Project Manager with Agentic AI

We are looking for an experienced Project Manager to lead AI-driven initiatives using Agentic AI and Agile delivery methodologies. The role bridges business stakeholders and technical teams, ensuring AI projects are delivered on time, within scope, and aligned with business objectives.

The ideal candidate has strong project management experience in AI or data-driven projects, can manage cross-functional teams, and ensures adherence to Agile practices.

Key Responsibilities

• Lead end-to-end delivery of Agentic AI and AI/ML projects from discovery to deployment and monitoring.
• Plan, prioritize, and track Agile sprints, backlogs, and project milestones.
• Collaborate with business stakeholders to define project scope, objectives, KPIs, and success metrics.
• Ensure AI solutions comply with Responsible AI principles: fairness, explainability, and governance.
• Manage project risks, resources, budgets, and timelines effectively.
• Facilitate cross-functional collaboration between AI engineers, data scientists, and business teams.
• Implement process improvements to optimize AI project delivery, integrating Agile and MLOps principles.
• Support change management, adoption, and training for AI-driven workflows.
• Maintain executive-level communication on project status, risks, and value delivered.

Qualifications & Skills

• Bachelor’s or Master’s in Computer Science, IT, Business, or related fields.
• 6–12 years of project management experience, preferably in AI, ML, or data analytics projects.
• Strong understanding of Agile methodologies (Scrum, Kanban, SAFe).
• Experience managing Agentic AI, Generative AI, or LLM-driven initiatives.
• Familiarity with AI frameworks, MLOps tools (MLflow, Kubeflow, Airflow), and cloud platforms (AWS, Azure, GCP).
• Proven ability to manage cross-functional teams and multiple stakeholders.
• Strong analytical, problem-solving, and communication skills.
• Scrum Master certification (CSM, PSM) is a plus.
• Knowledge of AI governance, compliance, and Responsible AI practices.