Healthcare & Life Sciences Solutions Architect, AI Solutions, HCLS

At Amazon Web Services (AWS) we are seeking a Healthcare & Life Sciences (HCLS) Solutions Architect to join our HCLS organization within AWS this role you will help shape and deliver our strategy for global HCLS customers and partners partnering with some of the worlds largest healthcare and life sciences companies to design cloud architectures that address their industry-specific business challenges and accelerate the adoption of AWS services.

As a Solutions Architect you will be at the forefront of helping customers succeed using AWS technologies linking technology with measurable business value for healthcare and life sciences organizations. You will have technical depth business aptitude and the ability to lead in-depth technology discussions articulating the value of the AWS platform to Enterprise Architects Technical Architects Cloud Architects Directors VPs and CXOs.

You will craft highly scalable flexible and resilient cloud architectures assist organizations in understanding best practices around advanced cloud-based solutions and help migrate existing workloads to the cloud. You will have the opportunity to define or invent cloud-native reference architectures for a variety of use cases (e.g. Artificial Intelligence Machine Learning Generative AI Serverless and Container-based architectures Analytics and Big Data DevOps and Security). In collaboration with account management professional services support product teams and the AWS partner ecosystem you will formulate and execute strategies to build mind-share and broad use of AWS within enterprise customers.

Key job responsibilities
This role ensures success in building and migrating applications software and services on the AWS platform for Healthcare and Life Sciences partnership with account management the Solutions Architect formulates and executes customer engagement strategies that drive meaningful cloud adoption outcomes.

A central responsibility is building prototypes proofs of concept and demonstration assets that showcase AWS capabilities particularly in AI/ML Generative AI and data analytics tailored to HCLS use cases. This extends to educating customers on the AWS value proposition participating in deep architectural discussions and conducting enablement sessions that accelerate their path to production.

Staying current on emerging AI/ML technologies and cloud-native patterns is essential translating that knowledge into actionable guidance reference architectures and customer-facing publications such as whitepapers. The role builds deep relationships with senior technical individuals within customer organizations enabling them to become cloud advocates. It also serves as a technical liaison between customers service engineering teams and support while capturing and sharing best-practice knowledge across the AWS Solutions Architect community.

A day in the life
Your morning starts with a customer call whiteboarding a cloud migration strategy for a global pharma company. Mid-morning youre building a Generative AI prototype that shows how a life sciences customer could accelerate drug discovery. After lunch you join an architecture review with the account team then lead a hands-on workshop walking a hospital system through HIPAA-compliant deployments on AWS. Between meetings youre sketching a reference architecture for a new ML pipeline trading ideas with fellow SAs in Slack and jotting down notes for a whitepaper. No two days look the same.

About the team
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

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Work/Life Balance
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- 2 years of design implementation or consulting in applications and infrastructures experience
- 4 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- 10 years of IT development or implementation/consulting in the software or Internet industries experience

- Experience working within software development or Internet-related industries
- Experience migrating or transforming legacy customer solutions to the cloud
- Experience working with AWS technologies from a dev/ops perspective

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