AI Infrastructure Engineer

Accenture

Accenture

Singapore

Posted on May 13, 2026

About the Role

As an AI Infrastructure Engineer at Accenture, you will help design and operate scalable, reliable platforms that enable large‑scale training and inference of generative artificial intelligence solutions. You will work independently on defined deliverables while collaborating with cross‑functional teams to solve complex engineering challenges and contribute to impactful, enterprise‑grade AI platforms.
This role offers strong opportunities to deepen your technical expertise, grow into a subject matter specialist, and influence how Accenture delivers next‑generation AI solutions for clients.

Key Responsibilities

  • Architect, build, and implement infrastructure to support large‑scale training and inference of generative AI models
  • Design and optimize infrastructure for performance, scalability, cost efficiency, and responsible resource consumption
  • Evaluate AI infrastructure options (cloud, platform, and tooling) and provide data‑driven recommendations
  • Advise on technology and vendor selection to align with business and strategic objectives
  • Develop operational controls, monitoring, and observability solutions for AI platforms
  • Implement control towers to monitor, manage, and improve generative AI platform operations
  • Collaborate with engineering, architecture, and delivery teams to support end‑to‑end AI solutions

Required Qualifications

  • Advanced proficiency in Python, with strong hands‑on experience using the Pandas library
  • Solid understanding of database architecture and data management concepts
  • Minimum of 1 year of experience in relevant technology, data, or platform engineering roles
  • Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related field
  • Ability to work independently while contributing effectively in team‑based problem solving
  • Strong analytical, communication, and documentation skills

Preferred Qualifications

  • Knowledge of advanced data architecture principles
  • Experience in platform engineering or infrastructure automation
  • Exposure to Tableau or other data visualization tools
  • Familiarity with technology architecture blueprints and roadmap definition

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

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.