NVIDIA
Solutions Architect, Generative AI – NVIDIA
Join NVIDIA as a Solutions Architect focused on Generative AI. You will be a strategic technical expert and hands‑on developer, building proof‑of‑concept solutions and reference architectures that showcase the full power of NVIDIA’s accelerated Generative AI platforms.
Responsibilities
Serve as the primary technical domain expert for pre‑ and post‑sale for partners, embedding deeply with them to design and deploy Generative AI solutions.
Accelerate partner/customer time to value by providing repeatable reference architecture guidance, building hands‑on prototypes, and advising on standard methodologies for scaling solutions to production.
Define the scope, success metrics, and evaluation criteria for partner‑led customer projects, ensuring they are built on standardized and reproducible GPU‑accelerated workflows.
Enable strategic partners to launch their own Professional Services and platforms by tailoring NVIDIA agentic AI blueprints for high‑impact customer workloads.
Codify knowledge and operationalize technical success practices to help partners scale impact across industries and workloads.
Qualifications
MSc, PhD in Computer Science, Electrical Engineering, Software Engineering, ML Engineering, or related fields (or equivalent experience).
5+ years of experience developing and deploying AI models at scale as a Software Engineer or Deep Learning Engineer.
Track record of building enterprise‑grade agentic AI systems using open‑source models, with a strong foundation in deep learning and generative models.
Hands‑on experience with LLM and agentic frameworks (NeMo Agent Toolkit, LangChain, Semantic Kernel, Crew.ai, AutoGen) and evaluation & observability platforms.
Strong coding skills in Python, C++ and deep‑learning frameworks (PyTorch, TensorFlow).
Excellent communication and presentation skills to collaborate with internal executives, partners, and customers.
Preferred
Expertise and hands‑on experience with NVIDIA AI platforms.
Knowledge of advanced agent architectures and emerging communication protocols.
Practical knowledge of Generative AI and LLM development, including training GPT and Megatron models.
Experience with MLOps lifecycle management and LLMOps workflows.
CUDA programming experience and performance benchmarking of foundation models.
Compensation & Benefits Base salary range: $148,000 – $235,750 USD. Eligible for equity and benefits. Applications accepted until August 14, 2025.
Equal Opportunity Statement NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate 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.
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Responsibilities
Serve as the primary technical domain expert for pre‑ and post‑sale for partners, embedding deeply with them to design and deploy Generative AI solutions.
Accelerate partner/customer time to value by providing repeatable reference architecture guidance, building hands‑on prototypes, and advising on standard methodologies for scaling solutions to production.
Define the scope, success metrics, and evaluation criteria for partner‑led customer projects, ensuring they are built on standardized and reproducible GPU‑accelerated workflows.
Enable strategic partners to launch their own Professional Services and platforms by tailoring NVIDIA agentic AI blueprints for high‑impact customer workloads.
Codify knowledge and operationalize technical success practices to help partners scale impact across industries and workloads.
Qualifications
MSc, PhD in Computer Science, Electrical Engineering, Software Engineering, ML Engineering, or related fields (or equivalent experience).
5+ years of experience developing and deploying AI models at scale as a Software Engineer or Deep Learning Engineer.
Track record of building enterprise‑grade agentic AI systems using open‑source models, with a strong foundation in deep learning and generative models.
Hands‑on experience with LLM and agentic frameworks (NeMo Agent Toolkit, LangChain, Semantic Kernel, Crew.ai, AutoGen) and evaluation & observability platforms.
Strong coding skills in Python, C++ and deep‑learning frameworks (PyTorch, TensorFlow).
Excellent communication and presentation skills to collaborate with internal executives, partners, and customers.
Preferred
Expertise and hands‑on experience with NVIDIA AI platforms.
Knowledge of advanced agent architectures and emerging communication protocols.
Practical knowledge of Generative AI and LLM development, including training GPT and Megatron models.
Experience with MLOps lifecycle management and LLMOps workflows.
CUDA programming experience and performance benchmarking of foundation models.
Compensation & Benefits Base salary range: $148,000 – $235,750 USD. Eligible for equity and benefits. Applications accepted until August 14, 2025.
Equal Opportunity Statement NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate 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.
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