Solutions Architect, Generative AI

Workman Labs; Santa Clara, Northern (CA, KY); Hybrid; USD 152,000 - 288,000; Full time

Job summary

NVIDIA is hiring a Senior Solutions Architect / AI Engineer to lead ecosystem partner enablement for Generative AI, pairing strategic technical expertise with hands-on development to build proof‑of‑concept solutions and reference architectures.

Senior role focused on deploying AI at scale, guiding partners and customers, and shaping reference architectures with open‑source models and NVIDIA tech.

Qualifications

• Advanced degree in CS/Engineering, ML, or related field.
• 5+ years deploying AI models at scale.
• Experience building enterprise-grade AI systems with open-source models.
• Hands-on with LLM/VLM frameworks and Python/C++.

Responsibilities

• Build end-to-end agentic AI applications addressing real-world enterprise challenges.
• Serve as primary technical domain expert for partners and embed to design GenAI solutions at scale.
• Accelerate partner adoption via reference-architecture guidance and prototypes.
• Establish success metrics and evaluation criteria for partner-led projects.
• Enable strategic partners to build Professional Services and products on NVIDIA technologies.
• Codify knowledge to help partners scale impact across industries.

Skills

AI model deployment

Enterprise AI systems

Python

C++

Partner enablement

LLM/VLM frameworks

Education

MS or PhD in CS/Engineering/ML/Data Science

Tools

NeMo

LangChain

Semantic Kernel

Crew.ai

AutoGen

PyTorch

TensorFlow

Job description

NVIDIA is hiring a Solutions Architect / AI Engineer to lead ecosystem partner enablement for Generative AI — pairing strategic technical expertise with hands-on development to build proof-of-concept solutions and reference architectures.

$152,000 – $287,500 / yr

Location

—

Seniority

Senior

Compared with 22 other Go To Market roles: Common across similar roles Unique to this role

What you'll do

Responsibilities

• Build end-to-end agentic AI applications addressing real-world enterprise challenges across industries
• Serve as primary technical domain expert for partners, embedding to design and deploy GenAI solutions at scale Common
• Accelerate partner/customer adoption through reference-architecture guidance and hands-on prototypes
• Establish success metrics and evaluation criteria for partner-led projects Unique
• Enable strategic partners to build Professional Services and products on NVIDIA technologies
• Codify knowledge to help partners scale impact across industries Unique

What you'll need

Experience

• MS or PhD in CS/Engineering, ML, Data Science, or related (or equivalent)
• 5+ years deploying AI models at scale as a software or deep learning engineer Unique
• Track record building enterprise-grade agentic AI systems with open-source models Common
• Hands-on with LLM/VLM frameworks (NeMo, LangChain, Semantic Kernel, Crew.ai, AutoGen)
• Proficiency in Python, C++, and PyTorch or TensorFlow