[Remote] Senior Solutions Architect - Healthcare and Life Sciences at NVIDIA

Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Life SciencesIndustries

Requirements

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

Generative AILarge Language ModelsLLMsGPU AccelerationFine-tuningPretrainingMulti-agent LLM SystemsAgentic AISynthetic Data GenerationData IngestionFoundation ModelsGenomicsProof-of-Concept Development

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Solutions Architect role?

Candidates need an MS, PhD, or equivalent experience in Computer Science, Biomedical Engineering, Computational Biology, or related fields, plus 5+ years of experience with a proven track record in AI/ML software development in healthcare or life sciences.

What technical skills are essential for this position?

Key skills include deep experience with end-to-end generative AI solutions like data ingestion, preprocessing, model training, agentic tool development, pipeline deployment, and evaluation; proficiency in Python and AI/ML frameworks such as PyTorch or Langchain; and experience deploying agentic AI in cloud environments like AWS Bedrock, Azure AI Foundry, or Vertex AI.

Is remote work possible for this role, or is there a location requirement?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What soft skills are needed to succeed in this role?

Excellent communication skills are required, with the ability to present complex technical concepts to both technical and non-technical audiences, such as healthcare executives, IT managers, data scientists, clinicians, and developers.

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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