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...