Senior Solutions Architect, Agentic AI
AI summary of the role
Senior Solutions Architect driving production-grade Agentic AI adoption at leading Enterprise ISVs on NVIDIA's accelerated computing platform.
What you’ll do
- Lead technical delivery for strategic Agentic AI partner engagements from discovery through production rollout and scale.
- Design and build enterprise-grade agentic systems including multi-agent workflows, RAG, planning, memory, evaluation, and guardrails.
- Lead deep architecture reviews with partner engineering teams on model quality, latency, cost, reliability, safety, and observability.
- Build hands-on PoCs, benchmarks, reference architectures, and reusable blueprints for Enterprise ISVs.
What you’ll bring
- BS/MS/PhD in CS, EE, AI/ML or equivalent experience.
- 8+ years engineering, solutions architecture, applied ML, or technical deployment experience.
- Hands-on experience building LLM, generative AI, RAG, or agentic AI applications in production.
- Strong Python and Linux skills with PyTorch or TensorFlow.
Technologies
OpenShell · OpenAI Agents SDK · LangGraph · LlamaIndex · LangChain · CrewAI · Semantic Kernel · PyTorch · TensorFlow · NIM · NeMo Framework · NeMo Retriever
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
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