Presales Solutions Engineer – East USA
Moveworks
CloudRPA
Solutions Architect, Healthcare Life Sciences
NVIDIA
full-time
Posted on:
Location Type: Remote
Location: Remote • California, North Carolina, Texas, Utah • 🇺🇸 United States
Visit company websiteSalary
💰 $148,000 - $287,500 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudPythonPyTorch
About the role
- Guide 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, finetuning 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, whitepapers, or blog posts.
Requirements
- MS, PhD or equivalent experience in Computer Science, Biomedical Engineering, Computational Biology, or related fields with strong applied experience.
- 5+ years of experience 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 📊 Resume Score Upload your resume to see if it passes auto-rejection tools used by recruiters Check Resume Score
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI adoptionrequirements gatheringproof-of-concept developmentsolution designgenerative AI workflowssynthetic data generationmodel trainingpipeline deploymentagentic tool developmentevaluation
Soft skills
communication skillspresentation skills
Certifications
MSPhD
