Technical Program Manager

Role Overview

• 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 upskilling of team members in emerging AI technologies.

Requirements

• 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, multi-workstream 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.

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform

Benefits

• First-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
• 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.
• Career development and upskilling opportunities in emerging AI technologies.