Solutions Architect HCLS

Amazon is hiring a Solutions Architect HCLS in Berlin, Germany. Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this solutions architect role: aI is not part of the work.
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AI in this role

Germany is home to some of the world's most significant pharmaceutical, biotechnology and medical device companies. AWS is looking for a Solutions Architect to work with those enterprises as they build on the cloud.

As a Solutions Architect you are the trusted technical advisor to your customers. You work alongside account teams to understand what our customers are trying to achieve, then design and prove out the architectures that get them there. Life sciences is one of the most demanding environments we work in: drug discovery generates enormous compute and data demands, clinical development runs on tightly governed data, and manufacturing operates under validated, regulated conditions where change is never casual. You will help customers move quickly without compromising any of it.

You do not need a life sciences background to succeed in this role. We are looking for a strong technologist who is curious about the industry and motivated by its impact. We will help you build the domain depth.

Key job responsibilities
- Act as the technical lead for a portfolio of life sciences enterprise customers, partnering with account managers, specialists and partners to shape and deliver their cloud strategy.
- Design and review architectures with customers across the value chain — research and discovery, clinical development, regulated manufacturing, supply chain and commercial.
- Run whiteboarding sessions, architecture deep dives, proofs of concept and AWS Well-Architected reviews.
- Help customers work through data protection, validation and regulatory requirements, and translate them into concrete architectural decisions rather than blockers.
- Build reusable technical assets — reference architectures, demos, workshops, code samples — so a solution you design once benefits many customers.
- Represent the customer inside AWS: capture product gaps and feed them to our service teams to influence the roadmap.
- Share what you learn. Speak at events, write, and contribute to the life sciences technical community inside and outside AWS.

A day in the life
You might start with a research computing team sizing a genomics or molecular simulation workload, spend the middle of the day designing a
clinical data platform with a development organisation, and finish working through what a validated environment means for a manufacturing
analytics project. Some days are heavily customer facing; others are for building, learning and writing. You decide the mix that makes your customers successful.

About the team
Energy and life sciences run the infrastructure society depends on. We help them modernise it without ever compromising the trust it carries.

Basic qualifications

- Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience in IT development or implementation/consulting in the software or Internet industries

Preferred qualifications

- Knowledge of software development tools and methodologies
- Knowledge of cloud architecture
- Experience with AWS technologies
- Experience communicating complex ideas to technical and non-technical audiences
- Experience solving problems with technology in the Healthcare/Life Sciences Industry
- Experience with regulated or validated environments (e.g. GxP, computer system validation, MDR/IVDR)

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d

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How we rate this

Solutions Architect HCLS at Amazon rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.