NVIDIA
Senior Solutions Architect - Healthcare and Life Sciences
NVIDIA, Oklahoma City, Oklahoma, United States
Senior Solutions Architect - Healthcare and Life Sciences
NVIDIA is seeking a Solutions Architect to drive innovation with healthcare and life sciences customers across North America, focusing on Large Language Models (LLMs) and generative AI. The role involves partnering with pharmaceutical companies, healthcare providers, medical device manufacturers, and health tech startups to design, implement, and optimize GPU-accelerated AI systems, including LLM and generative AI applications. Serve as a trusted technical advisor to help organizations harness 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 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 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 a 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, and experience collaborating with pharma, techbio, and healthcare providers. Passionate about improving patient outcomes through innovative solutions. NVIDIA is committed to fostering a diverse work environment and is 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. Applications for this job will be accepted at least until October 17, 2025. Your base salary will be determined based on location, experience, and 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. New, refined posting for internal review.
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NVIDIA is seeking a Solutions Architect to drive innovation with healthcare and life sciences customers across North America, focusing on Large Language Models (LLMs) and generative AI. The role involves partnering with pharmaceutical companies, healthcare providers, medical device manufacturers, and health tech startups to design, implement, and optimize GPU-accelerated AI systems, including LLM and generative AI applications. Serve as a trusted technical advisor to help organizations harness 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 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 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 a 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, and experience collaborating with pharma, techbio, and healthcare providers. Passionate about improving patient outcomes through innovative solutions. NVIDIA is committed to fostering a diverse work environment and is 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. Applications for this job will be accepted at least until October 17, 2025. Your base salary will be determined based on location, experience, and 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. New, refined posting for internal review.
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