Project Coordinator II

Project Coordinator

This role will assist in coordinating project activities, tracking deliverables, organizing internal workflows, and ensuring timely communication across teams.You will play a key role in supporting the AI delivery team and institutionalizing project knowledge, while enabling smoother and more consistent project execution.

Key Responsibilities

Project Coordination & Execution Support

• Assist in managing the day-to-day operations of GenAI project delivery.
• Track project timelines, deliverables, and milestones using project tracking tools.
• Schedule and coordinate meetings between engineers, internal teams, and client POCs.
• Support onboarding of new team members into client projects.
• Monitor progress and flag risks, delays, or blockers to the AI Head or Project Manager.

Documentation & Knowledge Management

• Maintain structured documentation for each project, including objectives, constraints, and workflows.
• Assist in creating reusable templates and standard checklists for recurring project tasks.
• Organize and update knowledge repositories including prompt workflows, onboarding kits, and evaluation logs.

Internal Communication & Reporting

• Prepare weekly status updates and basic reports for internal and client stakeholders.
• Coordinate internal standups, enablement sessions, and retrospective meetings.
• Support demos and presentations by gathering required materials and progress data.

Process Improvement Support

• Identify recurring coordination challenges and suggest improvements.
• Contribute to refining project tracking processes and SOPs over time.

Required Qualifications

• 3 to 5 years of experience in a coordination, project support, or junior project management role, preferably in a tech or consulting environment.
• Exposure to AI/ML projects or interest in the GenAI domain is a strong advantage.
• Excellent organizational and communication skills.
• Familiarity with tools like Notion, Confluence, Jira, or similar platforms.
• Comfortable managing documentation and handling multiple priorities simultaneously.

Preferred Qualifications

• Basic understanding of software delivery lifecycle or AI workflows.
• Experience working with cross-functional teams (engineering, design, client stakeholders).
• Awareness of AI/ML terms, use cases, and prompt engineering concepts is a plus.

Why Join Us

• Work closely with leading AI engineers and industry experts.
• Get hands-on exposure to cutting-edge GenAI use cases across industries.
• Contribute to high-impact AI solutions while growing in a dynamic and future-focused team.