Senior AI Engineer

Details

Join NVIDIA Operations' AI & Automation Supply Chain Business Transformations team to develop agentic AI at scale. This role focuses on codifying decision logic and implementing decision intelligence to deliver trusted, scalable, and innovative AI agents for Supply Chain Operations.

Responsibilities

• Develop and own enterprise-grade agentic AI systems for Supply Chain use cases, including multi-agent architectures, orchestration frameworks, RAG pipelines, deployment, monitoring, and full lifecycle management.
• Capture design requirements, translate requirements into user stories, perform technical design, drive end-to-end integration testing, support data setup and issue remediation during UAT, manage development team activities, and develop a Hypercare support model.
• Implement enterprise-grade agentic AI Supply Chain solutions.
• Partner with Enterprise IT engineering, product, and research teams using LLMs, agentic frameworks, and NVIDIA technologies including NeMo and AIQ.
• Integrate with enterprise IT and Operations data sources and agentic platforms, with a strong focus on content security.
• Drive architectural decisions across on-premises, cloud, hybrid, and containerized deployment models.
• Lead technical design reviews, develop technical design documentation, and follow software development principles.
• Define agent autonomy boundaries, human-in-the-loop workflows, and escalation strategies for enterprise Supply Chain use cases.
• Design and implement agent observability and evaluation frameworks covering latency, accuracy, cost, failure modes, and hallucination analysis.

Requirements

• Bachelor's degree in Computer Science or a related field, or equivalent experience, and 12+ years of demonstrable experience in software architecture, systems design, or enterprise platform engineering.
• Strong hands-on expertise in Python for building production-grade AI systems, with experience in SQL, JSON, and backend service development. Java is a plus.
• At least 2 years of experience as a Palantir AI Foundry and AIP platform Forward Deployment Engineer.
• Proficiency in AI/ML systems, generative AI, or agentic AI frameworks.
• Experience with LLMs, RAG architectures, and agent orchestration frameworks such as ReAct patterns, LangChain-based systems, and AutoGPT-style workflows.
• Hands-on experience with vector databases, embeddings, and retrieval optimization, including indexing strategies, similarity search tuning, and relevance evaluation for production systems.
• Experience designing multi-agent communication and coordination patterns, including planner/executor/critic and supervisor-agent architectures.
• Experience integrating enterprise platforms such as ERP, CRM, and ITSM systems using APIs, data connectors, or custom services.
• Strong technical solution design and analytical skills, including technical and business process modeling.
• Excellent collaboration skills, with the ability to influence cross-functional stakeholders, build trusted partnerships, and communicate complex architectural concepts clearly to technical and business audiences.

Preferred Qualifications

• Experience with containerized deployments, Kubernetes, and hybrid cloud/on-premises environments.
• Python prototyping skills and the ability to build proof-of-concept agent workflows.
• Experience with NVIDIA AI technologies such as NeMo, Guardrails, AIQ, or GPU-optimized inference stacks.
• A track record of publishing technical papers, architecture patterns, or AI systems thought leadership.
• Knowledge of observability tools, telemetry dashboards, and evaluation frameworks for AI agent performance.
• Experience solving real-world problems with AI in the Supply Chain domain.

Benefits

The role includes eligibility for equity and benefits.

NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. Applications will be accepted at least until October 31, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.