Esta oferta de empleo ya no se encuentra disponible. Continúa tu búsqueda de puestos aquí.
AI Infrastructure Engineer
Singapore
Job No. 14335330
Full-time - On-Site
Descripción Del Puesto
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
Requisitos
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
