Technical Solutions Architect – Contract

Satalia

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

Posted 10/27/2026contractRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in creating enterprise-quality AI, ML, and Data Science solutions, with a strong focus on Infrastructure-as-Code and cloud platforms. Capable of leading development teams, ensuring rigorous quality processes, and effectively communicating technical concepts to diverse audiences.

Highest-signal resume keywords

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Solutions DevelopmentML Solutions DevelopmentServerless DevelopmentContainerization ApproachesCI/CD Pipeline CreationEvent-Driven ArchitecturesDesign Patterns AdaptationAutomated TestingData Engineering PrinciplesData Science Technologies

Soft Skills

Excellent Communication SkillsClient InteractionStakeholder LiaisonTeam LeadershipProblem-Solving

Tools & Technologies

CloudFormationTerraformGCPAWSAzure

Industry Keywords

Enterprise SoftwareInfrastructure-as-CodeCloud SolutionsData ScienceData Engineering

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaPythonRustTerraformTypeScript

About the role

Key responsibilities & impact

Create enterprise-quality AI, ML and Data Science-based solutions
Participate in technology selection, API design and establishment of core patterns within products and client projects
Consider functional and non-functional requirements when making architecture decisions
Lead development teams in implementing solutions
Work with Data Science and Data Engineering teams to deliver robust, high-quality and performant cloud-based customer 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, including technical and non-technical audiences
Bring new technology ideas to projects 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 to ensure work is correct and architecturally sound
Make technology and approach choices that meet non-functional requirements while delivering good value for money

Requirements

What you’ll need

Contract role inside IR35
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, including selecting appropriate technologies for use cases
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 advocacy for rigorous quality processes, automated testing and Infrastructure-as-Code principles
Excellent written, spoken and diagrammatic communication skills, with 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
Strong understanding of event-driven architectures preferred as an additional qualification
Working knowledge of Rust preferred as an additional qualification
Experience with or knowledge of data engineering platforms and principles preferred as an additional qualification
Experience with or knowledge of data science platforms and technologies preferred as an additional qualification

Benefits

Comp & perks

Truly flexible working
Wellbeing and inclusivity-focused work environment
Autonomy and freedom
Culture of inclusion and warmth
Opportunity to work on diverse and challenging projects
Opportunity to work with high-performing colleagues
Opportunities to learn and share knowledge about fresh technologies