Solution Architect – Drug Discovery

Nvidia • Full-time • UK, Remote • 3w ago

Join our team as a Solutions Architect in EMEA, where you will collaborate with life sciences and pharmacustomers focusing on the ground-breaking potential of Large Language Models (LLMs) and generative AI. At NVIDIA, we have a group of exceptional developers and scientists who thrive on working with the latest GPU hardware and software. Our platform for ML/AI and high-performance computing has already had a significant impact on the healthcare industry, serving leading pharmaceutical companies, academic medical centers, and start-ups.

We are seeking an enthusiasticindividual to join us in exploring new opportunities in the AI-powered digital biology revolution. As a Solution Architect, you will work as a trusted technical advisor to our customers in the pharmaceutical and techbio industries, who envision accelerated computing and artificial intelligence as a transformative force in their field. Join us on this thrilling journey and advance your career while empowering top organizations and institutions worldwide.
 

What you will be doing:

Guide customers through the end-to-end process of GenAI adoption—from requirements gathering and proof-of-concept development to deployment, integration, benchmarkingand ongoing optimization
Collaborate with our business/account team to identifytechnical needs, customer goals, and strategies. Your responsibilities will include enabling customer adoption of NVIDIA technology by mapping our solutions to their use cases and driving positive relationships with our technology partners, making NVIDIA an integral part of end-user solutions.
Keep up to date on AI advancements in drug discovery including agentic AI techniques, foundation models for protein, small molecules, and genomics, as well as relevantNVIDIA technology that enable this innovation.
Design, develop, and optimize solutions tailored for healthcare and life science applications, such as AI scientists and autonomous lab or drug discovery.
Engaging with developers, researchers, data scientists, IT managers, and senior leaders internally and externally is an essential part of the Solutions Architect role to gain experience in various technical areas.
Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects to writing whitepapers, blogs, and wiki articles to simply working through hard problems with a customer on a whiteboard.

What we need to see:

MS or PhD (or equivalent experience) in Computer Science, Computational Biology, Computational Chemistry or Computational Physics, or related fieldswith strong applied experience in these domains.
5+ years of work-related experience with hands-on expertise inAI/ML for healthcare or life sciences.
Proven experience with Python and AI/ML frameworks (PyTorch, Langchain, or building custom framework) and application to scientific questions.
Strong time-management and organizational skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects.
Motivated self-starter with an equal balance of strong problem-solving skills and customer-facing communication skills - especially in effectively presenting complex technical information. Must enjoy engaging with innovative individuals, continuous learning, and staying at the forefront of the field.

Ways to stand out from the crowd:

Experience building, deploying, and optimizing agentic AI systems for healthcare and life sciences end-to-end including data ingestion, preprocessing, model training, agentic tool development, pipeline deployment and evaluation, especially for scientific software vendors and data platforms.
Experience developing, training and customizing Transformer models for healthcare and life sciences applications, especially using libraries like Transformer Engine or Megatron-LM.
Familiarity with AI deployment/inference technologies such as TensorRT, TRT-LLM.
Experience deploying and scaling agentic AI solutions in cloud environments (AWS Bedrock, Azure AI foundry, Vertex AI, etc).
Experience in the pharmaceutical industry or established thought leadership through publications or presentations on AI/ML applications in healthcare and life science.

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.

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 are passionate about NVIDIA technology and how it can unlock drug discovery, we want to hear from you!

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