Solution Architect – Digital Biology
WFA Digital Insight
In the rapidly evolving field of digital biology, the demand for skilled Solution Architects is on the rise, with companies like NVIDIA leading the charge. As remote work becomes the norm, professionals with expertise in AI, ML, and digital skills are in high demand. With the global digital biology market expected to grow significantly, this role offers a chance to be at the forefront of innovation. Candidates should be prepared to leverage their technical expertise to drive business growth and stay up-to-date on the latest advancements in AI and HPC.
Job Description
About the Role
The Solution Architect role at NVIDIA is a unique opportunity to collaborate with life sciences customers and drive the adoption of AI and digital biology solutions. As a trusted technical advisor, you will work closely with customers to understand their needs and develop tailored solutions that leverage NVIDIA's cutting-edge technology. The role is part of a dynamic team that is passionate about harnessing the power of AI and HPC to transform the healthcare industry.The day-to-day responsibilities of this role will involve guiding customers through the end-to-end process of AI adoption, from requirements gathering to deployment and ongoing optimization. You will also collaborate with the business and account teams to identify technical needs and develop strategies that drive customer success.
NVIDIA is committed to innovation and excellence, and this role offers the chance to work with a talented team of developers, scientists, and industry experts who are shaping the future of digital biology.
What You Will Do
- Collaborate with life sciences customers to understand their needs and develop tailored AI and digital biology solutions
- Guide customers through the end-to-end process of AI adoption, from requirements gathering to deployment and ongoing optimization
- Develop and maintain strong relationships with customers and technical partners
- Work closely with the business and account teams to identify technical needs and develop strategies that drive customer success
- Stay up-to-date on the latest advancements in AI, HPC, and digital biology
- Develop and deliver technical presentations and training sessions for customers and internal stakeholders
- Engage with developers, researchers, data scientists, and senior leaders to drive innovation and adoption of NVIDIA technology
- Document knowledge and best practices, and contribute to the development of whitepapers, blogs, and wiki articles
- Participate in conferences, trade shows, and other industry events to promote NVIDIA's solutions and thought leadership
What We Are Looking For
- MS or PhD (or equivalent experience) in Computer Science, Computational Biology, Computational Chemistry, or related fields
- 5+ years of work-related experience with hands-on expertise in AI/ML for healthcare or life sciences
- Proven experience with Python and AI/ML frameworks (PyTorch, Langchain, or building custom frameworks)
- Strong time-management and organizational skills, with the ability to coordinate multiple initiatives and priorities
- Excellent communication and presentation skills, with the ability to effectively present complex technical information
- Ability to work independently and as part of a team, with a strong sense of self-motivation and initiative
Nice to Have
- Experience building, deploying, and optimizing agentic AI systems for healthcare and life sciences
- Experience developing, training, and customizing Transformer models for healthcare and life sciences applications
- Background in accelerating computing and AI advancements in digital biology
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a talented team of developers, scientists, and industry experts
- Collaborative and dynamic work environment
- Professional development and training opportunities
- Flexible working hours and remote work options
- Access to the latest technology and tools
- Recognition and rewards for outstanding performance
How to Stand Out
- Develop a strong understanding of AI, ML, and HPC, and stay up-to-date on the latest advancements in these fields
- Build a portfolio that showcases your technical expertise and experience in developing and deploying AI and digital biology solutions
- Prepare to provide specific examples of your experience and accomplishments in AI adoption and customer success
- Research NVIDIA's technology and solutions, and be prepared to discuss how you can contribute to the company's mission and goals
- Be prepared to discuss your experience working with cross-functional teams and driving innovation and adoption of new technologies
- Highlight your ability to communicate complex technical information effectively, and provide examples of your presentation and training skills
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