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 : Solution Architecture Good to have skills : NA Minimum 12 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 the performance, power efficiency, cost-effectiveness, and scalability of the computational environment. The position also includes providing expert guidance on emerging AI infrastructure technologies, assessing potential vendors, and overseeing the seamless integration of the entire technology stack to support advanced AI applications. Collaboration with various stakeholders to ensure alignment 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.
• Expected to provide solutions to problems that apply across multiple teams.
• Lead the development and implementation of AI infrastructure strategies that align with organizational goals.
• Facilitate communication and coordination among cross-functional teams to ensure project milestones are met efficiently.
• Mentor junior team members by providing technical guidance and support to foster professional growth.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Solution Architecture.
• Strong knowledge of hardware optimization techniques to enhance AI computational performance.
• Experience in evaluating and integrating AI infrastructure technologies from various vendors.
• Ability to design scalable and cost-effective AI hardware solutions that meet evolving business requirements.
• Familiarity with power management strategies to improve energy efficiency in AI systems.
• Skilled in full stack integration of AI infrastructure components to ensure seamless operation.

Additional Information