Senior Solutions Architect – Healthcare, Life Sciences

October 14

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🍂 Massachusetts – Remote

Although this job is listed in Massachusetts, this company may be open to hiring remote in other states.

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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NVIDIA

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Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• 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.

🎯 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.

🏖️ Benefits

• equity • benefits