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Requirement details:
Internal job ID:TWK_3025
AI Engineer
State of Texas
Austin, TX-78754 #Hybrid
NOTE:
The working position is Hybrid – On Site and Telework.
Position will be 3 days remote with 2 days (Tuesdays and Fridays) required to be onsite at the location listed above
The program will allow local to Texas candidates only
LOCAL to Texas profiles only
Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.
Interview Mode: ☒ In person ☒ Through Microsoft Teams
Total EXP:14+ years must
Job Description:
We are seeking an AI Engineer to innovate and transform our SDLC processes using artificial intelligence and automation. This role is ideal for someone passionate about applying AI/ML techniques to enhance developer experience, improve reliability, optimize CI/CD pipelines, and reduce operational toil across the organization.
This position focuses on internal AI-driven automation solutions, not supporting external AI/ML product teams.
Key Responsibilities
Design and implement AI/ML models to improve SDLC processes, including:
Developer productivity
Intelligent test management
Predictive infrastructure failure detection
Agentic AI, MCP, and RAG-based solutions
Intelligent alerting and noise reduction
Automated incident classification & RCA
CI/CD optimization using historical patterns
GenAI for Infrastructure-as-Code
Other innovative AI/automation use cases
Identify automation opportunities with Development, DevOps, and Infrastructure teams.
Build automation scripts and tools to eliminate manual tasks and enhance operational efficiency.
Develop and maintain pipelines for training and improving AI models for DevOps use-cases.
Create architecture and design documentation for AI-driven solutions.
Ensure reliability, scalability, and performance of AI automation tools.
Integrate AI solutions into monitoring and observability platforms.
Participate in Agile Scrum processes and DevOps workflows.
Work with developer IDEs (Eclipse, IBM RAD, STS, etc.).
Troubleshoot, diagnose, and resolve system issues; perform analysis and tuning.
GitHub Enterprise Administration:
Manage repos, branching strategies, access control
Automate workflows with GitHub Actions
Maintain code quality and integration governance
Perform additional duties as assigned.
Required Skills & Qualifications
Bachelor’s degree in CS, Engineering, or equivalent experience.
3+ years in development and automation roles.
Strong background in cloud-native infrastructure (AWS/Azure/GCP).
Proficiency in scripting and automation (Python preferred, Bash, etc.).
Strong understanding of CI/CD pipelines and DevOps tooling.
Experience applying AI/ML techniques (classification, clustering, anomaly detection).
Familiarity with ML frameworks (Scikit-learn, TensorFlow, PyTorch).
Solid knowledge of monitoring, logging, and observability.
8+ years proven experience with:
Administering GitHub Enterprise Cloud
Analyzing & resolving complex technical issues
Supporting and training users at all levels
Hands-on experience with Continuous Integration/Delivery models
Preferred Skills
Experience with anomaly detection, predictive analytics, or forecasting.
Knowledge of MLOps practices.
Integrating AI solutions into DevOps platforms.
Experience with IaC (Terraform, Pulumi, CloudFormation).
Experience with Hyper-V VM management.
Asset & service account management.
Experience with BMC Helix ticketing system.
3+ years supporting large Agile development projects.
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Thanks & Regards
Sekhar | Sr.IT Technical Recruiter
Tekwings LLC
Email : sekhar@tekwings.com
D: 512-593-6391
Tekwings Requirements Email group : https://groups.google.com/d/forum/tekwings_requrements_group1
LinkedIn Group: https://www.linkedin.com/groups/10421204/
LinkedIn: https://www.linkedin.com/in/sekhar-u-27b11a166/
To apply for this job email your details to SEKHAR@TEKWINGS.COM