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 : Google Cloud Machine Learning Services
Positive to have skills : Machine Learning Operations
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 organizational needs. This role requires continuous evaluation and enhancement of system performance, power efficiency, and cost-effectiveness while ensuring scalability of the computational environment. The position also includes providing expert advice on emerging AI infrastructure technologies, assessing potential vendors,
and overseeing the seamless integration of full technology stacks 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 solutions.
Oversee the integration of AI hardware and software stacks to maintain system coherence and efficiency.
Mentor junior team members to support their professional growth and enhance team capabilities.
Professional & Technical Skills
Must To Have Skills: Proficiency in Google Cloud Mach
📌 AI Infrastructure Architect (Gurugram)
🏢 Accenture services
📍 Gurugram
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