Technical Program Manager – AI

About the Role The Technical Program Manager owns delivery of Antier's AI engagements end to end, technically and functionally. This is a hands-on engineering leadership role, not a project coordination role: the person owns the technical design, approves architecture before build, works on the hardest problems, and runs delivery across multiple concurrent engagements through to handover. Key Responsibilities ● Own the technical design across engagements – architecture, model approach, data, integration and deployment. ● Review and approve every solution design before build starts and reject approaches that will not scale or hold up in production. ● Work hands-on on the hardest problems and unblock teams technically. ● Set and enforce engineering standards: code quality, testing, documentation, release and deployment. ● Evaluate models, frameworks and tools, and decide what the division adopts. ● Own end-to-end delivery of concurrent engagements: plan, milestones, dependencies, resourcing and schedule. ● Identify technical and delivery risks early and drive them to resolution. ● Allocate engineering capacity across engagements, and lead and mentor the teams. ● Own requirement and acceptance quality, working with the BA team, so that what is built solves the client's actual problem. ● Manage scope changes through change control, with revised effort and timeline. ● Act as the technical and delivery counterpart to the client, and report project health to division leadership. Experience and Skills Essential ● Engineering or technical academic background – B.Tech, BE, MCA, MSc or equivalent. Business, management or sales profiles are not suitable. ● Minimum 8 years overall, with at least 4 years building and shipping AI or ML systems. ● Currently hands-on: writes and reviews code, owns architecture, and can take the hardest problem on a project themselves. ● Deep practical knowledge of AI and ML: model development and evaluation, generative AI and LLM-based systems, RAG, computer vision, and the data engineering behind them. ● Strong software engineering fundamentals and production deployment experience across cloud and on-premise, including MLOps and release management. ● At least 3 years running delivery across multiple teams or concurrent projects, including estimation, resourcing and schedule ownership. ● Experience leading engineering teams and working directly with clients through delivery. ● Excellent communication, spoken and written, across technical and business audiences. Preferred ● Delivery experience with enterprise clients in India, GCC, UK or Europe. ● Experience with on-premise or regulated-environment AI systems, IoT or industrial data platforms.