Senior Solutions Architect, Data & AI, AGS UKI Data & AI Solutions Architecture

Amazon is hiring a Senior Solutions Architect, Data & AI, AGS UKI Data & AI Solutions Architecture in London, United Kingdom. Level rates it ; you can apply on Level.

Level's read on this job

Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
The posting mentions Bedrock, Sagemaker and RAG among its tools and skills.
Level classes it as a senior role.
Amazon has 22,000+ other open roles on Level.
This posting went up in the last few days.

AI in this role

bedrocksagemaker

ragai-agentsfine-tuningml-ops

Amazon Web Services (AWS) is seeking an experienced Senior Solutions Architect to join our Data & AI Solutions Architecture team the UK. As a trusted technical advisor, you will help leading financial institutions innovate and transform their business using AWS technologies.

Solutions Architects work hand in hand with AWS customers to help them make the most of the Cloud. They own the overall technical relationship between customers and AWS and make recommendations on security, cost, performance, reliability and operational efficiency. They work to understand the customer's business needs and give prescriptive guidance on how to create business value with technology. To do this they collaborate with other teams such as account management, professional services, support, product teams and the AWS partner ecosystem.

In this role you will get to practice your creativity, linking technology to tangible solutions and educating AWS customers about the art of the possible within a diverse and evolving market.

The Solutions Architecture team is a diverse group of technologists from a variety of backgrounds. Practical knowledge of the AWS platform is desired but not required, provided you have a sound technical foundation and a desire to learn.

Key job responsibilities
- Own the technical relationship with the customer and operate as their trusted advisor. The best interests of the customer will shape the guidance you provide
- Lead technical discussions, architecture design and reviews, and workshops across trading, risk, post-trade, market data, asset and wealth management domains to drive business value
- Design scalable and secure solutions leveraging AWS services and emerging technologies (AI/ML)
- Collaborate with sales teams to develop and execute customer engagement strategies
- Create technical content and reference architectures for capital markets use cases
- Influence AWS product roadmap based on customer needs

Basic qualifications

- Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military
- Experience in IT development or implementation/consulting in the software or Internet industries
- 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 communicating across technical and non-technical audiences, including executive level stakeholders or clients

Preferred qualifications

- Experience implementing AI solutions that can include integration of LLMs/multi-modal FMs in large scale systems, fine-tuning LLMs, deployment and distributed inference of LLMs, RAG, FM evaluation, Vector DBs, Agentic workflows, prompt/context engineering, and MLOps.
- Hands-on experience with AWS ecosystems (including Bedrock, AgentCore, and SageMaker) to set up secure, private-network AI environments, and practical experience implementing Retrieval-Augmented Generation using embeddings, vector stores, and semantic search optimization.

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.

How we rate this

Senior Solutions Architect, Data & AI, AGS UKI Data & AI Solutions Architecture at Amazon rates 70 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. Open the description and count.

Key facts

Senior Solutions Architect, Data & AI, AGS UKI Data & AI Solutions Architecture is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in GB, London.
The job was posted on October 16, 2026.
Seniority: senior.
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

RAGAI agentsFine-tuningML OpsBedrockSagemaker

Also common in solutions architect jobs at this level

Python Generative AI Machine learning Azure Google Cloud SQL

Pay

Typical solutions architect job: $169k

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?
How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How do you monitor a model once it's live, and how do you know it needs retraining?
Walk me through how you've used Bedrock in your day-to-day work.

Adapt your resume

List these exact terms on your resume: RAG, AI agents, Fine-tuning, ML Ops, 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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