AI DevOps Engineer
Deltek (company site, opens in a new tab)5+ yrsBengaluruRemoteDirect career pageEst. 18–32 LPA
Posted 22h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, deploy, and operate LLMOps and MLOps pipelines for production-grade AI services, including prompt management, model serving, evaluation, and lifecycle management.
- Build and maintain cloud infrastructure, CI/CD pipelines, container orchestration, and observability stacks for AI platforms primarily on AWS, Azure, or Google Cloud.
- Collaborate with AI data scientists and engineers to productionize Generative AI, RAG, and AI agent solutions while ensuring security, governance, and operational excellence.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or related technical field.
- Minimum 5 years of experience in DevOps, platform engineering, software engineering, or machine learning engineering.
- At least 2 years of hands-on experience building and operating MLOps or LLMOps pipelines and 2 years supporting Generative AI or AI/ML in production.
- Proficiency in Python, Docker, Kubernetes, CI/CD automation, Infrastructure as Code (Terraform, CloudFormation, or Bicep), and cloud platforms (AWS preferred).
Ideal Candidate Profile
- Experienced in managing end-to-end AI/LLMOps production environments with strong operational focus on scalability, security, cost optimization, and monitoring.
- Skilled in integrating Generative AI, agentic AI workflows, and AI governance within enterprise AI solutions.
- Strong engineering background with ability to develop APIs/microservices and collaborate closely with AI data scientists and engineers in a cloud-native, DevOps-driven environment.