Amazon Principal Solutions Architect Biomolecule design HealthAI 

United States, Washington, Seattle 

863556087

We are seeking an experienced and innovative AWS Solutions Architect to help customers design and implement AI-powered workflows for biomolecule design. In this role, you will partner with life sciences organizations to architect scalable, secure, and high-performance cloud solutions on AWS that accelerate drug discovery and development. You will leverage AWS’s suite of AI and machine learning services, along with industry-specific tools, to enable customers to build, deploy, and optimize workflows for the design, analysis, and validation of biomolecules, such as proteins, enzymes, and antibodies.As a key technical advisor, you will guide customers through the process of building cloud-native architectures that integrate AI/ML models with complex biological datasets. You will work closely with data scientists, computational biologists, and bioinformaticians to ensure the solutions meet both scientific and business objectives. Your role will also involve collaborating with internal AWS teams to refine and evolve best practices, ensuring the seamless adoption of AI-powered solutions in the field of biomolecule design.Key job responsibilities
- Design and implement cloud architectures that provide state of the art AI-driven biomolecule design workflows and results.
- Provide technical guidance on security, scalability, and cost optimization for cloud solutions.A day in the life
You will work closely with AWS customers and with AWS service teams to make AI driven drug design an everyday reality. You will spend time at customer sites, brainstorming and problem solving with their engineers.You'll have a high ownership, and high innovation role. You'll help customers and AWS teams find the right way to use the power of AWS to design better drugs.About the team
Diverse Experiencesqualifications and skills listed in the job description, we encourage candidates to
apply. If your career is just starting, hasn’t followed a traditional path, or includes
alternative experiences, don’t let it stop you from applying.
Mentorship and Career GrowthBest Employer. That’s why you’ll find endless knowledge-sharing, mentorship and
other career-advancing resources here to help you develop into a better-rounded
professional.

- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
- 10+ years of experience solving Life Sciences problems with applied computing (e.g. bioinformatics, computational chemistry, ML modeling, structure prediction, effect prediction, etc.)

- Knowledge of large scale automation and workflow management or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Up to date knowlege of AI models for Life Sciences, specifically Biological Foundation Models (BioFMs)