Technical Program Manager

About The Role

Quantiphi is seeking a seasoned Technical Program Manager to drive the end-to-end delivery of cutting-edge Generative AI solutions. This role is ideal for a strategic and hands-on leader who can translate business needs into scalable AI architectures, while managing complex, multi-workstream programs across global teams. You will lead high-impact initiatives focused on LLMs, Retrieval-Augmented Generation (RAG), and Agentic AI systems owning delivery, stakeholder alignment, and measurable business outcomes.

Key Responsibilities

• Lead end-to-end execution of large-scale AI/ML programs, ensuring timely delivery of production-grade LLM, RAG, and Agentic AI solutions
• Define and drive program roadmaps, including PI planning, milestones, KPIs, and deliverables across multiple workstreams
• Own program governance, risk management, and executive-level reporting on progress, outcomes, and ROI
• Ensure strong alignment between technical delivery and client business objectives
• Drive the design and implementation of scalable GenAI solutions, including RAG pipelines, multi-agent systems, and agentic workflows
• Partner with architects and engineering teams to define infrastructure strategies, including GPU optimization, LLM hosting, and inference pipelines
• Guide architectural decisions across model deployment, fine-tuning, and MLOps integration
• Ensure adoption of best practices in AI governance, security, and responsible AI
• Oversee implementation of modern AI stacks including LangChain, NVIDIA NeMo, and Triton Inference Server
• Provide direction on vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and retrieval strategies
• Guide optimization techniques such as quantization (GPTQ, AWQ), LoRA-based fine-tuning, and multi-GPU scaling
• Support evaluation frameworks for model performance, accuracy, and efficiency
• Act as the primary point of contact for client stakeholders, ensuring delivery aligns with contractual expectations and business goals
• Build strong executive relationships and drive customer satisfaction, retention, and account growth
• Lead cross-functional collaboration across data scientists, ML engineers, software developers, and consultants
• Lead, mentor, and scale high-performing global teams
• Foster a culture of innovation, accountability, and continuous learning
• Support career development and up-skilling of team members in emerging AI technologies

Basic Qualifications

• 10+ years of experience in program or project management, with at least 5+ years leading AI/ML or data-driven initiatives
• Proven track record managing complex, multiple work-stream programs with global teams
• Strong leadership, stakeholder management, and executive communication skills
• Experience delivering enterprise-scale AI solutions with measurable business impact
• Hands-on experience with cloud platforms: GCP, AWS, or Azure (LLM hosting, GPU-based inference, cost optimization)
• Strong experience with LLM ecosystems (e.g., Llama, GPT, Claude, Mistral)
• Deep expertise in:
  • RAG (Retrieval-Augmented Generation) and Agentic AI systems
  • Vector databases (FAISS, Pinecone, Weaviate, ChromaDB)
  • LLM fine-tuning techniques (LoRA, quantization, distillation)
• Familiarity with:
  • Multi-GPU scaling, model optimization, and inference pipelines
  • Frameworks such as LangChain, NVIDIA NeMo, Triton Inference Server
• Understanding of AI governance, ethics, explainability, and risk mitigation frameworks
• Bachelor's degree in Computer Science, Information Technology, or related field
• MBA or advanced degree is a strong plus

What's In It For YOU

• Make an impact at one of the world's fastest-growing AI-first digital engineering companies
• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues
• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines
• Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies