AI Infrastructure Architect

AI Infrastructure Architect

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.

AI & Data Solution Architecture

Software Product Management

Minimum

year(s) of experience is required

15 years full time education

Summary:

As an AI Infrastructure Architect, a typical day involves designing and developing tailored Artificial Intelligence infrastructure and hardware solutions that meet specific organizational needs. This role requires continuous evaluation and enhancement of system performance, power efficiency, and cost-effectiveness while ensuring scalability across computational platforms. The position also includes providing expert guidance on technology choices, vendor assessments, and overseeing the seamless integration of full-stack AI infrastructure components. Collaboration with various stakeholders to align infrastructure capabilities with evolving AI demands 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 design and implementation of AI infrastructure strategies that support organizational goals.

- Facilitate knowledge sharing and mentorship within the team to foster professional growth and innovation.

- Coordinate cross-functional efforts to ensure alignment of AI infrastructure with business and technical requirements.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in AI & Data Solution Architecture.

- Good To Have Skills: Software Product Management.

- Strong expertise in designing scalable and efficient AI hardware and infrastructure solutions.

- Experience in evaluating and integrating diverse AI technologies and vendor products.

- Ability to optimize computational stacks for performance, power consumption, and cost.

- Familiarity with full-stack AI infrastructure integration and deployment processes.

Additional Information:

- The candidate should have minimum 12 years of experience in AI & Data Solution Architecture.

- This position is based at our Bengaluru 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 at www.accenture.com 

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