Justification/Plan: Project Manager With AI Project Handling Experience on Contract for 3 Months with an extension of 3 months subject to approval

: Project Manager AI Projects

Role Overview:

We are looking for an experienced Project Manager to lead end-to-end delivery of AI/GenAI initiatives and technology projects. You will manage cross-functional teams, drive project execution in Agile environments, and ensure projects are delivered on time, within scope and budget, while achieving measurable business outcomes.

The role requires a strong understanding of AI project lifecycles, data dependencies, model development, integrations and responsible AI practices.

Key Responsibilities:

- Plan and deliver projects: Own end-to-end planning and delivery of AI/GenAI and technology projects from initiation to closure.
- Lead project ceremonies: Facilitate Agile ceremonies including sprint planning, daily stand-ups, reviews, retrospectives and stakeholder governance.
- Manage teams and stakeholders: Lead and coordinate cross-functional teams including AI/ML engineers, developers, data engineers, QA, UX and business stakeholders.
- Define and track plans: Translate business objectives into project plans, milestones, deliverables, timelines, budgets and resources.
- Manage AI project dependencies: Oversee AI-specific dependencies such as data availability/quality, model development, experiments, integrations, testing, deployment and adoption.
- Monitor and control: Track scope, schedule, cost, quality, risks, issues and dependencies; ensure proactive mitigation and timely resolution.
- Collaborate with AI teams: Work closely with data scientists,



ML engineers and architects to track model development, evaluation, validation and production readiness.
- Governance and reporting: Maintain RAID logs, dashboards, status reports and other project artifacts; communicate progress, risks and escalations to stakeholders and leadership.
- Ensure quality and compliance: Ensure adherence to organizational processes, security, data privacy, compliance and responsible AI guidelines.
- Drive continuous improvement: Identify opportunities for process improvement and optimize delivery practices and tools.
- Handover and adoption: Ensure smooth transition to operations, knowledge transfer and post-go-live support.

AI / GenAI Project Management Skills:

- Understanding of AI/ML and Generative AI project lifecycle and delivery methodology.
- Experience managing AI use cases such as GenAI applications, AI assistants, chatbots, automation, RAG or AI-enabled business solutions.
- Understanding of AI project dependencies including data, LLM/model selection, APIs, integrations, evaluation, security and deployment.
- Ability to work closely with AI/ML engineers, data scientists, architects and business teams.
- Understanding of AI model evaluation, accuracy, hallucination,



prompt engineering and RAG concepts at a project-management level.
- Awareness of Responsible AI, data privacy, security, governance and AI risk management.
- Ability to define AI project milestones, acceptance criteria, KPIs and business-value measurements.

Required Experience & Qualifications:

- 10+ years of overall experience in IT project management.
- Proven experience delivering complex technology projects in Agile and/or Waterfall environments.
- Experience managing cross-functional technical teams and multiple stakeholders.
- Robust skills in project planning, estimation, scheduling, risk management and issue resolution.
- Experience with project management tools such as JIRA, Azure DevOps/TFS, Asana or equivalent.
- Strong communication, presentation and stakeholder management skills.
- Certifications such as PMP, CSM, SAFe Agilist or equivalent are preferred.
- Experience in AI/GenAI or data-driven projects is a strong advantage.

Key Success Measures:

- Projects delivered on time, within budget and within scope.
- Effective management of AI-specific technical and business risks.
- Successful transition of AI solutions from development to production.
- Stakeholder satisfaction and governance effectiveness.
- Achievement of agreed AI/business outcomes and adoption KPIs.

Tools & Technologies Exposure: JIRA | Azure DevOps/TFS | Asana | Confluence | MS Teams | Power BI (Reporting) | SQL | APIs | Cloud Platforms

Work Model:

Hybrid / On-site as per project and organizational requirement.

Additional Remarks: The initial requirement is for 3 months to be extended for another 3.

📌 Project Manager - AI/GenAI Project (Pune)
🏢 Futran Tech Solutions
📍 Pune