Lead end-to-end delivery of AI/ML models, data pipelines, and full-stack cloud-native applications. Drive program strategy, roadmaps, architecture reviews, Agile execution, and cross-team collaboration to move models from prototype to production while reporting KPIs and ensuring reliability, security, and cost-efficiency.
Job Title: Technical Program Manager
About the Role
As a Technical Program Manager (TPM), you will lead a dynamic team of AI engineers and full stack developers - to design, develop, and deliver scalable AI-driven products and web applications. You will own the end-to-end execution of technical programs, from planning and architecture to deployment and optimization, ensuring alignment with strategic business goals.
Key Responsibilities
- Lead the design, development, and delivery of AI/ML models, data pipelines, and full-stack applications.
- Drive program strategy, planning, and execution across multiple AI and software engineering initiatives.
- Partner with Data Science, Cloud Infrastructure, and Product Management teams to define program objectives and success metrics.
- Oversee architecture reviews, POCs, and solution scalability for AI and application systems.
- Define, manage, and communicate project roadmaps, milestones, risks, and dependencies.
- Facilitate Agile ceremonies (Scrum/SAFe) and ensure adherence to best practices.
- Mentor and empower engineering teams to improve delivery velocity, collaboration, and innovation.
- Track and report on program KPIs, resource utilization, and delivery health to executive leadership.
- Foster collaboration between AI research and engineering teams to move models from prototype to production.
- Ensure cloud-based deployments (AWS/Azure/GCP) meet standards for reliability, security, and cost-efficiency.
What We’re Looking For
- 7–10 years of experience in Technical Program Management or related roles.
- Strong background managing AI/ML or data-centric engineering teams.
- Proven experience delivering cloud-native applications and AI/ML solutions in production.
- Understanding of Python-based full-stack frameworks (e.g., Django, FastAPI, React/Node.js).
- Familiarity with AI/ML tools and workflows (e.g., TensorFlow, PyTorch, MLOps, model deployment).
- Hands-on experience with AWS and/or Azure cloud ecosystems.
- Deep knowledge of Agile/SAFe methodologies; certified Scrum Master or PMP preferred.
- Excellent communication, stakeholder management, and problem-solving skills.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
Preferred Qualifications
- Experience leading multi-disciplinary teams (AI, software, DevOps, data engineering).
- Understanding of MLOps pipelines, CI/CD, and API-driven architectures.
- Exposure to data governance, security, and compliance frameworks.
- Passion for innovation, emerging AI technologies, and scalable architecture design.
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
