Design, implement, and maintain RAG (Retrieval‑Augmented Generation) pipelines using enterprise data sources.
Build and orchestrate agentic AI workflows for IT operations use cases.
Integrate LLMs into secure, production-grade automation solutions using industry‑standard frameworks.
Develop internal tools and services that augment IT teams.
Automate employee onboarding and offboarding workflows.
Create self‑service capabilities that allow employees to request access, resolve common issues.
Mentor system administrators and engineers in AI‑assisted operations and automation design.

Requirements

8+ years of experience in IT infrastructure, operations, or engineering roles.
3+ years of hands‑on experience with AI/ML platforms, intelligent automation, RPA, or advanced workflow automation.
Strong proficiency in Python for automation and service development.
Experience building and consuming RESTful APIs.
Hands‑on experience with Microsoft Power Automate (and related Power Platform components).
Experience working in cloud environments (AWS and/or Azure).
Practical experience integrating and operating LLMs (OpenAI, Anthropic, Microsoft) in enterprise scenarios.
Familiarity with modern LLM frameworks and orchestration patterns.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAI/ML platformsintelligent automationRPAworkflow automationRESTful APIsLLMsMicrosoft Power Automatecloud environmentsautomation design

Soft Skills

mentoringcommunication