AI Infrastructure Architect

AI Infrastructure Architect

Project Role : AI Infrastructure Architect
Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.
Must have skills : Cloud Data Integration
Good to have skills : Cloud Network Implementation
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
In the role of an AI Infrastructure Architect, a typical day involves designing and constructing tailored Artificial Intelligence infrastructure and hardware solutions that meet specific organizational needs. This includes enhancing the performance and efficiency of AI systems while carefully balancing power usage and cost considerations. The role requires continuous evaluation of emerging technologies and vendors to ensure the integration of the most effective and scalable computational stacks. Collaboration with various stakeholders to align infrastructure capabilities with business objectives is a key aspect of daily activities, ensuring robust and future-ready AI environments.

Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the development and implementation of AI infrastructure strategies that align with organizational goals.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.
- Coordinate cross-functional efforts to ensure seamless integration of AI hardware and software components.
- Monitor and assess infrastructure performance metrics to proactively identify and resolve potential issues.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Cloud Data Integration.
- Good To Have Skills: Experience with Cloud Network Implementation.
- Strong expertise in designing scalable and efficient AI infrastructure architectures.
- In-depth understanding of hardware optimization techniques for AI workloads.
- Experience with vendor evaluation and technology selection processes.
- Ability to integrate full stack AI solutions ensuring compatibility and performance.

Additional Information:
- The candidate should have minimum 5 years of experience in Cloud Data Integration.
- This position is based at our CDC2A - SEZ office.
- A 15 years full time education is required.