AI Engineer GenAI for IaC at Hill Country Project Management LLC

Texas Residents Only Closes 12/09Loc: Hybrid - 3d onsite in Austin 2d telework - local candidates onlyKey Responsibilities:Design and implement AI/ML models that improve SDLC processes in domains such as:Developer experience and productivityIntelligent test management using data analytics and predictive techniquesPredictive infrastructure failure detectionAgentic AI MCP implementation and RAG techniquesIntelligent alerting and noise reductionAutomated incident classification and root-cause analysisCI/CD optimization based on historical trendsUsing GenAI for IaCAny other innovative use-cases.Work closely with Development DevOps and Infrastructure teams to identify automation opportunities and pain points.Develop automation scripts and tooling to reduce manual tasks operational efficiencies and user experience.Build deploy and maintain pipelines to train and continuously improve AI models for DevOps use-cases.Collaborate with Infrastructure Cloud and DevOps teams to create architecture/design documents for proposed solutions.Ensure operational reliability scalability and performance of AI-driven automation tooling.Integrate AI solutions into monitoring.Experience with Agile Scrum and DevOps methodologiesExperience working in Developer IDEs such as Eclipse IBM Rational Application Developer STS etc.Create technical and design documentation as requiredPerform system analysis troubleshooting diagnosis and problem resolution. Analyze software for defects and performance tuning opportunitiesGitHub Administration:Manage repositories branching strategies and access control.Automate workflows using GitHub Actions or similar CI/CD tools.Maintain code quality and integration processes.Define and implement governance rules.Other duties as assigned.Required Skills & Qualifications:Bachelors degree in Computer Science Engineering or equivalent experience.3 years in Development/Automation roles.Strong background in cloud-native infrastructure (AWS Azure or GCP).Proficiency in automation and scripting (Python is preferred Bash etc.).Solid understanding of CI/CD pipelinesExperience with cloud-native technologiesExperience applying AI/ML techniques to solve engineering problems (e.g. anomaly detection classification clustering).Familiarity with Python machine learning frameworks (e.g. Scikit-learn TensorFlow PyTorch).Good understanding of monitoring logging and observability tooling.Preferred Skills:Experience with anomaly detection predictive analytics or time-series forecasting.Knowledge of MLOps practices (for internal AI models).Experience integrating AI solutions into DevOps toolchains and platforms.Familiarity with infrastructure as code (Terraform Pulumi CloudFormation).Some working experience with Hyper-V Virtual Machine ManagementAsset and service account managementBMC Helix ticketing system Key Skills ASP.NET,Health Education,Fashion Designing,Fiber,Investigation Employment Type : Full Time Experience: years Vacancy: 1