[Remote] Technical Program Manager
Note: The job is a remote job and is open to candidates in USA. Quantiphi is a rapidly growing company specializing in AI and cloud innovation. The Technical Program Manager will define the Gen AI COE roadmap and lead cross-functional teams to ensure the successful execution of AI projects.
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
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
- 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
Benefits
- Strong peer learning which will accelerate your learning curve across Applied AI, GPU Computing and other softer aspects such as technical communication.
- Access to state-of-the-art GPU infrastructure on the cloud and on-premise.
- Exposure to working with highly experienced AI leaders at Fortune 500 companies and innovative market disruptors looking to transform their business with Generative AI.
- 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.
- Be part of the fastest-growing AI-first digital transformation and engineering company in the world.
Company Overview
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