Solutions Architect, Generative AI

3 Months ago • 5 Years + • Artificial Intelligence • $148,000 PA - $287,500 PA

Job Summary

Job Description

NVIDIA seeks a Solutions Architect to lead LLM development for Agentic AI, enabling professional services partners on NVIDIA's accelerated computing platforms. The role involves building agentic LLM applications, exploring advancements in model training and customization, and enabling partners to build enterprise AI solutions using NVIDIA's AI stack (including NeMo microservices). Responsibilities include collaborating with developers, providing technical guidance, anticipating customer needs, establishing reference architectures, and communicating standard processes. The ideal candidate will have a strong background in deep learning, generative models, and experience building enterprise-grade RAG-based systems. Experience with NVIDIA AI platforms (NeMo, NIMs) and expertise in GPT and Megatron model training are highly valued.
Must have:
  • MSc/PhD in relevant field or equivalent experience
  • 5+ years experience in deploying AI models at scale
  • Experience building enterprise-grade RAG systems
  • Proficiency in Python, C++, and deep learning frameworks
  • Excellent communication and presentation skills
Good to have:
  • Experience with NVIDIA AI platforms (NeMo, NIMs)
  • Expertise in GPT and Megatron model training
  • Understanding of MLOps/LLMOps
  • CUDA programming and performance analysis experience
Perks:
  • Equity
  • Benefits

Job Details

NVIDIA is seeking an outstanding Solutions Architect to lead development of LLM for Agentic AI to join our fast-growing Generative AI team, who are enabling a global network of Professional Services partners on NVIDIA’s full-stack accelerated computing platforms. Our team is dedicated to applying next-generation technologies to solve customer problems. We are looking for an ambitious and forward-thinking engineer to contribute to the develop of AI applications and solving real world problems for enterprise customers using the latest Generative AI models and research, including NLP, RAG, distributed computing and large-scale system design. In this role, you will be a lead AI developer and trusted technical expert on the latest Generative AI frameworks and LLM family of products and work closely with partners and customers to build scalable industry-specific enterprise AI solutions including project scoping to POC to production.

As part of Generative AI enablement 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 solve category defining systems and AI/ML solutions.

What you will be doing:

  • Building agentic LLM applications and exploring the latest advancements in model training, fine-tuning and customization.

  • Enabling NVIDIA strategic service delivery partners to build enterprise AI solutions using accelerated computing stack including NIMs and NeMo microserviecs.

  • Collaborate with developers and onboard them to NVIDIA AI platforms and services by providing deep technical guidance.

  • Anticipate customer and partners needs and find enablement opportunities to expand adoption and utilization of NVIDIA Generative AI products and platforms.

  • Establishing and building repeatable reference architecture, communicate standard processes and understand solution trade-offs. Share findings and feedback to improve products and services.

 

What we need to see:

  • MSc, PhD in Computer Science, Electrical Engineering, Software Engineer, ML Engineer, or related fields (or equivalent experience).

  • 5+ years of relevant work experience in developing and deploying AI models at scale as a Software Engineer or deep learning engineer.

  • Proven track record of building enterprise-grade RAG based systems using open-source models and orchestration frameworks with strong foundation in deep learning, with a particular emphasis on generative models.

  • Proficiency in Python, C++ programming and Deep Learning frameworks,

  • Excellent communication and presentation skills to effectively collaborate with both internal and external customers.

Ways to stand out from the crowd:

  • Demonstrate expertise and hands-on experience with NVIDIA AI platforms. Some products of interest include natural language processing and Large Language Models (NVIDIA NeMo) and inference at scale (NIMs).

  • Excellent practical knowledge of Generative AI and LLM development. Ability to train GPT and Megatron Models.

  • Understanding of MLOps life cycle management and experience with LLMOps workflows.

  • Experience with CUDA programming and benchmarking and analyzing performance AI Agentic systems.

The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse 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.

Similar Jobs

N-iX - Senior C++ Engineer (High Performance Computing)

N-iX

United Kingdom (Remote)
2 Months ago
Paradox Interactive - C++ Gameplay Programmer

Paradox Interactive

Delft, South Holland, Netherlands (On-Site)
2 Months ago
NVIDIA - Senior C++ Software Engineer - Apache Spark Solution

NVIDIA

Beijing, Beijing, China (On-Site)
2 Months ago
Salesforce - Full-Stack Software Engineer – Senior/Lead/Principal

Salesforce

San Francisco, California, United States (On-Site)
6 Months ago
NVIDIA - Senior Hypervisor and RTOS Engineer

NVIDIA

Santa Clara, California, United States (On-Site)
3 Months ago
Microsoft - Member of Technical Staff Platform Engineer

Microsoft

Mountain View, California, United States (Hybrid)
1 Month ago
NVIDIA - AI Computing Software Development Engineer, TensorRT

NVIDIA

Hsinchu, Hsinchu City, Taiwan (On-Site)
2 Months ago
Tencent - UA Manager - AI Integration

Tencent

Shenzhen, Guangdong Province, China (On-Site)
1 Month ago
NVIDIA - Senior Solutions Architect, Generative AI - Inference

NVIDIA

Washington, United States (Remote)
2 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

ByteDance - Senior Software Engineer, Anti-DDoS

ByteDance

Singapore (On-Site)
3 Months ago
Epic Games - UI Programmer

Epic Games

Montreal, Quebec, Canada (On-Site)
2 Months ago
Evolution - Unreal Engine/C++ Engineer

Evolution

Riga, Latvia (Hybrid)
1 Month ago
ByteDance - Research Scientist Intern (Traffic Infrastructure Global Engineering)

ByteDance

Seattle, Washington, United States (On-Site)
1 Month ago
Ubisoft - Senior C++ Programmer - Machine Learning Content Creation Technology Group

Ubisoft

Montreal, Quebec, Canada (On-Site)
1 Month ago
Nintendo - Technology Engineer (Retro Studios)

Nintendo

United States (Remote)
9 Months ago
Warner Bros Games - Senior Manager - Data Platform Team

Warner Bros Games

Hyderabad, Telangana, India (Hybrid)
2 Months ago
NBCUniversal - Technical Art Director

NBCUniversal

Montreal, Quebec, Canada (Hybrid)
1 Month ago
ByteDance - Software Engineer, Multi Cloud CDN - San Jose / Seattle / Boston

ByteDance

San Jose, California, United States (On-Site)
4 Months ago

Get notifed when new similar jobs are uploaded

Jobs in Santa Clara, California, United States

Meta - Data Engineer, Product Analytics

Meta

San Francisco, California, United States (On-Site)
5 Months ago
Magnopus - Senior VFX Artist

Magnopus

Los Angeles, California, United States (On-Site)
9 Months ago
ByteDance - Wearable Mechanical Engineer / Architect

ByteDance

San Jose, California, United States (On-Site)
1 Month ago
Nintendo - Senior Business Systems Analyst (Oracle Demantra/EBS)

Nintendo

Redmond, Washington, United States (Hybrid)
8 Months ago
Light Speed Studios - Senior Cinematic Producer

Light Speed Studios

California, United States (On-Site)
1 Month ago
Fluence - Sales Engineer/Senior Sales Engineer - Battery Energy Storage

Fluence

Mountain View, California, United States (Hybrid)
6 Months ago
Onward Search - Sr Brand Manager

Onward Search

Irvine, California, United States (Hybrid)
1 Month ago
My Fitness Pal - Backend Software Engineer III

My Fitness Pal

United States (Remote)
3 Months ago
Notion - Software Engineer, Data Platform

Notion

San Francisco, California, United States (On-Site)
6 Months ago
Scientific Games  - Software Product Manager

Scientific Games

Georgia, United States (Remote)
1 Month ago

Get notifed when new similar jobs are uploaded

Artificial Intelligence Jobs

Seedify - AI Product Manager

Seedify

India (Remote)
4 Months ago
Tencent - Large Language Model Algorithm Engineer

Tencent

California, United States (On-Site)
1 Month ago
Glean - Software Engineer, Machine Learning (Infrastructure)

Glean

Palo Alto, California, United States (On-Site)
5 Months ago
Wargaming - Gen AI Business Development Manager

Wargaming

Berlin, Berlin, Germany (On-Site)
2 Months ago
Canva - Senior Computer Vision Engineer - Photo AI

Canva

Vienna, Vienna, Austria (Remote)
1 Month ago
Ubisoft - Senior ML Programmer

Ubisoft

Montreal, Quebec, Canada (On-Site)
1 Month ago
Riot Games - Senior Data Scientist - Singapore Efficiency Team

Riot Games

Singapore (On-Site)
3 Months ago
AI Fund - Chief Executive Officer (Mental Health)

AI Fund

San Francisco, California, United States (Remote)
1 Month ago

Get notifed when new similar jobs are uploaded

About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (On-Site)

Massachusetts, United States (On-Site)

Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (On-Site)

Texas, United States (On-Site)

Santa Clara, California, United States (Hybrid)

Austin, Texas, United States (Remote)

Santa Clara, California, United States (Hybrid)

View All Jobs

Get notified when new jobs are added by NVIDIA

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug