Solutions Architect, AI Transformation, Enterprise, Enterprise Solutions Architecture, Switzerland

Amazon is hiring a Solutions Architect, AI Transformation, Enterprise, Enterprise Solutions Architecture, Switzerland in Geneva, Switzerland. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this solutions architect role is Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Bedrock and RAG.
Level lists 20,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

Bedrock

rag

As a Solutions Architect, you are the trusted technical advisor to your customers, partnering with them across their journey on AWS. You work with enterprise customers to understand their goals, design the architectures that get them there, and guide them from first conversation through to production. You are comfortable moving between the whiteboard with a customer's architects and the boardroom with their executive sponsors, and you earn trust by being genuinely useful at both.

This role carries that generalist Solutions Architect mandate with a focus on AI transformation. It spans both sides of that work: helping customers transform how they build, applying AI across the development lifecycle (AIDLC), and helping them transform their business with AI. You help customers understand what is genuinely possible, separate what is ready from what is not, and build the architectures and the confidence to put AI into production.

You work closely with the AI teams, and you help customers connect AI capability to real business outcomes rather than experiments.

Key job responsibilities
Act as the trusted technical advisor for your customers across their adoption of AWS, from early strategy conversations through architecture, build and production.

Lead technical deep-dives, architecture reviews, workshops and proof-of-concept engagements that move customers from AI ambition to a design they can deploy.

Design AI/ML and generative-AI architectures: model selection, retrieval and data pipelines, agentic patterns, evaluation, cost and latency trade-offs, and the security and data-residency requirements customers bring to every conversation.

Apply and promote AIDLC practices, helping customers change how they build using AI across the development lifecycle, and connect that to measurable business outcomes.

Help customers build evaluation frameworks that measure models against their own success criteria, so production-readiness decisions rest on evidence.

Own the technical narrative across audiences, from implementation detail with engineering teams to business-value framing with CTOs, Chief Data Officers and executive sponsors.

Share knowledge with the wider Solutions Architecture and Account Management community, raising the team's collective depth in AI.

Capture patterns and friction from customer engagements and feed them back to AWS service teams as concrete product input.

Produce reference architectures and technical content, and represent AWS at customer briefings and industry events.

A day in the life
Your morning might start with a working session with a Swiss enterprise customer's leadership, mapping where generative AI can change how their teams build software and run operations. Next, you join their engineers to design an agentic solution on Amazon Bedrock AgentCore and talk through security, cost and scale. After lunch, you run a hands-on AI-DLC workshop with the account team, then build a proof of concept that turns a promising idea into a measurable pilot. You end the day sharing what you learned with the wider SA community and passing customer feedback to AWS service teams.

Basic qualifications

- Experience building with AI/ML, including generative AI (foundation models, retrieval-augmented generation, or agentic patterns)
- Experience applying AI/ML to software development and/or business transformation use cases
- Experience designing, implementing, or consulting on applications and/or infrastructure
- Experience in a customer-facing or client-facing technical role

Preferred qualifications

- Experience delivering AI/ML and generative-AI workloads in production on any cloud or platform
- Knowledge of enterprise customer segments and how large organizations adopt new technology
- Experience in a specific technology domain (e.g. software development, systems engineering, infrastructure, security, networking, data & analytics)
- Professional working proficiency in French (local language in Geneva) or German alongside English

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.

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.

How we rate this

Solutions Architect, AI Transformation, Enterprise, Enterprise Solutions Architecture, Switzerland at Amazon rates 77 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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.

Key facts

Solutions Architect, AI Transformation, Enterprise, Enterprise Solutions Architecture, Switzerland is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in CH, Geneva.
The job was posted on November 10, 2026.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGBedrock

Also common in solutions architect jobs at this level

Python Azure LLM Google Cloud SQL Machine learning

Pay

Typical solutions architect job: $168k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through how you've used Bedrock in your day-to-day work.
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: RAG and Bedrock. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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