ROLE & RESPONSIBILITIES: Own the end-to-end infrastructure landscape for Conversational AI platforms (e.g. ConvAIS). Design, implement, and operate secure, scalable, and cost-efficient AI runtime environments. Act as the technical backbone between product, development, data science, and operations. Define infrastructure standards, reference architectures, and guardrails for conversational AI use cases. Ensure platform reliability, performance, and availability, including incident support and root cause analysis. Enable fast but compliant onboarding of new AI use cases and teams. Drive automation first: CI/CD, environment provisioning, monitoring, and recovery. Contribute to platform roadmap discussions with a strong infrastructure and operational perspective. Act as a multiplier: mentoring engineers and spreading infrastructure and DevOps maturity. QUALIFICATIONS/EXPERIENCE: Degree in Computer Science, Information Technology, Engineering, or comparable practical experience. 5+ years of professional experience in infrastructure, platform engineering, or DevOps roles. Proven track record operating mission-critical platforms in an enterprise environment. Hands-on experience with cloud-native architectures and Kubernetes in production. Practical exposure to AI/ML platform support is required; conversational AI experience is a strong plus. Experience working in cross-functional, international teams. Strong problem-solving mindset with the ability to balance speed, stability, and compliance. Submit your CV to: