22 hours ago
London, United KingdomSenior
Responsibilities
- Write, review, debug, and standardize code, scripts, infrastructure-as-code, automation, and AI infrastructure tooling.
- Architect, configure, and provision cloud and on-premises compute resources, including GPU clusters and distributed training environments.
- Design and maintain deployment automation and CI/CD pipelines for reliable releases of AI systems, models, and applications.
- Deploy AI systems, models, and data pipelines into production and establish repeatable operating processes.
- Lead container orchestration and model serving using Docker, Kubernetes, and model deployment frameworks.
- Optimize computational infrastructure for performance, power, cost, utilization, scalability, and business requirements.
- Evaluate and select infrastructure tools, frameworks, and platforms and contribute to the infrastructure roadmap.
- Integrate AI models and systems with enterprise systems while addressing interoperability, security, and regulatory compliance.
- Own AI monitoring and infrastructure health across InfraOps and MLOps, tracking performance, reliability, and utilization.
- Troubleshoot complex issues across hardware, networking, software, and models and lead root-cause analysis.
- Mentor junior engineers, lead code reviews, provide technical direction, and document architecture standards and procedures.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related engineering field.
- Experience coding, building, monitoring, and troubleshooting AI/ML model applications and designing infrastructure to deploy and run them on premises or in public clouds.
- Working knowledge of supply chain and engineering processes such as planning, procurement, manufacturing, or logistics, with the ability to translate operational problems into AI-enabled decisions and measurable improvements.
- Strong understanding of AI and machine learning and of computing infrastructure, with AI infrastructure knowledge preferred.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with data pipeline and workflow management tools such as Apache Airflow or Kubeflow.
- Professional experience in AI/ML infrastructure engineering or related work on a hyperscaler platform for large-scale solutions.
- Strong problem-solving, communication, collaboration, and fast-paced execution skills.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.