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NV

NVIDIA

via Workday

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Senior Solutions Architect - Healthcare and Life Sciences

Anywhere
full-time
Posted 10/13/2025
Direct Apply
Key Skills:
Generative AI
Large Language Models (LLMs)
AI/ML frameworks (PyTorch, Langchain)
Python
Cloud deployment (AWS, Azure, GCP)
GPU-accelerated computing
Healthcare AI
Software development
Communication skills

Compensation

Salary Range

$184K - 357K a year

Responsibilities

Design, develop, and optimize GPU-accelerated generative AI solutions for healthcare and life sciences, guiding customers through adoption and deployment.

Requirements

5+ years in AI/ML software development with healthcare focus, proficiency in Python and AI frameworks, experience with cloud AI deployment, and strong communication skills.

Full Description

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) and generative AI. 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 GenAI 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 scientists and autonomous lab Architect and implement generative AI workflows for use cases including data ingestion, synthetic data generation, 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 agentic AI techniques, foundation models for protein, small molecules, and genomics. 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, especially for scientific software vendors and data platforms 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. 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 desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 17, 2025. 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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

This job posting was last updated on 10/18/2025

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