3 days ago
Base Salary
$224k - $357k/yr
Responsibilities
- Develop and own enterprise-grade agentic AI systems, including multi-agent architectures, orchestration frameworks, RAG pipelines, deployment, monitoring, and lifecycle management.
- Translate requirements into user stories and technical designs, drive integration testing, support data setup and UAT issue remediation, and manage development activities.
- Build and implement production-grade agentic AI supply chain solutions while partnering with Enterprise IT, product, and research teams.
- Integrate enterprise IT and Operations data sources and make architectural decisions across on-premises, cloud, hybrid, and containerized deployments.
- Define agent autonomy boundaries, human-in-the-loop workflows, escalation strategies, observability, and evaluation frameworks for agent performance.
Requirements
- Bachelor’s degree in Computer Science or a related field, or equivalent experience, plus 12+ years of experience in software architecture, systems design, or enterprise platform engineering.
- Strong hands-on Python experience with production-grade AI systems, along with SQL, JSON, and backend service development; Java is a plus.
- At least two years of experience as a Palantir AI Foundry and AIP platform Forward Deployment Engineer.
- Experience with AI/ML systems, generative AI, agentic AI frameworks, LLMs, RAG architectures, agent orchestration, vector databases, embeddings, retrieval optimization, and multi-agent coordination.
- Experience integrating enterprise platforms such as ERP, CRM, and ITSM through APIs, data connectors, or custom services.
- Strong technical solution design, analytical, technical and business process modeling, collaboration, stakeholder influence, and communication skills.
- Preferred experience includes containerized deployments, Kubernetes, hybrid cloud/on-premises environments, NVIDIA NeMo, Guardrails, AIQ, GPU-optimized inference, observability, AI evaluation frameworks, and publishing technical or architecture work.
Benefits
- Base salary range of 224,000 USD to 356,500 USD, plus eligibility for equity and benefits.
- Applications accepted at least until October 31, 2026; the posting is for an existing vacancy.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.