Description

Key Skills: Agentic AI, Generative AI

Roles and Responsibilities:

• Architect and build custom AI infrastructure/hardware solutions for generative AI workloads.
• Optimize AI infrastructure performance, power consumption, cost, and scalability of the computational stack.
• Advise on AI infrastructure technology and support vendor evaluation, selection, and integration.
• Design and implement full-stack integration across AI services, models, and deployment environments.
• Act as an SME by driving technical decisions, resolving cross-team issues, and facilitating knowledge sharing.

Skills Required:

• Minimum 7.5 years of experience in generative ai and AI infrastructure architecture.
• Proficiency in generative ai.
• AI infrastructure design principles for computational stacks supporting generative workloads.
• Performance optimization techniques for AI workloads (latency, throughput, and efficiency).
• Experience integrating AI infrastructure with cloud-based AI services and deployment environments.

Good to Have:

• Python programming experience for AI infrastructure and workload enablement.
• Experience with large language models (llms) and model deployment considerations.
• Experience with aws ai services for building and operating generative ai solutions.

Education: Any Graduation; 15 years full time education

Key Skills

Education

Any Graduate