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Job Description & How to Apply Below
AI Project Manager
Experience:
10-15+ years
Candidate experience and seniority
AI/GenAI project experience
Technical expertise
Client-facing responsibilities
We are looking for an experienced AI Project Manager to lead the planning, execution, and delivery of AI/ML projects. The ideal candidate will have strong project management skills along with a good understanding of AI technologies, data, software development, and cross-functional team coordination.
The candidate will work closely with business stakeholders, AI/ML engineers, data scientists, developers, and external vendors to ensure projects are delivered on time, within scope, and according to quality expectations.
Required Skills
8+ years of project/program management experience.
5+ Experience managing technology, AI/ML, data, or software projects.
PMP, PMI-ACP, Scrum Master, or equivalent certification.
Experience delivering Generative AI/LLM projects. Good understanding of AI/ML concepts, GenAI, LLMs, APIs, and cloud technologies.
Experience working with enterprise clients and distributed/remote teams.
Technical background in software engineering, data, or AI is a plus.
Experience with AWS, Azure, or Google Cloud.
Experience with project management tools such as Jira, Confluence, Azure Dev Ops, or similar.
Ability to manage multiple projects, priorities, and cross-functional teams.
Strong stakeholder and vendor management skills.
Excellent communication, documentation, and presentation abilities.
Key Responsibilities
Manage end-to-end delivery of AI/ML projects from requirements through production.
Define project scope, milestones, timelines, deliverables, and dependencies.
Coordinate AI engineers, data scientists, developers, QA teams, and business stakeholders.
Track project progress, risks, issues, budgets, and resource requirements.
Work with stakeholders to gather and document business and technical requirements.
Coordinate development and deployment of AI/GenAI solutions.
Manage vendors and third-party technology partners where required.
Ensure project documentation, reporting, and governance are maintained.
Identify project risks and proactively develop mitigation plans.
Facilitate project meetings, status reviews, sprint planning, and stakeholder updates.
Ensure deliverables meet agreed quality, security, and compliance requirements.
Communicate project status and key decisions clearly to senior management.
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