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 : AI & Data Solution Architecture
Good to have skills : Software Product Management
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 constructing tailored artificial intelligence infrastructure and hardware solutions that meet specific organizational needs. This role requires continuous evaluation and enhancement of system performance, power efficiency, cost-effectiveness, and scalability across the computational stack. The professional actively advises on emerging AI infrastructure technologies, assesses vendor offerings, and oversees the seamless integration of full-stack solutions to support advanced AI applications. Collaboration with various stakeholders to align infrastructure capabilities with strategic objectives is a key aspect of daily activities.
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 evaluation and selection of AI infrastructure technologies and vendors to ensure optimal alignment with project goals.
- Drive the integration of AI hardware and software components to build scalable and efficient computational environments.
- Mentor junior team members by providing guidance and support to foster professional growth and enhance team capabilities.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in AI & Data Solution Architecture.
- Good To Have Skills: Software Product Management.
- Strong knowledge of AI infrastructure components including hardware accelerators, storage solutions, and networking technologies.
- Experience in optimizing computational stacks for performance, power consumption, and cost efficiency.
- Ability to evaluate and integrate vendor technologies within complex AI infrastructure environments.
- Familiarity with full stack integration processes and best practices for AI systems deployment.
Additional Information:
- The candidate should have minimum 7.5 years of experience in AI & Data Solution Architecture.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Bengaluru
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