Design and implement scalable, secure, and high-performance AI solutions on cloud platforms (AWS, Azure, or GCP). Develop architectural blueprints and detailed documentation for AI/ML systems and cloud-native applications. Collaborate with data scientists, engineers, and DevOps teams to deploy machine learning models into production. Lead cloud migration strategies and modernization of legacy systems using cloud-native services. Ensure compliance with security, privacy, and regulatory standards for cloud-hosted AI systems. Optimize cloud resources and manage cost controls for AI workloads. Evaluate and recommend AI tools, frameworks, and best practices for cloud integration. Provide technical leadership and mentorship to engineering and data teams.