Role Overview
As a Technical Project Manager, you will be responsible for planning, coordinating, anddelivering complex AI/ML and cloud-native solutions across multiple clients. You will workclosely 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 candesign 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.Role OverviewAs a Technical Project Manager, you will be responsible for planning, coordinating, anddelivering complex AI/ML and cloud-native solutions across multiple clients. You will workclosely 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 candesign 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
- 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
Skills: ai/ml,agents,agile,crisis management,project,design,teams,solution design,communication,devops,leadership,technology awareness,project management,ml