AI DevOps Engineer

About the role

As an AI DevOps Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks. This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments.

Responsibilities

• Build and scale AI-driven workflows and automation systems
• Develop integrations with systems like monitoring platforms, ticketing tools, CI/CD pipelines, and cloud services
• Design and implement APIs, tools, and data pipelines that power AI-driven decision-making
• Work on LLM integrations, model training, PII redaction solutions, prompt engineering, and orchestration layers
• Translate real-world operational problems into automated, intelligent solutions
• Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities
• Improve system performance, reliability, and observability
• Design and develop scalable backend systems for AI-powered platforms
• Build and maintain AI integrations, workflows, and automation pipelines
• Implement REST APIs, microservices, and event-driven architectures
• Work with both structured and unstructured data for AI use cases
• Contribute to CI/CD pipelines, testing, and deployment automation
• Troubleshoot and optimize production systems
• Collaborate with cross-functional teams to deliver high-quality solutions
• Contribute to reusable frameworks and engineering best practices

Requirements

• Strong experience in backend development (TypeScript, C#, .NET, Python, Rust or similar)
• Experience building scalable, distributed systems in cloud environments
• Familiarity with APIs, microservices, and event-driven systems
• Exposure to AI/ML concepts, LLMs, or AI SDKs (hands-on preferred)
• Experience with AWS / Azure / GCP
• Working knowledge of CI/CD, Docker, Kubernetes
• Strong problem-solving and analytical skills
• Ability to work in a fast-paced, evolving environment

Nice to have

• Experience with LLM frameworks or prompt engineering
• Knowledge of observability tools (Grafana, Prometheus, etc.)
• Experience building automation or internal platforms
• Frontend exposure (React, JavaScript)

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime, and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud, and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.