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About the Role
As a hands-on Infrastructure Architect, you will contribute to the AI and machine learning infrastructure that powers real-world applications. You will develop practical skills in coding, testing, configuring, deploying, monitoring, and troubleshooting AI systems and their infrastructure, with mentorship from senior engineers. This role focuses on building expertise across modern tools and platforms while contributing to AI-driven business outcomes.
Responsibilities
- Write, test, and debug code and scripts for AI infrastructure tasks, including automation and tooling.
- Develop and maintain infrastructure and software deployment scripts for reliable releases of AI systems and models.
- Configure and provision compute resources across cloud and on-premises environments, including GPU clusters and distributed training setups.
- Deploy AI systems and machine learning models into production infrastructure.
- Deploy data pipelines that feed AI and ML workflows.
- Assist with container orchestration and model serving, learning tools such as Docker, Kubernetes, and model deployment frameworks.
- Support and maintain CI/CD pipelines for automating the build, test, and deployment of AI infrastructure and applications.
- Monitor AI systems and infrastructure health across InfraOps and MLOps disciplines.
- Perform AI monitoring to track model performance, detect drift or degradation, and surface issues.
- Troubleshoot and help resolve issues across the computational stack — hardware, networking, software, and models.
- Document configurations, processes, and procedures.
- Collaborate with senior architects and engineers, participating in code reviews, team discussions, and knowledge-sharing sessions.
- Apply security, cost-efficiency, and scalability best practices.
Requirements
- Work or coursework experience with AI/ML or Computer engineering or Computer science.
- Experience in coding, building, monitoring, troubleshooting applications of AI/ML models.
- Experience selecting, designing infrastructure for deploying and running AI/ML models on premise or on public cloud.
- Strong understanding of AI and machine learning as a subject.
- Strong understanding of computing infrastructure, with preferred knowledge of AI infrastructure.
- Proficiency in programming languages such as Python, Java, or C++.
Skills
- AI infrastructure
- Machine learning infrastructure
- Coding
- Testing
- Configuration
- Deployment
- Monitoring
- Troubleshooting
- Python
- Java
- C++
- Container orchestration
- Model serving
- CI/CD pipelines
- InfraOps
- MLOps
- AI monitoring
- Docker
- Kubernetes
Experience Level
- Early-career
Education Level
- Bachelor's Degree in Computer Science, Computer Engineering, or related Engineering field
About the Company
- Accenture is a leading global professional services company that helps 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 Opportunity
- 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, national origin, ancestry, disability status, sexual orientation, gender identity or expression, 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.