Technical Program Manager

We are looking for an experienced Technical Program Manager (TPM) to take end-to-end ownership of multiple concurrent software and technology projects, ensuring successful delivery across technology, people, processes, client expectations, and commercials. This is a technically driven program and delivery leadership role, not purely project coordination. The ideal candidate should have a strong software engineering/technical background, sound understanding of modern application architecture and cloud technologies, and proven experience managing multiple projects, cross-functional teams, and client engagements. Experience in AI/ML, Generative AI, LLM, Agentic AI, or AI-enabled project delivery will be an added advantage. Key Responsibilities Own the end-to-end delivery of multiple projects/programs, from requirements, estimation and planning through development, UAT, deployment, and support transition. Manage scope, timelines, resources, budgets, dependencies, risks, quality, and delivery commitments across concurrent projects. Work closely with Architects and Technical Leads on solution design, estimations, architecture, integrations, and technology decisions. Review and challenge technical approaches to ensure solutions are scalable, secure, maintainable, and aligned with business requirements. Lead cross-functional teams including Developers, Technical Leads, Architects, QA, DevOps, UI/UX, BA, AI/ML Engineers, and other specialists. Drive Agile/Scrum delivery, sprint/release planning, program governance, RAID management, and management reporting. Act as a key client interface for technical discussions, governance, status reviews, delivery commitments, and escalations. Proactively manage scope changes, delivery risks, dependencies, resource constraints, and client escalations. Monitor project/program financials including planned vs. actual effort, resource utilization, billing milestones, budgets, and delivery margins. Ensure adherence to engineering practices including code reviews, CI/CD, testing, security, documentation, release management, and production readiness. Support pre-sales activities including requirement analysis, solution discussions, estimations, resource planning, SOWs, and technical proposals. Mentor Project Managers, Technical Leads, and senior team members while driving accountability, delivery discipline, and continuous improvement. Technical Competencies The candidate is not expected to code on a daily basis, but must be technicallystrong enough to understand, evaluate, and challenge engineering decisions. Strong understanding of Modern software development lifecycle and engineering practices Web and enterprise application architecture APIs, microservices, system integrations, and databases Cloud platforms such as AWS, Azure, or GCP DevOps, CI/CD, Git, containerization, and deployment processes Application security, performance, scalability, and production monitoring Agile/Scrum methodologies Exposure to AI/ML, Generative AI, LLMs, RAG, Agentic AI, or AI-based solution delivery is an advantage Familiarity with AI tools, platforms, APIs, or frameworks such as OpenAI/Azure OpenAI, Gemini, Claude, LangChain, LlamaIndex, Hugging Face, or similar technologies is an added advantage Experience with technology stacks such as Java, .NET, Python, Node.js, PHP, ColdFusion, React, Angular, Vue, mobile technologies, or similar enterprise stacks will be advantageous. Experience with technology stacks such as Java, .NET, Python, Node.js, PHP, ColdFusion, React, Angular, Vue, mobile technologies, or similar enterprise stacks will be advantageous.