Agentic AI Engineer /// Austin, Texas /// In Person (Face to Face)
vardhan
Duration: 2000 Hours
Location: Austin, Texas
Interview Type- In Person (Face to Face)
Experience: 10 Years
Position will be 3 days remote with 2 days required to be onsite at the location listed
Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.
Job Description:
Texas Health and Human Services Commission requires the services of 1 Software Engineer 3,
hereafter referred to as Candidate(s), who meets the general qualifications
of Software Engineer 3, Applications/Software Development and
the specifications outlined in this document for the Texas Health and
Human Services Commission.
All work products resulting from the project shall be considered "works
made for hire" and are the property of the Texas Health and Human
Services Commission and may include pre-selection requirements that
potential Vendors (and their Candidates) submit to and satisfy criminal
background checks as authorized by Texas law. Texas Health and Human
Services Commission will pay no fees for interviews or discussions,
which occur during the process of selecting a Candidate(s).
Develops software solutions by studying information needs, conferring with users, and studying systems flow, data usage, and work processes. Investigates problem areas. Prepares and installs solutions by determining and designing system specifications, standards, and programming.
Texas Health and Human Services Commission requires the services of 1 Software Engineer 3, hereafter referred to as Candidate(s), who meets the general qualifications of Software Engineer 3, Applications/Software Development and the specifications outlined in this document for the Texas Health and Human Services Commission.
All work products resulting from the project shall be considered "works made for hire" and are the property of the Texas Health and Human Services Commission and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Texas Health and Human Services Commission will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).
We 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:
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.
• 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:
• 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 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
WORK 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.
II. CANDIDATE SKILLS AND QUALIFICATIONS
|
Minimum
Requirements: |
||
|
Years |
Required/Preferred |
Experience |
|
8 |
Required |
Proven ability to administer GitHub Enterprise Cloud |
|
8 |
Required |
Proven ability to analyze and resolve complex issues |
|
8 |
Required |
Supporting and training end users on all levels. |
|
8 |
Required |
Hands-on experience with Continuous Integration Delivery models |
|
3 |
Preferred |
Hands-on experience with large development projects using Agile methodology |