A leading technology organization in Santa Clara, California is urgently seeking a senior Agentic AI / AI Engineer to develop and own enterprise-grade Agentic AI systems for Supply Chain use cases. This is a highly technical, hands-on role requiring 12+ years of software architecture and enterprise platform engineering experience, deep expertise in LLMs, RAG pipelines, multi-agent architectures, and NVIDIA’s NeMo and AIQ technologies — and the leadership capability to drive architectural decisions, lead technical design reviews, and define agent autonomy boundaries for real-world enterprise supply chain deployments in Silicon Valley.
About the Role — Agentic AI Engineer Santa Clara California
Role Type: Senior enterprise Agentic AI engineering — hands-on development + architectural leadership for supply chain use cases
Technology Stack: NVIDIA NeMo, AIQ, LangChain, LLMs, RAG, vector databases, embeddings, Python, SQL, ERP/CRM integrations
Deployment Models: On-premises, cloud, hybrid, and containerized enterprise AI systems with strong content security focus
Team Collaboration: Partner with Enterprise IT engineering, product, and research teams across the organization
Work Mode: Full-time on-site in Santa Clara, California — no remote option for this senior enterprise AI role
AI Career Opportunity in Silicon Valley — Santa Clara CA
Cutting-Edge Stack: Work with NVIDIA’s proprietary NeMo and AIQ technologies alongside the latest LLM and agentic AI frameworks
Enterprise Impact: Own and deliver Agentic AI systems that directly transform supply chain operations at enterprise scale
Architectural Leadership: Drive end-to-end architectural decisions across multi-agent systems, RAG pipelines, and enterprise AI deployments
Silicon Valley Network: Partner with Enterprise IT, product, and research teams in one of the world’s most concentrated AI talent hubs
Position Overview
The Agentic AI / AI Engineer in Santa Clara is a full-time, senior on-site engineering role responsible for developing and owning enterprise-grade Agentic AI systems for Supply Chain use cases — including multi-agent architectures, orchestration frameworks, RAG pipelines, deployment infrastructure, monitoring, and full lifecycle management. You will capture design requirements, translate them into user stories, perform technical design, drive end-to-end integration testing, manage development team activities, define agent autonomy boundaries, design human-in-the-loop workflows, implement agent observability and evaluation frameworks, and partner with Enterprise IT, product, and research teams using LLMs, agentic frameworks, and NVIDIA’s own NeMo and AIQ technologies. This role requires a rare combination of deep technical AI expertise and strong enterprise architecture leadership.
Why This Role Matters: As Agentic AI Engineer in Santa Clara, you will build the enterprise AI systems that directly transform supply chain operations at scale — designing multi-agent architectures that process real business decisions, leading the adoption of NVIDIA’s NeMo and AIQ technologies in production supply chain environments, defining the agent autonomy boundaries and human-in-the-loop workflows that make enterprise AI safe and reliable, and shaping the technical future of Agentic AI in one of the world’s most exciting and consequential engineering environments in Silicon Valley.
Key Responsibilities
Agentic AI System Development & Architecture
- Develop and own enterprise-grade Agentic AI systems for Supply Chain use cases — including multi-agent architectures, orchestration frameworks, RAG pipelines, deployment infrastructure, monitoring, and full lifecycle management
- Be hands-on in development and implement enterprise-grade Agentic AI Supply Chain solutions — writing production-quality Python code and leading technical implementation from design through deployment
- Partner with Enterprise IT engineering, product, and research teams using LLMs, agentic frameworks, and NVIDIA’s own NeMo and AIQ technologies to build scalable, reliable enterprise AI systems
- Drive architectural decisions across deployment models — on-premises, cloud, hybrid, and containerized — to deliver scalable, reliable, and cost-efficient enterprise Agentic AI solutions
Requirements Engineering, Design & Integration
- Capture design requirements and translate them into clear user stories — performing technical design, driving end-to-end integration testing, and supporting data setup and issue remediation during UAT
- Lead technical design reviews, develop comprehensive technical design documentation, and enforce principles of quality code development across the engineering team
- Ensure integration with enterprise IT and Operations data sources and industry-leading Agentic platforms — maintaining a strong content security focus throughout all integration work
- Define agent autonomy boundaries, human-in-the-loop workflows, and escalation strategies specifically tailored to enterprise supply chain use cases and risk profiles
Multi-Agent Systems, RAG & Vector Database Architecture
- Design and implement multi-agent communication and coordination patterns including planner/executor/critic architectures, supervisor agents, and dynamic task delegation workflows
- Build and optimize RAG pipelines using vector databases, embeddings, and retrieval optimization techniques — including indexing strategies, similarity search tuning, and relevance evaluation for production systems
- Implement agent observability and evaluation frameworks that measure and report on latency, accuracy, cost, failure modes, and hallucination analysis across all deployed agents
- Integrate enterprise platforms including ERP, CRM, and ITSM with APIs, data connectors, and custom services to enable Agentic AI access to critical supply chain data
Technical Leadership, Hypercare & Team Management
- Manage development team activities — providing technical direction, code review oversight, and architectural guidance across junior and mid-level AI engineers
- Develop and maintain the Hypercare support model for deployed Agentic AI systems — ensuring rapid response to production issues and system reliability post-launch
- Lead product trials, proof-of-concept development, and new technology introductions — defining clear success criteria, operating parameters, and expected business value for each initiative
- Communicate complex architectural concepts clearly — inspiring confidence and alignment across both technical engineering teams and non-technical business stakeholders
Qualifications & Requirements
Required Qualifications
- Bachelor’s degree in Computer Science or related technical field — or equivalent extensive professional software architecture and enterprise systems experience
- 12+ years of demonstrable experience in software architecture, systems design, or enterprise platform engineering — a senior-level requirement for this Santa Clara AI role
- 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)
- Demonstrated proficiency in AI/ML systems, generative AI, or agentic AI frameworks in a production enterprise engineering environment
- Experience working with LLMs, RAG architectures, and agent orchestration frameworks including 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, supervisor agents, and similar enterprise AI architectures
- Experience integrating enterprise platforms such as ERP, CRM, and ITSM with APIs, data connectors, or custom services
Preferred Qualifications & Attributes
- Strong technical solution design and analytical skills with the ability to perform both technical and business process modeling for enterprise supply chain contexts
- Excellent collaboration skills — with the demonstrated ability to influence cross-functional stakeholders and build trusted partnerships across engineering, product, and business teams
- Ability to communicate complex architectural concepts clearly and inspire confidence across technical and business audiences simultaneously
About the Role — Enterprise Agentic AI in Silicon Valley
This senior Agentic AI Engineer position in Santa Clara, California sits at the very frontier of enterprise artificial intelligence — applying the latest breakthroughs in Large Language Models, multi-agent orchestration, and NVIDIA’s NeMo and AIQ platform to real-world supply chain challenges that affect operations at global scale. Silicon Valley’s Santa Clara hub is the world’s most concentrated environment for advanced AI engineering talent, and this role offers a rare opportunity to work on production enterprise Agentic AI systems that are genuinely transforming how organizations plan, execute, and optimize their supply chain operations using autonomous and semi-autonomous AI agents.
Career Trajectory: A senior Agentic AI Engineer role in Santa Clara is one of the most prestigious and well-compensated positions in today’s AI engineering market — with clear advancement toward Principal AI Architect, Director of AI Engineering, VP of Artificial Intelligence, and Chief AI Officer roles across the world’s leading technology companies in Silicon Valley and beyond.
Who Should Apply?
- Senior AI/ML Engineers: With 12+ years of software architecture experience and proven hands-on expertise in LLMs, RAG, and multi-agent system design
- Agentic AI Architects: With deep knowledge of LangChain, ReAct patterns, vector databases, and enterprise-scale AI system deployment in production environments
- Supply Chain AI Specialists: With experience applying Agentic AI, generative AI, or autonomous AI systems to enterprise supply chain and operations use cases
- NVIDIA NeMo / AIQ Engineers: With specific experience using NVIDIA’s AI platform technologies for enterprise application development
- Enterprise Platform Engineers: With proven ERP/CRM/ITSM integration experience and strong Python skills for production-grade enterprise AI system development
Recently opened JOBS 👇🏻
