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Senior Solutions Architect - Healthcare and Life Sciences

NVIDIA

Software and Technology Jobs

Senior Solutions Architect - Healthcare and Life Sciences

full-timePosted: Oct 13, 2025

Job 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 labArchitect 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 experienceProven 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 platformsUnderstanding 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.

Locations

  • MA, US (Remote)

Salary

Estimated Salary Rangemedium confidence

18,000,000 - 36,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Large Language Models (LLMs)intermediate
  • generative AIintermediate
  • accelerated computingintermediate
  • artificial intelligenceintermediate
  • GPU-accelerated AI systemsintermediate
  • GenAI adoptionintermediate
  • requirements gatheringintermediate
  • proof-of-concept developmentintermediate
  • deploymentintermediate
  • integrationintermediate
  • optimizationintermediate
  • AI scientistsintermediate
  • autonomous labintermediate
  • generative AI workflowsintermediate
  • data ingestionintermediate
  • synthetic data generationintermediate
  • domain-adapted pretrainingintermediate
  • fine-tuning reasoning modelsintermediate
  • orchestration of multi-agent LLM systemsintermediate
  • agentic AI techniquesintermediate
  • foundation models for proteinintermediate
  • foundation models for small moleculesintermediate
  • foundation models for genomicsintermediate
  • NVIDIA’s GPU-accelerated platformsintermediate
  • proof-of-concept demonstrationsintermediate
  • technical advisingintermediate
  • customer engagementintermediate
  • AI advancements in healthcareintermediate

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NVIDIA logo

Senior Solutions Architect - Healthcare and Life Sciences

NVIDIA

Software and Technology Jobs

Senior Solutions Architect - Healthcare and Life Sciences

full-timePosted: Oct 13, 2025

Job 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 labArchitect 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 experienceProven 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 platformsUnderstanding 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.

Locations

  • MA, US (Remote)

Salary

Estimated Salary Rangemedium confidence

18,000,000 - 36,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Large Language Models (LLMs)intermediate
  • generative AIintermediate
  • accelerated computingintermediate
  • artificial intelligenceintermediate
  • GPU-accelerated AI systemsintermediate
  • GenAI adoptionintermediate
  • requirements gatheringintermediate
  • proof-of-concept developmentintermediate
  • deploymentintermediate
  • integrationintermediate
  • optimizationintermediate
  • AI scientistsintermediate
  • autonomous labintermediate
  • generative AI workflowsintermediate
  • data ingestionintermediate
  • synthetic data generationintermediate
  • domain-adapted pretrainingintermediate
  • fine-tuning reasoning modelsintermediate
  • orchestration of multi-agent LLM systemsintermediate
  • agentic AI techniquesintermediate
  • foundation models for proteinintermediate
  • foundation models for small moleculesintermediate
  • foundation models for genomicsintermediate
  • NVIDIA’s GPU-accelerated platformsintermediate
  • proof-of-concept demonstrationsintermediate
  • technical advisingintermediate
  • customer engagementintermediate
  • AI advancements in healthcareintermediate

Target Your Resume for "Senior Solutions Architect - Healthcare and Life Sciences" , NVIDIA

Get personalized recommendations to optimize your resume specifically for Senior Solutions Architect - Healthcare and Life Sciences. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Solutions Architect - Healthcare and Life Sciences" , NVIDIA

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

United States of America

Answer 10 quick questions to check your fit for Senior Solutions Architect - Healthcare and Life Sciences @ NVIDIA.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

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