AI Engineer GenAI for IaC

Hill Country Project Management LLC

Job Location:

Austin, TX - USA

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

Texas Residents Only Closes 12/09
Loc: Hybrid - 3d onsite in Austin 2d telework - local candidates only

Key Responsibilities:

Design and implement AI/ML models that improve SDLC processes in domains such as:
- Developer experience and productivity
- Intelligent test management using data analytics and predictive techniques
- Predictive infrastructure failure detection
- Agentic AI MCP implementation and RAG techniques
- Intelligent alerting and noise reduction
- Automated incident classification and root-cause analysis
- CI/CD optimization based on historical trends
- Using GenAI for IaC
- Any 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 methodologies
Experience working in Developer IDEs such as Eclipse IBM Rational Application Developer STS etc.
Create technical and design documentation as required
Perform system analysis troubleshooting diagnosis and problem resolution. Analyze software for defects and performance tuning opportunities
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:

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 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

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 pre...

Texas Residents Only Closes 12/09
Loc: Hybrid - 3d onsite in Austin 2d telework - local candidates only

Key Responsibilities:

Design and implement AI/ML models that improve SDLC processes in domains such as:
- Developer experience and productivity
- Intelligent test management using data analytics and predictive techniques
- Predictive infrastructure failure detection
- Agentic AI MCP implementation and RAG techniques
- Intelligent alerting and noise reduction
- Automated incident classification and root-cause analysis
- CI/CD optimization based on historical trends
- Using GenAI for IaC
- Any 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 methodologies
Experience working in Developer IDEs such as Eclipse IBM Rational Application Developer STS etc.
Create technical and design documentation as required
Perform system analysis troubleshooting diagnosis and problem resolution. Analyze software for defects and performance tuning opportunities
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:

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 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