Technical Project Manager

Technical Project Manager – AI Automation Solutions & Client Delivery

Location:

Duration: Full Time

working times 2.00 PM to 11.00 PM IST

About the Role:

Technical Project Manager

high-impact AI solutions

Key Responsibilities:

• Manage end-to-end project delivery for AI automation solutions (Conversational AI, Generative AI, Agent AI, Automation AI) across multiple global clients.
• Lead project planning, resource allocation, risk management, and execution to meet scope, timeline, and budget commitments.
• Serve as the primary

  client point of contact

  , ensuring clear communication and excellent relationship management throughout the project lifecycle.
• Collaborate with Business Analysts, Solution Architects, and Developers to align project goals with technical solutions.
• Facilitate regular status meetings, workshops, and steering committees with client stakeholders and internal teams.
• Identify project risks and issues proactively; develop and execute mitigation plans.
• Track project KPIs (delivery milestones, performance metrics, adoption targets) and report progress to internal leadership and client executives.
• Ensure all project documentation (SOWs, change requests, meeting notes, post-implementation reviews) is up to date and complete.
• Drive continuous improvement initiatives and capture lessons learned for future projects.
• Stay informed of the latest trends in Conversational AI, Generative AI, and automation technologies to provide insights and guidance to clients.

Key Deliverables:

• Project Plan:

  Comprehensive plan with detailed timelines, milestones, and resource allocation.

• RAID Logs (Risks, Assumptions, Issues, Dependencies):

  Regularly updated risk management logs.

• Status Reports:

  Weekly/bi-weekly reports shared with internal and client stakeholders.

• Meeting Agendas & Minutes:

  Organized documentation of key discussions and decisions.

• Change Requests:

  Document and manage scope changes with clear impact analysis.

• Quality & Performance Reviews:

  Ensure AI solutions meet client SLAs and performance metrics.

• Project Closure & Post-Implementation Review:

  Capture lessons learned and document success metrics.

• Client Satisfaction Surveys:

  Gather and analyze client feedback post-project delivery.

Qualifications:

• 7+ years of experience in

  Technical Project Management

  delivering

  enterprise technology solutions

  .
• 2+ years of experience managing projects in

  AI Automation

  (Conversational AI, Generative AI, RPA, Intelligent Automation) is highly preferred.
• Strong understanding of platforms like

  Kore.ai, Google Dialogflow, Microsoft Azure AI, IBM Watson, UiPath, Automation Anywhere, or equivalent.