Technical Project Manager

Role Overview

As a Technical Project Manager, you will be responsible for planning, coordinating, and delivering complex AI/ML and cloud-native solutions across multiple clients. You will work closely with engineering, product, and client teams to ensure outcomes are delivered on time, within scope, and with high quality. This is a hands-on leadership role for someone who can design delivery blueprints, steer execution under ambiguity, and manage crises with composure.

Key Responsibilities

Project Ownership: Manage end-to-end project delivery from scoping to deployment and post-launch support across AI/ML, DevOps, or software engineering engagements.

Solution Design: Translate business problems into solution blueprints. Work with technical leads to ensure detailed technical architecture aligns with design goals.

Execution Leadership: Ensure the team follows delivery best practices including Agile or hybrid models. Monitor sprint performance, mitigate risks, and maintain delivery cadence.

Stakeholder Communication: Act as the primary communication bridge between clients and internal teams. Present updates, handle escalations, and ensure client satisfaction.

Technology Awareness: Stay updated with emerging GenAI, ML Ops, automation, and DevOps trends. Actively bring in new practices and ideas to improve delivery.

Crisis Management: Step in during escalations or delivery slippages. Replan, reassign, and realign teams to bring execution back on track quickly and calmly.

Mandatory Qualities

Hard Working: Willing to go the extra mile when needed, especially in client-facing high-stakes environments.

Inquisitive: Passionate about learning new technologies, especially in AI/GenAI, and applying them to real-world problems.

Execution-Oriented: Strong at following through on delivery commitments and aligning teams to the design plan.

Excellent Communicator: Able to clearly explain complex ideas and maintain clarity with multiple stakeholders.

Crisis-Ready Leader: Proven ability to handle ambiguity, firefight during challenges, and bring stability to teams under pressure.

Preferred Qualifications

• Background in AI/ML or DevOps project environments
• Prior experience in IT services or consulting roles
• Familiarity with Agile, Kanban, and DevOps practices
• Engineering background (B.Tech/MCA) preferred

Why Join Us

• Work with cutting-edge technologies like GenAI, MLOps, and AI agents
• Drive real transformation across sectors like BFSI, healthcare, and manufacturing
• Collaborative and entrepreneurial team culture
• Opportunity to grow into leadership roles across delivery and strategy