This role focuses on building and scaling production-grade data infrastructure for agentic AI systems that operate autonomously. The team is responsible for engineering resilient platforms that support complex workflows and multi-agent coordination in enterprise environments. The position emphasizes the importance of reliability, control, and data governance over traditional chatbot patterns. Candidates will work on integrating agents with enterprise data and ensuring high-quality data pipelines.

• Master’s degree in software engineering, Computer Engineering, Information Technology, or related field with 5+ years of experience, or a PhD with 3+ years of experience.
• Experience in DevOps, SRE, data engineering, or infrastructure engineering for production AI or distributed systems.
• Proficiency in Python for orchestration, data pipeline development, and platform automation.
• Experience with graph-based or agent orchestration frameworks.

• Productionize graph-based orchestration for various agent workflows.
• Implement explicit state and control flows including branching and human approval checkpoints.
• Design and maintain data pipelines connecting distributed enterprise data to a centralized knowledge layer.
• Define and track SLIs/SLOs for task completion reliability and quality across agent pipelines.
• Build incident response and reliability practices for autonomous workflows.

• Intel offers a comprehensive benefits package including competitive pay, stock programs, healthcare coverage, retirement plans, paid time off, parental leave, and programs supporting employee wellbeing and professional development.