Technical Solutions Architect

Satalia

. Create enterprise-quality AI, ML, and Data Science-based solutions .

Posted 10/14/2026full-timeRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in creating enterprise-quality AI, ML, and Data Science solutions while leading development teams and collaborating with cross-functional stakeholders. Proficient in cloud-based technologies, Infrastructure-as-Code, and serverless architectures to deliver high-performance solutions.

Highest-signal resume keywords

Java ProgrammingTypescript ProgrammingPython ProgrammingInfrastructure-as-Code (IaC)Cloud Platform Expertise (GCP, AWS, Azure)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Serverless DevelopmentContainerizationCI/CD Pipeline CreationEvent-Driven ArchitectureDesign Patterns

Soft Skills

Communication SkillsTeam LeadershipClient Interaction

Tools & Technologies

CloudFormationTerraformData Engineering PlatformsData Science Technologies

Industry Keywords

Enterprise SoftwareAutomated TestingQuality Processes

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaPythonRustTerraformTypeScript

About the role

Key responsibilities & impact

Create enterprise-quality AI, ML, and Data Science-based solutions
Select technologies and design APIs
Establish core patterns within products and client projects
Consider functional and non-functional requirements when making technical decisions
Lead the development team in implementing solutions
Work with Data Science and Data Engineering teams to provide robust, high-quality, performant cloud-based solutions
Prove solutions and contribute to the development team
Review code and drive improvements to development practices and processes
Interact directly with clients and business stakeholders across technical and non-technical audiences
Bring new technologies and ideas to projects
Listen to and assess ideas from the team
Create serverless solutions for executing data science and ML models
Create cloud Infrastructure-as-Code deployment code
Guide Optimisers, Data Scientists, Data Engineers, Cloud Engineers, and QA Engineers
Relate customer and business needs to technical solutions
Liaise with customers, product owners, and business analysts
Make technology and approach choices that meet non-functional requirements and deliver value for money

Requirements

What you’ll need

Excellent understanding of Java, Typescript and/or Python
Industry experience with an Infrastructure-as-Code platform such as CloudFormation or Terraform
Strong understanding of serverless development and containerisation approaches for deploying software to the cloud
In-depth knowledge of at least one cloud platform such as GCP, AWS, or Azure
Experience writing enterprise-quality solutions and understanding how enterprise software fits into a wider technical landscape
Solid understanding of traditional Design Patterns and ability to adapt them to the AI world
Strong support for rigorous quality processes, automated testing, and IaC principles
Excellent written, spoken, and diagrammatic communication skills
Ability to convey technical and abstract principles to technical and non-technical audiences
Experience creating robust CI/CD pipelines that automate testing and release processes
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

Benefits

Comp & perks

Enhanced pension
Life assurance
Income protection
Private healthcare
Remote working
Truly flexible working hours
27 days holiday plus bank holidays
Enhanced family leave
Annual bonus
Impactful projects focused on meaningful social and environmental change
People-oriented culture with wellbeing as a priority
Transparent and open culture
Development opportunities
Autonomy and freedom
Culture of inclusion and warmth