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 : AI Data Solution Architecture
Good to have skills : Software Product Management
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 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 productive 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.
- 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.
Qualification 15 years full time education
📌 AI Infrastructure Architect (Karnataka)
🏢 Accenture
📍 Karnataka
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