Platform Architect

• Design and advise on the AI/ML system architecture, including cloud and on-premise infrastructure.
• Support the selection, onboarding, and engagement of AI platform vendors and ecosystems.
• Ensure platform scalability, performance, and security across AI use cases.
• Advise on infrastructure evaluation and integration strategies.
• Collaborate with data engineering and MLOps teams to ensure seamless deployment and operations.
• Prevent vendor lock-in while enabling access to advanced AI capabilities.
• Support solution capability development and infrastructure optimization.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Minimum 8 years of experience in AI/ML architecture and infrastructure design.
• Deep expertise in cloud platforms (AWS, Azure, GCP) and on-premise systems.
• Strong understanding of MLOps, data engineering, and integration frameworks.
• Proven experience in vendor evaluation, onboarding, and ecosystem management.
• Knowledge of infrastructure scalability, performance tuning, and security best practices.
• Excellent problem-solving, communication, and stakeholder engagement skills.