AI Engineer SDLC & Automation

Maddisoft has the following immediate opportunity, let us know if you or someone you know would be interested. Send in your resume ASAP. - U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. Send in resume along with LinkedIn profile without which applications will not be considered. Call us NOW! ***Visa sponsorship is available for this position.*

Job Title: AI Engineer - SDLC & Automation

Location: Austin, Texas- Hybrid

Interview Type- In person /MS Teams

We are seeking an innovative AI Engineer to transform and optimize our Software Development Lifecycle (SDLC) through automation and advanced AI/ML capabilities. This role focuses on building internal AI-driven engineering solutions not supporting external AI product teams. The ideal candidate is passionate about automation, developer productivity, operational reliability, and applying AI/ML to solve engineering challenges at scale.

Key Responsibilities

• Design and implement AI/ML solutions to enhance SDLC processes, including:
  • Developer experience and productivity
  • Intelligent test management and predictive analytics
  • Predictive infrastructure failure detection
  • Agentic AI, MCP automation, and RAG-based workflows
  • Intelligent alerting, noise reduction, and anomaly detection
  • Automated incident classification & root-cause analysis
  • CI/CD optimization using historical data
  • GenAI-driven Infrastructure-as-Code (IaC)
  • Other internal automation and innovation use cases
• Partner with Development, DevOps, Cloud, and Infrastructure teams to identify automation opportunities.
• Build automation tools and scripts to reduce manual effort and operational toil.
• Develop and maintain pipelines for training, deploying, and improving internal AI models.
• Create architecture and design documentation for AI-driven solutions.
• Ensure reliability, scalability, and performance of AI automation systems.
• Integrate AI capabilities into monitoring and observability platforms.
• Perform system analysis, troubleshooting, defect diagnosis, and performance tuning.
• Work in Agile Scrum environments and collaborate across engineering teams.
• Support GitHub Administration:
  • Repository and branching strategy management
  • Workflow automation with GitHub Actions (or similar CI/CD tools)
  • Code quality, governance, and access control
• Other engineering duties as assigned.

Required Skills & Qualifications

• Bachelor s degree in Computer Science, Engineering, or equivalent.
• 3+ years of experience in Software Development, Automation, or DevOps engineering.
• Strong background in cloud-native technologies (AWS, Azure, or Google Cloud Platform).
• Proficiency in automation/scripting Python preferred (Bash, PowerShell also useful).
• Solid understanding of CI/CD pipelines and DevOps tooling.
• Experience applying AI/ML techniques for real-world engineering challenges (classification, clustering, anomaly detection, etc.).
• Familiarity with ML frameworks: Scikit-learn, TensorFlow, PyTorch, etc.
• Strong understanding of monitoring, logging, and observability tools.
• Experience working in developer IDEs (Eclipse, IBM RAD, STS, etc.).

Preferred Skills

• Experience with predictive analytics, anomaly detection, and time-series forecasting.
• Knowledge of internal MLOps practices for model lifecycle management.
• Experience integrating AI models into DevOps and automation workflows.
• Familiarity with IaC tools (Terraform, Pulumi, CloudFormation).
• Experience with Hyper-V Virtual Machine Management.
• Asset and service account management experience.
• Experience using BMC Helix or similar ticketing systems.