About the job
Join the team at the forefront of NVIDIA Agentics, Nemotron Edge Modeling & the Blueprint group. We connect foundational models with real-world applications, enabling advanced Agentic AI across sectors like smart manufacturing, public safety, and healthcare. Our mission is to support high-performance foundation models tailored for edge deployment. We also support NVIDIA Blueprints, which provide customizable, production-ready AI workflows. In addition, we support a team whose focus is to apply agentic AI patterns (autonomous or semi-autonomous AI agents) to security, threat modeling, code and dependency analysis, prompt-injection defenses, taint tracking, and agent red-teaming. We are looking for a passionate Senior Technical Program Manager to join the journey, with a focus on agentic AI workflow and execution. In this role, you will drive and coordinate cross-functional teams to successfully manage and complete large-scale technical projects from concept to deployment.
Responsibilities
Integral member of Agentic AI workflow and execution
Lead cross-functional AI initiatives, coordinating between research, engineering, and product teams to deliver agentic AI features and systems.
Collaborate with engineering on sprint planning, stand-ups, sprint review, and retrospectives.
Work with engineering and product on shaping the roadmap and providing PORs to help with execution.
Ensure technical alignment and execution, translating research concepts into production-ready capabilities.
Establish standards to help improve productivity.
Manage dependencies and risks across multiple AI projects, ensuring achievements are met, and resources are effectively allocated.
Use the Jira dashboard to help with various reporting and Confluence to provide program updates to the core and leadership team
Work closely with the engineering team on various KPIs to improve the overall execution process and deliverables
Communicate progress and insights clearly to executives and technical stakeholders, anchoring decisions with data and measurable outcomes.
Qualifications
Minimum
Bachelor's degree in Engineering or Computer Science (or equivalent experience) with 8+ years of proven experience in technical program management, ideally in LLM/Agentic AI projects.
Validated track record leading complex AI initiatives from initial prototype stages to full production.
Strong technical expertise combined with organizational leadership skills, effectively bridging research and implementation.
Demonstrated success in prioritizing tasks and fostering alignment across teams, customers, and partners.
Proficient in Agile methodologies and experienced with Jira, capable of guiding engineering teams in Agile and Scrum practices.
Preferred
Strong understanding of LLM (Large Language Model) architecture, frameworks (e.g., OpenAI, Anthropic, Hugging Face), and model evaluation.
Understanding of agentic AI systems — multi-agent frameworks, tool orchestration, and autonomous workflow design.
Deep curiosity about the frontiers of autonomous AI agents and real-world agent orchestration.