Role description
Job Description AI Engineer Infrastructure Validation AI Systems
We are seeking a highly skilled AI Engineer to design develop and deploy AIdriven solutions that improve infrastructure validation failure analysis and deployment efficiency
You will apply modern AI techniques to largescale logs telemetry firmware signals and operational workflows to automate rootcause analysis RCA enable predictive diagnostics and accelerate knowledge discovery for engineering teams
Key Responsibilities and Deliverables
1Design and build AI solutions for infrastructure validation and TRR automation including a validation assistant for engineers
2Develop intelligent automation that integrates with Azure DevOps ADO for pipelines bug management and workflow orchestration
3Create AICopilot systems for predictive analytics and diagnostics across hardware
4Build data ingestion and correlation pipelines across multisource telemetry logs and firmware data to support RCA and compliance validation
5Implement an AIdriven log analytics platform with intelligent notifications anomaly detection and guided remediation workflows
6Deliver a bug automation engine integrated with ADO and a knowledge copilot to surface similar incidents fixes and best practices
7Develop predictive failure detection and firmware compatibility analysis to reduce downtime and improve deployment readiness
Required Skills Qualifications
1LLM engineering Prompt engineering retrievalaugmented generation RAG finetuningevaluation and safetyquality best practices
2Log analytics anomaly detection and rootcause prediction models
3Programming Robust Python C Powershell is a plus for infrastructure integration
4AIML frameworks cloud Azure AI services OpenAI experience with PyTorch
5Working with largescale logs telemetry building reliable data pipelines
6Familiarity with Azure DevOps pipelines and bugincident management systems
7Scalable AI system design including APIbased microservices architectures
📌 Specialist - Data Sciences (Bengaluru)
🏢 LTM
📍 Bengaluru
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