Xoriant
AI Tools Support Engineer (Platform Engineering Background)
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Job Title: AI Tools Support Engineer (Platform Engineering Background)
Contract: 6 - 9 Months (with Possible Extension)
Location: Canary Wharf, UK
Hybrid (2 days a week)
Role Overview
We are looking for a hands-on AI Tools Support Engineer with a strong Platform Engineering/DevOps background to support the setup, configuration, integration, administration, and adoption of modern AI-assisted development tools. This is a short-term, high-impact engagement focused on enabling engineering teams to effectively use AI-powered coding and security platforms.
The ideal candidate will have experience working with developer platforms, cloud environments, CI/CD pipelines, GitHub ecosystem tools, and AI-assisted software development solutions.
Key Responsibilities
- Configure, deploy, and support AI developer productivity tools such as:
- Cursor
- Claude Code
- OpenAI Codex / CodeX
- Manage onboarding, access provisioning, licensing, and user administration for AI tools.
- Integrate AI tools with development environments, source control systems, and enterprise platforms.
- Collaborate with Platform Engineering, Security, and Development teams to ensure smooth adoption.
- Troubleshoot tool-related issues and provide L1/L2 technical support.
- Create and maintain technical documentation, setup guides, SOPs, and knowledge base articles.
- Assist in defining governance, security controls, and best practices for AI tool usage.
- Support CI/CD and DevOps integrations involving AI-enabled development workflows.
- Conduct user enablement sessions, demonstrations, and training for engineering teams.
- Monitor usage, collect feedback, and recommend improvements to maximize productivity.
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Required Skills & Experience
- 6+ years of experience in Platform Engineering, DevOps, Developer Platforms, or Infrastructure Engineering.
- Hands-on experience with one or more of the following:
- Cursor
- Claude Code
- OpenAI Codex / AI-assisted coding platforms
- Strong understanding of:
- Git and GitHub Enterprise
- CI/CD pipelines
- Software Development Lifecycle (SDLC)
- Platform Engineering concepts
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of scripting/automation using Python, Bash, or PowerShell.
- Familiarity with identity management, access controls, and enterprise tool integration.
- Strong troubleshooting and documentation skills.
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Preferred Qualifications
- Experience supporting developer productivity platforms at scale.
- Exposure to security and compliance requirements related to AI tools.
- Understanding of prompt engineering and AI-assisted software development workflows.
- Experience working with enterprise engineering organizations.
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