Technical Program Manager

Job description

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 !