KeyrusCloud

AI Engineer

• Lead technical discovery with clients to understand their systems, data, workflows, and integration requirements
• Translate business needs and approved architectures into practical implementation plans
• Develop production-ready solutions integrating APIs, enterprise applications, cloud services, data platforms, and AI technologies
• Collaborate with AI Engineers, Architects, and Data Engineers to resolve technical challenges and deliver integrated solutions
• Own technical deployment and rollout within the agreed scope, ensuring reliable production performance
• Work closely with client teams to troubleshoot issues, support adoption, and improve implemented solutions
• Monitor performance, costs, and business outcomes while documenting reusable engineering practices
• Turn successful implementations into reusable Keyrus assets, including integration patterns, deployment practices, technical documentation, and implementation guidance for future engagements

Explore Forward Deployed AI Engineer at KeyrusCloud. Review requirements and application details.