AI Cloud Architect

• 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.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience in cloud architecture and/or AI/ML systems design.
• Proven experience with at least one major cloud provider: AWS, Azure, or Google Cloud Platform.
• Strong knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with containerization and orchestration (e.g., Docker, Kubernetes).
• Solid understanding of data pipelines, APIs, and MLOps practices.
• Excellent problem-solving and communication skills.

Preferred Qualifications:

• Certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect.
• Experience with edge AI, real-time analytics, or generative AI technologies.
• Background in data security, governance, and compliance (e.g., HIPAA, GDPR).
• Familiarity with DevOps tools (CI/CD, Terraform, Ansible).