Infrastructure Automation & AI Engineer

Job Description
Must Have Technical/Functional Skills

Job Summary

We are seeking a highly skilled Infrastructure Automation & AI Engineer with strong expertise in Tanium, database technologies, Python automation, and emerging AI-driven operational use cases. The role focuses on building scalable, intelligent automation solutions across endpoint management, data platforms, and IT operations in a secure, enterprise environment. The candidate will work closely with infrastructure, security, data, and AI teams to enhance system reliability, visibility, and operational efficiency through automation and analytics.

Technical Skills

• Strong hands-on experience with Tanium platform administration and engineering.
• Expertise in Tanium modules, sensors, packages, and remediation actions.
• Proficient in Python for automation, scripting, and data processing.
• Solid experience with enterprise databases (Oracle, SQL Server, PostgreSQL, MySQL).
• Strong SQL skills including query optimization and performance tuning.
• Experience building and consuming REST APIs for system integration.
• Working knowledge of Windows and Linux endpoint and server environments.
• Experience handling large datasets, telemetry, and operational metrics.
• Exposure to AI/ML or Generative AI use cases in IT operations.
• Understanding of AI governance and responsible AI usage in enterprises.
• Familiarity with security, compliance, and audit requirements in regulated environments.

Experience: Minimum 6+ years

Roles & Responsibilities

• Design, deploy, and support Tanium modules including Asset, Deploy, Patch, Comply, and Interact.
• Create and optimize Tanium sensors, packages, and saved questions for automation and compliance.
• Automate endpoint visibility, patching, vulnerability remediation, and incident response.
• Integrate Tanium data with reporting, monitoring, and downstream enterprise systems.
• Develop Python-based automation for infrastructure operations and analytics.
• Build data pipelines and integrations for endpoint, system, and operational telemetry.
• Design and optimize SQL queries, data models, and database performance for reporting use cases.
• Apply AI/ML or GenAI concepts for anomaly detection, alert enrichment, and predictive operations.
• Support AI-assisted troubleshooting and intelligent remediation workflows.
• Ensure solutions comply with enterprise security, data privacy, and audit standards.
• Participate in change management, risk assessments, and production readiness reviews.
• Collaborate with infrastructure, security, data, and AI teams to deliver automation solutions.