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 : Responsible AI 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 constructing tailored Artificial Intelligence infrastructure and hardware solutions that meet specific project requirements. This role focuses on enhancing the performance, energy efficiency, and cost-effectiveness of the computational environment while ensuring scalability to support evolving AI workloads. The position requires continuous evaluation of emerging technologies and vendors to recommend optimal solutions. Collaboration with various teams to integrate full-stack AI infrastructure seamlessly is a key aspect, ensuring that the architecture aligns with organizational goals and technological advancements. 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 align with business objectives. - Facilitate knowledge sharing and mentorship within the team to foster professional growth. - Coordinate cross-functional efforts to ensure smooth integration of AI hardware and software components. - Monitor and evaluate infrastructure performance metrics to identify areas for improvement and innovation. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI. - Experience with AI infrastructure optimization techniques including performance tuning, power management, and cost analysis. - Strong understanding of hardware architectures and their impact on AI workloads. - Ability to assess and select appropriate AI infrastructure technologies and vendors. - Familiarity with full stack integration of AI hardware and software components. - Capability to design scalable and efficient computational stacks tailored for AI applications. Additional Information: - The candidate should have minimum 7.5 years of experience in Responsible AI. - This position is based at our Hyderabad office. - A 15 years full time education is required. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.