Senior AI Solutions Architect, Enterprise Agentic Systems

NVIDIA Corporation

United States

Remote

USD 184,000 - 288,000

Full time

3 days ago

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Job summary

NVIDIA Corporation in the United States is seeking a Senior Solutions Architect to lead enterprise ISV engagements, designing and deploying production-grade Agentic AI systems on NVIDIA's accelerated computing platform. You will guide multi-agent workflows, RAG, tool use, model customization, and production deployment.

This role requires 8+ years of engineering or deployment experience, strong coding in Python and Linux, and experience with PyTorch or TensorFlow.

Qualifications

8+ years of engineering, solutions architecture, applied ML, or technical deployment experience.
Strong programming and debugging skills in Python and Linux environments.
Experience with LLM, generative AI, RAG, or agentic AI applications in production.

Responsibilities

Lead technical delivery for strategic Agentic AI partner engagements from discovery and architecture through PoC, production readiness, rollout, and scale.
Design and build enterprise-grade agentic systems, including multi-agent workflows, tool-using agents, RAG-integrated applications, planning, memory, evaluation, and guardrail patterns.
Lead architecture reviews with partner engineering teams, balancing model quality, latency, efficiency, cost, retrieval quality, reliability, safety, security, and observability.
Build hands-on PoCs, benchmarks, reference architectures, and reusable blueprints for production deployment.