Devops Engineer with AI(Artificial intelligence)

Job Title:  Devops Engineer with AI (Artificial Intelligence)   Location:  Plano,TX Contract

Primary Skills:    DevOps, CI/CD, CICD Tools-Jenkins  , AI
Job Description :

• DevOps Software Engineer III   AI & Automation - Intermediate (5+ Years) 

• Skills: * Formal training or certification in software engineering with 3+ years applied experience

• Experience in DevOps with CI/CD tools (Jenkins, Bitbucket, Terraform) and application resiliency & securityProficiency in Python and Shell scripting 

• Experience with system administration and automated provisioning

• Hands-on experience with logging, monitoring, and observability tools (Splunk, Dynatrace, Grafana)Production support and incident management experience

• Solid understanding of agile methodologies, CI/CD practices, and security principles

• Experience with AI/ML frameworks (LangChain, AutoGen, CrewAI, or similar agentic frameworks)

• Familiarity with LLM APIs (OpenAI, Azure OpenAI, Anthropic) and prompt engineering

• Demonstrated ability to build AI-powered automation workflows or intelligent bots

• Understanding of when and how to apply AI solutions to operational challenges

Preferred Qualifications, Capabilities, and Skills

• macOS administration and MDM platforms (Jamf, Kandji, Mosyle)

• Experience building automation bots or intelligent workflowsMobile application development or mobile device management

• Exposure to cloud technologies (AWS, Azure, Google Cloud Platform)Experience with vector databases and RAG architectures

• Experience working in highly regulated industrie

AI-Driven Automation & Innovation

• Design and implement AI-powered automation agents to streamline macOS fleet administration, including automated provisioning, configuration drift detection, and self-healing remediation

• Develop intelligent automation solutions using LLMs and agentic frameworks to reduce manual intervention in routine operational tasks

• Build predictive maintenance systems that anticipate infrastructure issues before they impact developers

• Create AI-assisted incident response workflows that automatically triage alerts, correlate events, and suggest remediation steps

DevOps & Platform Engineering

• Execute software solutions through design, development, and technical troubleshooting with ability to think beyond conventional approaches

• Oversee CI/CD infrastructure administration, leveraging AI to optimize pipeline performance, predict build failures, and auto-remediate common issues

• Develop systems that empower developers to innovate while ensuring adherence to firm