Response Informatics
AWS AI Platform SME
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AWS AI Platform SME
We are looking for an experienced AWS AI Platform SME to join our team in London!
This is a permanent, hybrid role focused on enabling secure, enterprise-scale adoption of AI-assisted development platforms.
Key Requirements:
- Experience: 5–15 years in platform engineering/SaaS administration.
- Focus: Managing tools like GitHub Copilot, AWS Bedrock, Claude Code, and Cursor.
- Skills: Expertise in Identity & Access Management (SSO, AD, OAuth), Role-Based Access Control (RBAC), and CI/CD pipelines.
- Governance: Oversee SaaS configurations, security standards, and developer onboarding.
Job Overview:
A Platform Engineer is responsible for setting up, configuring, governing, and supporting SaaS-based AI code-generation tools for enterprise engineering teams. This role focuses on enabling secure and scalable adoption of AI-assisted development platforms by configuring tool settings, integrating identity and access management, implementing role-based access controls, and documenting configurations, standards, and operating procedures.
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Responsibilities:
- SaaS AI Tool Setup: Configure and administer SaaS tools for AI-based code generation, including tenant settings, workspace structures, usage policies, and integration options.
- Identity and Access Management: Set up and maintain authentication flows, SSO integrations, Active Directory or enterprise directory mappings, and user provisioning processes.
- Role-Based Access Controls: Define, implement, and review role-based access controls for developers, administrators, reviewers, and support teams to ensure least-privilege access.
- Tool Integration: Integrate AI code-generation tools with source control, IDEs, CI/CD pipelines, ticketing systems, and developer portals where appropriate.
- Governance and Security: Apply enterprise security standards for authentication, authorization, data protection, audit logging, usage monitoring, and policy enforcement.
- Configuration Documentation: Create and maintain clear documentation covering tool configuration, access models, SSO setup, directory group mappings, operational procedures, and change history.
- User Onboarding and Support: Support onboarding, access requests, troubleshooting, training, and adoption of AI code-generation tools across development teams.
- Continuous Improvement: Monitor tool usage, collect feedback, review access periodically, and recommend improvements to configuration, governance, and developer experience.
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