Technical Program Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Spearhead the comprehensive execution of extensive AI/ML initiatives and deliver production-ready LLM, RAG, and Agentic AI solutions.

• Establish and steer program roadmaps, PI planning, milestones, KPIs, and deliverables across various workstreams.

• Take ownership of program governance, risk management, executive reporting, outcomes, and ROI.

• Ensure alignment of technical delivery with client business objectives.

• Lead the design and implementation of scalable GenAI solutions, encompassing RAG pipelines, multi-agent systems, and agentic workflows.

• Collaborate with architects and engineering teams on GPU optimization, LLM hosting, and inference pipelines.

• Provide guidance on architectural decisions related to model deployment, fine-tuning, and MLOps integration.

• Uphold best practices in AI governance, security, and responsible AI.

• Supervise the implementation of LangChain, NVIDIA NeMo, and Triton Inference Server.

• Offer direction on vector databases and retrieval strategies.

• Advise on quantization, LoRA fine-tuning, and multi-GPU scaling.

• Support frameworks for evaluating model performance, accuracy, and efficiency.

• Serve as the primary liaison for client stakeholders, ensuring delivery aligns with contractual obligations and business objectives.

• Cultivate executive relationships and drive customer satisfaction, retention, and account expansion.

• Facilitate cross-functional collaboration among data scientists, ML engineers, software developers, and consultants.

• Lead, mentor, and expand global teams.

• Promote innovation, accountability, and a culture of continuous learning.

• Assist in career development and skills enhancement in emerging AI technologies.

⛳️ Requirements

• Over 10 years of experience in program or project management.

• A minimum of 5 years leading AI/ML or data-centric initiatives.

• Demonstrated success in managing complex, multi-workstream programs with global teams.

• Exceptional leadership, stakeholder management, and executive communication capabilities.

• Experience in delivering enterprise-scale AI solutions that have measurable business impact.

• Practical knowledge of GCP, AWS, or Azure, including LLM hosting, GPU-based inference, and cost optimization.

• Extensive experience with LLM ecosystems such as Llama, GPT, Claude, and Mistral.

• Profound expertise in RAG and Agentic AI systems.

• Familiarity with vector databases including FAISS, Pinecone, Weaviate, and ChromaDB.

• Experience with LLM fine-tuning techniques such as LoRA, quantization, and distillation.

• Understanding of multi-GPU scaling, model optimization, and inference pipelines.

• Familiarity with LangChain, NVIDIA NeMo, and Triton Inference Server.

• Grasp of AI governance, ethics, explainability, and risk mitigation frameworks.

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• An MBA or advanced degree is highly desirable.

🏝️ Benefits

• Opportunities for learning, growth, and collaboration with colleagues from diverse backgrounds worldwide.

• Upskilling and professional development in cutting-edge AI, ML, data, and cloud technologies.

• Work in a research-driven organization with over 60 patents filed.

• Exposure to Fortune 500 companies.

• Hybrid work culture.

• A culture founded on transparency, diversity, integrity, learning, and growth.