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 : Large Language Models (LLMs)
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI Infrastructure Architect, a typical day involves designing and developing tailored artificial intelligence infrastructure and hardware solutions that meet specific project requirements. This role includes optimizing the performance, power efficiency, cost-effectiveness, and scalability of the computational environment supporting AI workloads. The professional actively evaluates emerging technologies and vendors to recommend the most suitable options. Collaboration with various teams to ensure seamless integration of the full technology stack is a key part of daily activities, ensuring that infrastructure solutions align with organizational goals and project demands.
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 design and implementation of AI infrastructure strategies that support evolving business needs.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.
- Coordinate cross-functional efforts to ensure infrastructure solutions are aligned with operational and strategic objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Strong understanding of AI infrastructure components including hardware accelerators, networking, and storage systems.
- Experience in optimizing computational stacks for performance, power consumption, and cost efficiency.
- Ability to evaluate and integrate vendor technologies into existing AI infrastructure environments.
- Skilled in designing scalable and maintainable AI hardware solutions that support large-scale machine learning workloads.
- Familiarity with full stack integration processes and best practices in AI infrastructure deployment.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Large Language Models (LLMs).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Bengaluru
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