Solutions Architect, Executive Briefing Center

NVIDIA; United States; On-site; USD 124,000 - 242,000; Full time

Job summary

NVIDIA's Executive Briefing Center seeks a hands-on Solutions Architect to design, code, and present agentic AI systems within our EBC environment.

You will craft multi-agent pipelines, optimize inference stacks, and co-develop POCs with account SAs to uplift presentation quality to align with NVIDIA branding for executive meetings.

Qualifications

• BS/MS/PhD in CS, EE, Physics, Math, AI/ML or related field (or equivalent experience)
• 2+ years as ML/Software Engineer or Solutions Architect writing production-level code in Python and/or C/C++ on Linux
• Experience building agentic and multi-agent AI systems using orchestration frameworks (LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK) including tool-using and routing agents; solid MCP/A2A understanding
• Strong background in PyTorch and distributed GPU training; prototype and build scalable GPU-accelerated architectures; deploys workloads at scale on cloud/on-prem
• Excellent communication; able to explain complex ideas to technical and non-technical audiences; leads projects end-to-end

Responsibilities

• Architect, build, and ship end-to-end Agentic AI applications for various use cases including multi-agent coordination and tool use
• Act as Technical Advisor alongside SME colleagues in Executive Briefings
• Create and present demos used at Trade Shows or Customer Meetings
• Partner with engineering, product, and sales to secure build wins and translate customer feedback into product insights and roadmap

Skills

Python

C/C++

Linux

Solutions Architect

PyTorch

Education

BS/MS/PhD in CS/EE/Physics/Math/AI/ML

Tools

LangGraph

LlamaIndex

CrewAI

LangChain

OpenAI Agents SDK

Kubernetes/OpenShift

CI/CD

CUDA-X libraries

TensorRT-LLM

Job description

NVIDIA’s Executive Briefing Center (EBC) Solutions Architect (SA) team is looking for a highly hands-on Solutions Architect with exemplary communication skills. The role involves developing, demonstrating (in the NVIDIA EBC), and packaging agentic AI systems. Partnering with account SAs you will co-develop proof of concepts (POC) and "uplift" their presentation quality to match the NVIDIA branding and messaging used with Executive meetings.

This is a builder’s and presenter's role! You will spend time architecting and writing code. You will develop multi-agent systems, retrieval pipelines, and optimized inference stacks on NVIDIA’s full-stack accelerated computing platform. We want a creative, diligent, and curious engineer energized by agentic AI and ready to make significant change. If that’s you, join us!

What you’ll be doing:

• Architect, build, and ship end-to-end Agentic AI applications for a variety of use cases—spanning multi-agent coordination, long-horizon reasoning, planning, and tool use.
• Act as Technical Advisor alongside fellow Subject Matter Experts (SME) in Executive Briefings.
• Creating and presenting demos that are used at Trade Shows or Customer Meetings.
• Partner with NVIDIA engineering, product, and sales teams to secure build wins, translate customer feedback into actionable product and roadmap insights, and scale global expertise through technical collateral, workshops, and developer communities.

What we need to see:

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, AI/ML, or a related field (or equivalent experience)
• 2+ years as an ML/Software Engineer or Solutions Architect writing production-level code in Python and/or C/C++ in Linux environments.
• Validated experience building sophisticated agentic and multi-agent AI systems using orchestration frameworks such as LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK —including tool-using and routing agents. Solid understanding of MCP and A2A is vital.
• Strong background in PyTorch and distributed GPU (post-)training. Able to quickly prototype and build scalable GPU-accelerated architectures. Applies test-time compute, reinforcement learning, inference optimization, and post-training. Deploys workloads at scale on public cloud (AWS, GCP, Azure, OCI) or on-premise.
• Strong grasp of the way C-Suite and Industry Leaders think paired with excellent communication and presentation skills. Able to explain sophisticated ideas to both technical and non-technical groups. Leads projects from start to finish in a fast-paced, multitasking setting.

Ways to stand out from the crowd:

• Practical experience working directly with the NVIDIA agentic AI software stack—NVIDIA NIM, NeMo Framework, NeMo Retriever, NeMo Agent Toolkit, Dynamo, Triton Inference Server, TensorRT-LLM, and AI Blueprints.
• Expertise building LLM evaluation harnesses, benchmarking systems, observability platforms, and safety guardrails, plus fine-tuning and optimizing reasoning-focused LLMs and SLMs through timely engineering and quantization.
• Experience developing production-grade deployment patterns using Kubernetes/OpenShift, CI/CD automation, and secure cloud-native infrastructure, with familiarity with modern agent architectures and emerging communication protocols such as MCP (Model Context Protocol) or Google A2A.
• Proven experience handling NVIDIA GPU architectures, CUDA-X libraries (cuBLAS, cuDNN, RAPIDS), and HPC technologies (NCCL, InfiniBand, MPI, NVLink), along with familiarity in large-scale data processing and distributed/parallel computing frameworks (e.g., Spark, Dask).
• A strong public profile (blogs, GitHub, conference talks) that demonstrates your expertise and passion for agentic AI.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,5 00 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.