- The Senior AI DevOps Engineer role combines software engineering, DevOps, automation architecture, and AI platform expertise to deliver secure, scalable, and maintainable solutions.

What you'll do

- Lead the design and implementation of enterprise AI and DevOps solutions.

- Define solution architectures supporting automation, AI, and cloud-native services.

- Create and maintain Infrastructure as Code (IaC) solutions using Terraform and Ansible.

- Design and implement Azure-based AI and automation platforms leveraging Azure AI Foundry and Copilot Studio.

- Drive DevOps maturity through Azure DevOps Boards, Repos, and Pipelines.

- Lead technical discussions, reviews, and architecture workshops.

- Mentor junior developers and provide technical guidance to project teams.

- Establish development standards, security controls, and deployment best practices.

- Collaborate with service management teams to align automation solutions with ITSM processes.

- Evaluate emerging technologies including Agentic AI and intelligent automation frameworks.

- Ensure delivery of scalable, resilient, and supportable enterprise solutions.

What you'll need

Essential

- Robust experience in DevOps engineering and cloud solution delivery.





- Deep understanding of Azure platform services.

- Experience with Solution Architecture and enterprise integration patterns.

- Expertise in Terraform and Ansible.

- Experience with Azure AI Foundry and Copilot Studio.

- Strong knowledge of Agile and DevOps methodologies.

- Experience delivering enterprise-scale automation solutions.

- Strong stakeholder management and communication skills.

- Experience leading technical teams and mentoring engineers.

Desirable

- Knowledge of Agentic Automation frameworks.

- Experience integrating automation with ServiceNow and ITSM processes.

- Strong working knowledge of Azure DevOps Boards, Repos, and Pipelines.

- Experience with AI governance and responsible AI principles.

- Exposure to enterprise platform engineering practices.

Critical Success Factors

- Successful delivery of enterprise-scale AI and automation platforms.

- Establishment of technical standards and engineering best practices.

- Effective mentoring and development of engineering capability.

- High-quality architecture and solution design outcomes.

- Continuous innovation through adoption of emerging AI technologies.

📌 Senior Software Developer - Senior AI DevOps Engineer (Bengaluru)
🏢 Computacenter
📍 Bengaluru