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# Technical Solutions Architect Permanent UK

- **Company:** Satalia
- **Location:** London, UK (Remote available)
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Information Engineering, Software Design Patterns, Python (Programming Language), Machine Learning, Software Deployment, TypeScript, Google Cloud, Enterprise Software Applications, Cloud Platform System, Delivery Pipeline, Cloudformation, Event Driven Architecture, Api Design, Terraform, Serverless Computing
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9a380ae6efffd04a

## About the Role

* Having an excellent understanding of Java, Typescript and/or Python, currently our core cloud languages
 * Industry experience with an Infrastructure-as-Code platform (e.g. Cloudformation, Terraform)
 * A strong understanding of both serverless development and containerisation approaches to deploying software to the cloud
 * Having in-depth knowledge of at least one cloud platform (e.g. GCP, AWS, Azure), including an understanding of appropriate technologies for a given use case.
 * Experience writing enterprise quality solutions, with extensive experience and familiarity with how enterprise software solutions fit into a wider technical landscape
 * Having a solid understanding of traditional Design Patterns and the ability to adapt these to the AI world
 * Being a strong proponent for rigorous quality processes, automated testing and IaC principles
 * Having excellent written, spoken and diagrammatic communication skills, with the ability to convey technical and abstract principles to technical and non-technical audiences
 * Experience of creating robust CI/CD pipelines that fully automate testing and release processes

If you know some of this, even better:

 * A strong understanding of event-driven architectures
 * Working knowledge of Rust
 * Experience with or knowledge of data engineering platforms and principles
 * Experience with or knowledge of data science platforms and technologies

## Description

You will be responsible for creating enterprise-quality AI, ML, and Data Science based solutions. You will be involved in technology selection, API design, and establishing core patterns within our products and client projects. You will consider the functional and non-functional requirements to inform these decisions and lead our development team in implementing them. You will work with our world class Data Science and Data Engineering teams to provide robust, high quality, performant cloud based solutions for our customers.

This is not a role for someone who doesn't love development. Our technical architects are expected to prove solutions and contribute to the development team, as well as reviewing code and driving improvement to our development practice and processes. At the same time, you need to be a great communicator: the role includes direct interaction with our clients and business stakeholders, which are a mixture of technical and non-technical audiences.

The world of AI is evolving at a staggering pace, and we keep our knowledge fresh by continually looking for fresh technologies and sharing what we've learned. As an architect you would be expected to exemplify this both by bringing new ideas to our projects, but also listening to and assessing ideas from the team.

What you'll be doing:

 * Creating enterprise-quality solutions, with extensive experience and familiarity with how enterprise software solutions fit into a wider technical landscape
 * Creating serverless solutions to execute data science and ML models
 * Creating cloud IaC deployment code
 * Guiding a team of Optimisers, Data Scientists, Data Engineers, Cloud Engineers and QAEngineers.
 * Understanding and relating customer/business needs to the technical solutions we create
 * Liaising with the customer, product owners and business analysts to ensure that the work we are doing is correct and architecturally sound
 * Making technology and approach choices to meet NFRs whilst delivering good value for money