AI EngineerWe are seeking an AI Engineer to drive innovation in our SDLC processes using artificial intelligence and automation. This role is ideal for an engineer passionate about automation and applying AI/ML techniques to improve reliability, observability, and operational workflows. The focus of this role is not to support external AI/ML product teams, but to internally develop AI-driven solutions that optimize SDLC processes, reduce toil, and increase automation maturity across the organization.Key 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:Bachelor's 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 systemWork Hours and Location:Services shall be provided during normal business hours unless otherwise coordinated through the Texas Health and Human Services Commission. Normal business hours are Monday through Friday from 8:00 AM to 5:00 PM, excluding State holidays when the agency is closed.The primary work location(s) will be at 1609 Centre Creek Dr., Austin, Texas 78754. The working position is Hybrid - On Site and Telework.
Any and all travel, per diem, parking, and/or living expenses shall be at the Candidate's and/or Vendor's expense. Texas Health and Human Services Commission will provide pre-approved, written authorization for travel for any services to be performed away from the primary work location(s). Pre-approved travel expenses are limited to the rates and comply with the rules prescribed by the State of Texas for travel by its classified employees, including any requirement for original receipts.The Candidate(s) may be required to work outside the normal business hours on weekends, evenings and holidays, as requested.
Payment for work over 40 hours will be at the hourly rate quoted and must be coordinated and pre-approved through Texas Health and Human Services Commission.Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.Years - Required/Preferred - Experience8 - Required - Proven ability to administer GitHub Enterprise Cloud8 - Required - Proven ability to analyze and resolve complex issues8 - Required - Supporting and training end users on all levels.8 - Required - Hands-on experience with Continuous Integration Delivery models3 - Preferred - Hands-on experience with large development projects using Agile methodologyLumen Solutions Group Inc. is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.