Senior AI Engineer
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Before you apply
Salary$224k – $357k
LocationUS, CA, Santa Clara
Typefull-time
SenioritySenior
Experience12+ yrs
DepartmentOperations
EquityIncluded
Company size10,000+ people
PostedOct 27, 2026 · 1w ago
Verified live8h ago
At a glanceSummarised by Seekless from the posting.
Bachelor’s degree in Computer Science or 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
Experience with SQL, JSON, and backend service development (Java a plus)
Must have been at least 2+ years as Palantir AI Foundry and AIP platform Forward Deployment Engineer
Demonstrate proficiency in AI/ML systems, generative AI, or agentic AI frameworks
Experience working 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
Experience designing multi-agent communication and coordination patterns
Experience integrating enterprise platforms (e.g., ERP, CRM, ITSM) with APIs, data connectors, or custom services
Strong technical solution design, analytical skills, and the ability to perform technical and business process modeling
Excellent collaboration skills with the ability to influence cross-functional stakeholders
Ability to communicate complex architectural concepts clearly and inspire confidence across technical and business audiences
Hands-on experience with containerized deployments, Kubernetes, and hybrid cloud/on-prem environments
Prototyping skills in Python with ability to build proof-of-concept agent workflows
Experience with NVIDIA AI technologies such as NeMo, Guardrails, AIQ, or GPU-optimized inference stacks
Track record of publishing technical papers, architecture patterns, or thought leadership in AI systems
Knowledge of observability tools, telemetry dashboards, and evaluation frameworks for AI agent performance
Experience solving real-world problems with AI in supply chain domain
Applications for this job will be accepted at least until November 3, 2026
Skills
Python
SQL
JSON
Java
Palantir AI Foundry
AIP
LLMs
LangChain
ReAct
AutoGPT
vector databases
embeddings
retrieval optimization
ERP
CRM
ITSM
Kubernetes
NeMo
Guardrails
AIQ
Benefits
Equity
About the role
Join the AI & Automation Supply Chain Business Transformations team in NVIDIA Operations to develop the future of agentic AI at scale. As the Senior AI Engineer in Operations, you implement our vision for codifying our decision logics and implement decision intelligence ensuring the AI Agents delivers value that are trusted, scalable, and innovative. This is a rare opportunity to define the AI agents for Supply Chain Operations inside one of the world’s most advanced AI companies. If you thrive at the intersection of AI innovation, and Supply Chain transformation, join us and make your mark on the future of agentic AI.
What you will be doing:
•
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 set up and issue remediation during UAT, manage development team activities, develop Hypercare support model
•
Be hands on in development and implement enterprise grade Agentic AI Supply Chain solutions
•
Partner with Enterprise IT engineering, product, and research teams while using LLMs, agentic frameworks, and NVIDIA’s own NeMo and AIQ technologies.
•
Ensure integration with enterprise IT and Operations data sources and Industry’s best Agentic platforms with strong content security focus.
•
Drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions.
•
Lead technical design reviews, develop technical design documentation, and follow principles of code development.
•
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 (latency, accuracy, cost, failure modes, and hallucination analysis).
What we need to see:
•
Bachelor’s degree in Computer Science or 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 a plus)
•
Must have been at least 2+ years as Palantir AI Foundry and AIP platform Forward Deployment Engineer
•
Demonstrate proficiency in AI/ML systems, generative AI, or agentic AI frameworks.
•
Experience working 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 (planner/executor/critic, supervisor agents, etc.).
•
Experience integrating enterprise platforms (e.g., ERP, CRM, ITSM) with APIs, data connectors, or custom services.
•
Strong technical solution design, analytical skills, and the ability to perform technical and business process modeling
•
Excellent collaboration skills with the ability to influence cross-functional stakeholders and build trusted partnerships as well as the ability to communicate complex architectural concepts clearly and inspire confidence across technical and business audiences.
Ways to stand out from the crowd:
•
Hands-on experience with containerized deployments, Kubernetes, and hybrid cloud/on-prem environments.
•
Prototyping skills in Python with ability to build proof-of-concept agent workflows.
•
Experience with NVIDIA AI technologies such as NeMo, Guardrails, AIQ, or GPU-optimized inference stacks.
•
Track record of publishing technical papers, architecture patterns, or thought leadership in AI systems.
•
Knowledge of observability tools, telemetry dashboards, and evaluation frameworks for AI agent performance as well as experience solving real-world problems with AI in supply chain domain.
About the company
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and creative people in the world working here! If you are driven by impact, passionate about enterprise AI, and inspired to shape the agentic AI at scale for NVIDIA’s Supply Chain Operations, we want to hear from you. Apply today!
Benefits
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
Hiring process
NVIDIA uses AI tools in its recruiting processes.
Legal
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.