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AI Platform Engineer
Platform Engineer
• Hybrid
• Contract / project
•
São Paulo, Brazil
We are a globally leading software services company specializing in developing enterprise-level projects for clients worldwide.Our team is a unique blend of diverse skill sets, cultures, and backgrounds—a true melting pot of talent. One of the most rewarding aspects of working at Curotec is the opportunity to learn something new every day, not just about technology but also about our amazing team members. Visit our website to discover more about who we are and what we do. Curotec is hiring AI Platform Engineers to support a large enterprise client in deploying, securing, and enabling its enterprise AI platforms. The engineers will take ownership of one strategic platform, whether Claude, Microsoft Copilot/Copilot Studio, or Google Gemini, while bringing cross-platform knowledge and a broader understanding of the enterprise AI ecosystem. You will work at the intersection of platform engineering, identity and access management, security, and automation, owning requests from intake through closure and ensuring that every AI capability is securely configured, appropriately scoped, thoroughly tested, and well-documented. What You Will Do: Own data connector and skill requests end-to-end, from intake through access group creation, identity provider synchronization, connector registration, per-tool permission scoping, testing, documentation, and closure with the requester. Configure and distribute platform capabilities (skills, plugins, agents, connectors) to the right audiences, choosing between enterprise-wide and group-scoped distribution, with a clear understanding of scoping and permission controls. Conduct security and quality reviews of third-party and externally authored skills, plugins, and connectors before release. This includes assessing dependencies and bundled scripts, and evaluating exposure to prompt injection and data exfiltration. Replace manual console configuration with automated setup, registration, and provisioning through CI/CD pipelines and Terraform. Build parameterized deployments across development, staging, and production environments. Partner with the client's security, identity, governance, and business teams to keep AI capabilities compliant.
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