Description

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of

intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to

build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to

use.

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.

• Collaborate with life sciences customers to understand their specific challenges and tailor AWS solutions to their needs.

• Integrate AWS services for life sciences, such as AWS HealthOmics and Amazon SageMaker, with bioinformatics and biomolecule design tools and models.

• Provide technical guidance on security, scalability, and cost optimization for cloud solutions.

• Work closely with cross-functional AWS teams to support customer success and drive the adoption of AI-powered workflows in the life sciences.

• Stay current with industry trends in bioinformatics, computational biology, and AI, applying the latest innovations to customer projects.

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 will also work with AWS Service and Solutions teams on features, services, and products not yet released. Shaping their definition, and helping those teams build the best products for their customers.

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

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications 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.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best 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.

Basic Qualifications

• 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.)

Preferred Qualifications

• 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)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $164,500/year in our lowest geographic market up to $284,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.