Senior Technical Systems AI Architect – Agentic AI
Join NVIDIA as the Senior Technical Systems AI Architect – Agentic AI, and lead the development of agentic AI solutions for supply chain operations. In this role, you will architect, evangelize, and implement the foundational technology that powers AI agents across NVIDIA's Operations business.
What You Will Be Doing
- Define and architect AI agents for supply‑chain use cases, including frameworks for agent orchestration, multi‑agent coordination, RAG, deployment, monitoring, and lifecycle management.
- Build quick proofs‑of‑concept to demonstrate feasibility and implement enterprise‑grade agentic supply‑chain solutions.
- Collaborate with Enterprise IT, product, and research teams while evaluating LLMs, agentic frameworks, and NVIDIA’s NeMo technologies.
- Integrate with enterprise data sources and industry’s leading agentic platforms, ensuring robust content security.
- Make architectural decisions across deployment models (on‑prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions.
- Lead design reviews, produce technical documentation, and mentor engineers, data scientists, and solution architects on architecture principles and coding standards.
- Champion observability, monitoring, versioning, and telemetry to ensure trustworthy and auditable AI agents.
- Influence supply‑chain operations adoption of the platform and serve as a reference adopter, providing feedback to strengthen NVIDIA’s ecosystem.
What We Need To See
- Bachelor’s degree in Computer Science or related field (or equivalent experience); Master’s or PhD preferred.
- 12+ years of experience in software architecture, systems design, or enterprise platform engineering.
- Deep expertise building large‑scale distributed systems focused on reliability, performance, and security.
- Proficiency in AI/ML systems, generative AI, or agentic AI frameworks.
- Familiarity with large language models, RAG pipelines, and orchestration frameworks such as ReAct, LangChain, or AutoGPT‑style flows.
- Experience integrating enterprise platforms (e.g., ERP, CRM, ITSM) with APIs, data connectors, or custom services.
- Hands‑on development of AI agents, frameworks, and tooling, establishing architectural and coding standards.
- Solid understanding of security, governance, and compliance for AI in enterprise contexts.
- Excellent collaboration skills with the ability to influence cross‑functional stakeholders and build trusted partnerships.
- Ability to communicate complex architectural concepts clearly and inspire confidence across technical and business audiences.
Ways To Stand Out From The Crowd
- Experience with containerized deployments, Kubernetes, and hybrid cloud/on‑prem environments.
- Prototyping skills in Python with the ability to build proof‑of‑concept agent workflows.
- Hands‑on experience with NVIDIA AI technologies such as NeMo, NeMo Guardrails, AIQ, or GPU‑optimised inference stacks.
- Track record of publishing technical papers, architecture patterns, or thought leadership in AI systems.
- Knowledge of observability tools, telemetry dashboards, and real‑world AI agent performance evaluation in the supply‑chain domain.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $160,000 USD–$253,000 USD. You will also be eligible for equity and other benefits.
Applications will be accepted until October 19, 2025.
NVIDIA is committed to fostering a diverse work environment and proudly states it is an equal‑opportunity employer. NVIDIA does not discriminate in hiring or promotion on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
#J-18808-Ljbffr