Technical Program Manager

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! About Quantiphi: Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead. Headquartered in Boston, with 4,000+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we’ve been recognized with: 17x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit : Website or LinkedIn Page . Roles and Responsibilities: Define and drive the Gen AI COE roadmap, ensuring alignment with business objectives. Develop and execute project plans for AI infrastructure setup, fine-tuning open-source LLMs, Q&A bot UI, and natural language querying. Establish and track KPIs, SLAs, and success metrics for AI-driven solutions. Ensure on-time delivery, scope adherence, and risk mitigation in AI projects. Lead cross-functional teams (ML engineers, software engineers, DevOps, data scientists) for effective AI execution. Act as a trusted advisor to enterprise clients, ensuring continuous value delivery and adoption of Gen AI solutions. Identify opportunities for expansion and additional AI services. Manage stakeholder relationships and set clear expectations for AI project outcomes. Facilitate Agile ceremonies and collaborate with engineering, MLOps, and product teams for seamless AI development. Coordinate infrastructure provisioning, model deployment, and performance optimization with DevOps. Maintain and refine technical documentation, backlogs, and sprint reports. Oversee AI model deployment on cloud platforms (AWS, GCP, Azure) ensuring scalability, security, and cost optimization. Guide teams on AI pipeline automation, CI/CD for ML models, and ML governance best practices. Ensure regulatory compliance and data privacy adherence in AI-driven HCLS solutions. Required Skills: Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related technical field. 10+ years in technical program management, AI/ML product delivery, or cloud-based AI solutions. Deep understanding of AI/ML infrastructure (training & inference). Proficiency in cloud AI platforms (AWS SageMaker or GCP Vertex AI or Azure ML). Knowledge of natural language processing (NLP), prompt engineering, RAG, and Gen AI architectures. Proven ability to lead large-scale AI/ML projects with cross-functional teams. Strong stakeholder management and ability to translate AI concepts into business impact. Expertise in Agile methodologies, Jira, and backlog management. Experience managing budgets, contracts, and vendor relationships in AI/ML projects. Excellent problem-solving, communication, and leadership skills. Ability to manage uncertainty in AI research & development. Strong analytical mindset with a customer-first approach. Preferred Skills: Prior experience in building AI COEs or AI strategy teams. Scrum Master certification or PMP certification. Experience with LLM fine-tuning (SFT, LoRA, QLoRA) and Gen AI use cases. Strong grasp of MLOps best practices, AI observability, and model deployment strategies. What is in it for you: Be part of a team and company that has won NVIDIA's AI Services Partner of the Year three times in a row with an unparalleled track record of building production AI applications on DGX and Cloud GPUs. Strong peer learning which will accelerate your learning curve across Applied AI, GPU Computing and other softer aspects such as technical communication. Exposure to working with highly experienced AI leaders at Fortune 500 companies and innovative market disruptors looking to transform their business with Generative AI. Access to state-of-the-art GPU infrastructure on the cloud and on-premise. Be part of the fastest-growing AI-first digital transformation and engineering company in the world. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !