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# Lead Software Developer (AI Platform & Tooling)

- **Company:** Stealth It
- **Location:** United Kingdom (Remote available)
- **Experience:** Expert
- **Salary:** £137,540
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Continuous Integration, DevOps, Azure Machine Learning, Software Engineering, AI Platforms, Kubernetes, Infrastructure Automation Frameworks
- **Published:** November 10, 2026
- **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-DCE55C8313E5D779F5/

## About the Role

* Software engineering and cloud infrastructure expertise
 * Experience with AI platforms such as AWS Bedrock and Microsoft Foundry, plus APIs and orchestration frameworks
 * Knowledge of Azure AI services and cloud-native architectures
 * DevOps, CI/CD and Infrastructure as Code practices
 * Cost optimisation and cloud consumption management
 * Security, monitoring and operational support principles
 * Integration and automation technologies

Personal attributes:

 * Strong technical curiosity and an innovation mindset
 * A pragmatic approach to balancing risk, cost and capability
 * Adaptable and responsive to emerging technologies
 * Collaborative and supportive team player
 * Strong ownership and delivery focus
 * Comfortable working with uncertain or incomplete requirements

## Description

* Design and implement AI development and experimentation environments
 * Evaluate emerging AI tooling, frameworks and technology platforms
 * Build integration services, APIs and orchestration capabilities
 * Support deployment, monitoring and operational readiness activities
 * Assess tooling costs, licensing impacts and infrastructure requirements
 * Develop reusable accelerators, technical assets and reference implementations
 * Implement security controls, monitoring and operational guardrails
 * Support continuous improvement and optimisation of AI platforms
 * Give technical guidance to multidisciplinary teams