Solutions Architect, Generative AI Specialist at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Manufacturing, Financial Services, TechnologyIndustries

Requirements

Over 5 years crafting scalable agentic AI systems and complex LLM-powered workflows
BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)
Validated experience with MLOps principles, including CI/CD for models, automated training pipelines, and production monitoring
Established record of developing high-level systems that use sophisticated RAG pipelines as a feature in a broader AI orchestration framework (such as LangChain, LangGraph, Haystack)
Familiarity with emerging standards for agentic AI, such as the MCP protocol for multi-agent orchestration and interoperability
Strong understanding of modern GenAI ecosystem and LLM architectures; proficient in innovative PEFT techniques like LoRA, QLoRA, and DoRA
Robust foundational expertise, MS or advanced degree in a field related to AI or Computer Science, or equivalent experience
Passion for learning and experience crafting educational materials within the AI or Cloud domain
Clear love of technology and AI—as illustrated by knowledge of emerging trends and tools
Strong communication skills and experience working in external-facing roles; comfortable working in a highly collaborative environment

Responsibilities

Use NVIDIA AI platform to demonstrate end-to-end deployment of AI solutions in segments such as healthcare, manufacturing, and financial services
Develop reference architectures and prototypes for complex AI orchestration patterns in industry-specific contexts
Build and lead proof-of-concept engagements for novel agentic AI solutions that bring these AI workflows to life
Design and advise on multi-cloud and hybrid-platform strategies and deployments, ensuring customers can bring to bear the best tools for their specific business challenges
Lead live workshops, working sessions, and trainings to ensure partner and customer success
Scale your knowledge by sharing your lessons with other NVIDIA teams around the globe
Cultivate learning and improvement by providing valuable feedback to sales and product specialists

Skills

Generative AI

Agentic AI

AI Orchestration

Multi-Cloud

Hybrid Platforms

NVIDIA AI Platform

Reference Architectures

Prototypes

Proof-of-Concept

AI Deployment

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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