scientists, AI engineers, platform teams and delivery leadership to translate business objectives into deliverable AI solutions. The candidate should possess strong experience managing GenAI, Machine Learning, Agentic AI, RAG-based applications, AI platform implementations and enterprise AI transformation programs while ensuring delivery excellence, risk management, quality, and customer success.

Skills required to contribute:

Required Skills

• 10+ years of overall IT experience with at least 4–6 years of project/ program management experience in AI, Data Science, Analytics or Digital Transformation initiatives.
• Proven experience managing AI/ML, Generative AI, Agentic AI and Data & Analytics projects from inception to production deployment.
• Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Conversational AI, and enterprise AI use cases.
• Experience managing cross-functional teams comprising AI Architects, Data Scientists, AI Engineers, MLOps Engineers and Business Analysts.
• Expertise in project planning, estimation, resource management, budgeting, tracking and governance.
• Experience in Agile, Scrum, Kanban and iterative delivery methodologies.
• Strong customer-facing experience, including stakeholder management, project reviews, executive reporting and steering committee presentations.
• Ability to drive AI discovery workshops, requirements gathering, solution planning and roadmap definition.
• Experience managing risks, dependencies, change requests and delivery escalations across multiple workstreams.
• Familiarity with AI lifecycle activities including data preparation, model development, evaluation, deployment, observability, governance and monitoring.
• Understanding of Responsible AI, AI governance, security, compliance and enterprise adoption considerations.
• Experience coordinating cloud-based AI implementations on Azure, AWS, or Google Cloud Platform.
• Strong communication, leadership, negotiation and team management skills.
• Ability to manage multiple projects and customer engagements simultaneously while ensuring quality delivery and business outcomes.

Good to Have

• Experience managing GenAI, Copilot, Knowledge Assistant, Chatbot or AI Agent implementations.
• Familiarity with Agentic AI frameworks such as LangChain, LangGraph or similar platforms.
• Exposure to MLOps, AI observability, model monitoring and AI governance tools.
• Experience with Azure AI Foundry, AWS Bedrock, Google Vertex AI or similar AI platforms.
• AI-related certifications or Project Management certifications such as PMP, PRINCE2, Scrum Master etc
• Domain experience in Retail, Banking, Insurance, Manufacturing, Healthcare or Consumer Goods sectors.

Educational Qualification

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or a related field.
• MBA or Project Management certifications would be an added advantage.

Qualifications

Educational Qualification

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or a related field.
• MBA or Project Management certifications would be an added advantage.

Responsibilities

What's this role about?

We are seeking an experienced AI Project Manager to lead the delivery and governance of enterprise-scale AI, Generative AI, and Agentic AI initiatives. The ideal candidate will be responsible for managing end-to-end AI program execution, stakeholder engagement, project planning, delivery governance, and cross-functional team coordination to ensure successful deployment of AI-driven business solutions.

The role requires close collaboration with business stakeholders, customers, AI architects, data scientists, AI engineers, platform teams and delivery leadership to translate business objectives into deliverable AI solutions. The candidate should possess strong experience managing GenAI, Machine Learning, Agentic AI, RAG-based applications, AI platform implementations and enterprise AI transformation programs while ensuring delivery excellence, risk management, quality, and customer success.

Skills required to contribute:

Required Skills

• 10+ years of overall IT experience with at least 4–6 years of project/ program management experience in AI, Data Science, Analytics or Digital Transformation initiatives.
• Proven experience managing AI/ML, Generative AI, Agentic AI and Data & Analytics projects from inception to production deployment.
• Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Conversational AI, and enterprise AI use cases.
• Experience managing cross-functional teams comprising AI Architects, Data Scientists, AI Engineers, MLOps Engineers and Business Analysts.
• Expertise in project planning, estimation, resource management, budgeting, tracking and governance.
• Experience in Agile, Scrum, Kanban and iterative delivery methodologies.
• Strong customer-facing experience, including stakeholder management, project reviews, executive reporting and steering committee presentations.
• Ability to drive AI discovery workshops, requirements gathering, solution planning and roadmap definition.
• Experience managing risks, dependencies, change requests and delivery escalations across multiple workstreams.
• Familiarity with AI lifecycle activities including data preparation, model development, evaluation, deployment, observability, governance and monitoring.
• Understanding of Responsible AI, AI governance, security, compliance and enterprise adoption considerations.
• Experience coordinating cloud-based AI implementations on Azure, AWS, or Google Cloud Platform.
• Strong communication, leadership, negotiation and team management skills.
• Ability to manage multiple projects and customer engagements simultaneously while ensuring quality delivery and business outcomes.