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

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

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