Overview
Skills
Job Details
DirectClient: Texas Health and Human Services Commission(HHSC)
Solicitation Number: 529601510
Title: AI Engineer
Location: 1609 Centre Creek Dr., Suite 200 Austin, TX 78754
Duration: Until 8/31/2026 with possible extension
Last date for submission: December 9, 2025 (2.00 PM-CST)
Important Note: Position will be 3 days REMOTE with 2 days (Tuesdays, Fridays) required to be ONSITE.
Key Responsibilities:
Design and implement AI/ML models that improve SDLC processes in domains, such as:
o Developer experience and productivity
o Intelligent test management using data analytics and predictive techniques
o Predictive infrastructure failure detection
o Agentic AI, MCP implementation, and RAG techniques
o Intelligent alerting and noise reduction
o Automated incident classification and root-cause analysis
o CI/CD optimization based on historical trends
o Using GenAI for IaC
o Any other innovative use-cases.
GitHub 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 Google Cloud Platform).
Proficiency in automation and scripting (Python is preferred, Bash, etc.).
Solid understanding of CI/CD pipelines
Experience with cloud-native technologies
Experience 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 Management
Asset and service account management
BMC Helix ticketing system