NVIDIA
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Senior Solutions Architect, Agentic AI
role at
NVIDIA .
NVIDIA is seeking an outstanding Senior AI Engineer or Solutions Architect to join our growing team focused on partner enablement for Agentic AI. In this role, you will lead by example, acting as both a strategic technical expert and a hands‑on developer. You will directly build innovative proof‑of‑concept solutions and reference architectures for AI agents, demonstrating the full power of NVIDIA’s accelerated Generative AI platforms. By developing these foundational solutions, you will provide partners with the technical blueprints and expert guidance needed to architect and deploy their own transformative applications using NVIDIA’s full AI stack, from GPU systems and CUDA to NeMo and Triton.
The Generative AI Partners Enablement SA team is dedicated to applying next‑generation technologies to solve customer problems. We act as trusted advisors and technical partners to our ecosystem. As a member of the NPN Generative AI Solution Architecture team, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world by applying accelerated computing AI and solving category‑defining systems and production‑grade AI solutions at scale.
What You Will Be Doing
Build end‑to‑end agentic AI applications that solve real‑world enterprise problems across various industries.
Serve as the primary technical domain expert for pre‑ and post‑sale activities for partners, embedding deeply with them to design and deploy generative AI solutions. Maintain strong relationships with leadership and technical teams to drive adoption and successful utilization of NVIDIA GenAI platforms.
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. Proactively identify opportunities to deepen adoption and utilization of NVIDIA’s Generative AI products.
Codify knowledge and operationalize technical success practices to help partners scale impact across industries and workloads.
What We Need To See
MS or PhD degree in Computer Science, Engineering, Machine Learning, Data Science, Electrical Engineering or a closely related field (or equivalent experience).
8+ years of meaningful experience deploying AI models at scale as a software engineer or deep‑learning engineer.
Consistent track record of building enterprise‑grade agentic AI systems using open‑source models and a solid foundation in deep learning, with a particular emphasis on generative models.
Hands‑on experience with LLM and agentic frameworks (NeMo Agent Toolkit, LangChain, Semantic Kernel, Crew.ai, AutoGen) and evaluation and observability platforms. Comfortable building prototypes or proofs of concept.
Strong coding skills and proficiency in Python, C++, and deep‑learning frameworks (PyTorch or TensorFlow).
Excellent communication and presentation skills to effectively collaborate with internal executives, partners, and customers.
Ways To Stand Out From The Crowd
Demonstrate expertise in building applications and systems using the NeMo Framework, inference at scale, NIMs, and AI Blueprints.
Take end‑to‑end ownership of projects, proactively acquiring new skills or knowledge as needed to drive success.
Excel in fast‑paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact.
Understand advanced agent architectures and emerging communication protocols (MCP or Google A2A).
Knowledge of NVIDIA GPUs and system software stacks that optimize them (e.g., NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink, and others.
Salary and Benefits Base salary: USD 184,000 – 287,500 (depending on location, experience and internal pay equity). Eligible for equity and benefits. Applications accepted until September 21, 2025.
EEO Statement NVIDIA is committed to fostering a diverse work environment and proudly serves as 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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Senior Solutions Architect, Agentic AI
role at
NVIDIA .
NVIDIA is seeking an outstanding Senior AI Engineer or Solutions Architect to join our growing team focused on partner enablement for Agentic AI. In this role, you will lead by example, acting as both a strategic technical expert and a hands‑on developer. You will directly build innovative proof‑of‑concept solutions and reference architectures for AI agents, demonstrating the full power of NVIDIA’s accelerated Generative AI platforms. By developing these foundational solutions, you will provide partners with the technical blueprints and expert guidance needed to architect and deploy their own transformative applications using NVIDIA’s full AI stack, from GPU systems and CUDA to NeMo and Triton.
The Generative AI Partners Enablement SA team is dedicated to applying next‑generation technologies to solve customer problems. We act as trusted advisors and technical partners to our ecosystem. As a member of the NPN Generative AI Solution Architecture team, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world by applying accelerated computing AI and solving category‑defining systems and production‑grade AI solutions at scale.
What You Will Be Doing
Build end‑to‑end agentic AI applications that solve real‑world enterprise problems across various industries.
Serve as the primary technical domain expert for pre‑ and post‑sale activities for partners, embedding deeply with them to design and deploy generative AI solutions. Maintain strong relationships with leadership and technical teams to drive adoption and successful utilization of NVIDIA GenAI platforms.
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. Proactively identify opportunities to deepen adoption and utilization of NVIDIA’s Generative AI products.
Codify knowledge and operationalize technical success practices to help partners scale impact across industries and workloads.
What We Need To See
MS or PhD degree in Computer Science, Engineering, Machine Learning, Data Science, Electrical Engineering or a closely related field (or equivalent experience).
8+ years of meaningful experience deploying AI models at scale as a software engineer or deep‑learning engineer.
Consistent track record of building enterprise‑grade agentic AI systems using open‑source models and a solid foundation in deep learning, with a particular emphasis on generative models.
Hands‑on experience with LLM and agentic frameworks (NeMo Agent Toolkit, LangChain, Semantic Kernel, Crew.ai, AutoGen) and evaluation and observability platforms. Comfortable building prototypes or proofs of concept.
Strong coding skills and proficiency in Python, C++, and deep‑learning frameworks (PyTorch or TensorFlow).
Excellent communication and presentation skills to effectively collaborate with internal executives, partners, and customers.
Ways To Stand Out From The Crowd
Demonstrate expertise in building applications and systems using the NeMo Framework, inference at scale, NIMs, and AI Blueprints.
Take end‑to‑end ownership of projects, proactively acquiring new skills or knowledge as needed to drive success.
Excel in fast‑paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact.
Understand advanced agent architectures and emerging communication protocols (MCP or Google A2A).
Knowledge of NVIDIA GPUs and system software stacks that optimize them (e.g., NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink, and others.
Salary and Benefits Base salary: USD 184,000 – 287,500 (depending on location, experience and internal pay equity). Eligible for equity and benefits. Applications accepted until September 21, 2025.
EEO Statement NVIDIA is committed to fostering a diverse work environment and proudly serves as 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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