NVIDIA

Solutions Architect - Healthcare

California, United States

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Life SciencesIndustries

Solutions Architect - Healthcare & Life Sciences

Employment Type: Full time

NVIDIA is seeking a Solutions Architect to drive innovation with healthcare and life sciences customers across North America, focusing on the ground-breaking potential of Large Language Models (LLMs), Generative AI, and agentic workflows. As a pioneer in accelerated computing and artificial intelligence, NVIDIA empowers organizations to unlock new possibilities in clinical decision support, medical research, and patient engagement through sophisticated AI solutions. In this role, you will partner with leading pharmaceutical companies, healthcare providers, medical device manufacturers, and health tech startups to design, implement, and optimize GPU-accelerated AI systems—including pioneering LLM and generative AI applications. Serving as a trusted technical advisor, you will help organizations harness the latest advancements in AI to improve patient care, streamline operations, and accelerate scientific discovery. If you are passionate about shaping the future of healthcare with innovative AI technologies, we want to hear from you!

What you will be doing:

  • Guiding customers through the end-to-end process of AI adoption—from requirements gathering and proof-of-concept development to deployment, integration, and ongoing optimization.
  • Design, develop, and optimize solutions tailored for healthcare and life science applications, such as AI scientist, autonomous lab, intelligent diagnostic tools, and clinical agents.
  • Architect and implement generative AI workflows for use cases including synthetic data generation for biological modalities, domain-adapted pretraining of foundation LLMs, fine-tuning reasoning models, and orchestration of multi-agent LLM systems using NVIDIA’s GPU-accelerated platforms.
  • Keep up to date on AI advancements in healthcare, including multi-modal biology models, virtual cell platforms, and clinical prediction models for patient identification and precision medicine.
  • Develop proof-of-concept demonstrations showcasing how NVIDIA’s technology accelerates healthcare innovations.
  • Engage with healthcare executives, IT managers, data scientists, clinicians, and developers to promote the adoption of AI-powered healthcare applications.
  • Share your findings through training sessions, white papers, or blog posts.
  • Some travel may be required for on-site customer engagements.

What we need to see:

  • MS, PhD or equivalent experience in Computer Science, Biomedical Engineering, Computational Biology, or related fields with strong applied experience.
  • 5+ years experience.
  • Proven track record in software development related to AI/ML in healthcare or life sciences.
  • Deep experience with end-to-end generative AI solutions: data ingestion, preprocessing, model training, agentic tool development, pipeline deployment and evaluation.
  • Proficiency in Python and AI/ML frameworks (PyTorch, Langchain, or building custom framework).
  • Experience deploying and scaling agentic AI solutions in cloud environments (AWS Bedrock, Azure AI foundry, Vertex AI, etc).
  • Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences.

Ways to stand out from the crowd:

  • Experience building, deploying, and optimizing agentic AI systems for healthcare and life sciences.
  • Understanding basic biomedical concepts and modalities, such as sequence, structure, function, and clinical phenotypes.
  • Familiarity with AI deployment/inference technologies such as TensorRT, TRT-LLM.
  • Understanding regulatory requirements (e.g., HIPAA) and data privacy concerns specific to healthcare data.
  • Established thought leadership through publications or presentations on AI/ML applications in healthcare and life science as well as experience collaborating with pharma, techbio, and healthcare providers.
  • Passionate about improving patient outcomes through innovative solutions.

NVIDIA is widely considered to be one of the technology world's most...

Skills

Solutions Architecture
Healthcare
Life Sciences
Large Language Models (LLMs)
Generative AI
Agentic Workflows
Accelerated Computing
Artificial Intelligence (AI)
GPU-accelerated AI systems
AI adoption
Proof-of-concept development
Deployment
Integration
Optimization
AI scientist
Autonomous lab
Intelligent diagnostic tools
Clinical agents
Synthetic data generation
Foundation LLMs
Fine-tuning reasoning models
Multi-agent LLM systems
Multi-modal biology models
Virtual cell platforms
Clinical prediction models
Patient identification
Precision medicine

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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