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Intel Corporation

AI Software Development Engineer

Intel Corporation

AI Software Development Engineer at Intel designing and building production-grade infrastructure for agentic AI systems. Focused on resilient solutions enabling complex multi-agent workflows and data integrations.

Posted 5/19/2026full-timePhoenix • Arizona, California, Oregon • 🇺🇸 United StatesMid-LevelSenior💰 $195,200 - $275,580 per yearWebsite

Tech Stack

Tools & technologies
Distributed SystemsPython

About the role

Key responsibilities & impact
  • Build and scale production-grade data infrastructure for agentic AI systems.
  • Engineer resilient platforms for long-running agent workflows and multi-agent coordination.
  • Deliver data pipelines and integrations that connect agents to enterprise data.
  • Productionize graph-based orchestration for planner-executor-validator patterns.
  • Implement explicit state and control flows.
  • Enable robust agent-tool integration across APIs, services, data systems.
  • Support multi-agent collaboration patterns.
  • Design and maintain data pipelines connecting distributed enterprise data.
  • Build and operate event streaming, API management infrastructure.
  • Define and track SLIs/SLOs for task completion reliability.
  • Implement CI/CD practices tailored for agent deployments.
  • Optimize compute, storage, and inference paths for sustained agent throughput.
  • Implement full-stack observability for agent runs.

Requirements

What you’ll need
  • Master’s degree in software engineering, Computer Engineering, Information Technology, or related field with 5+ years of experience.
  • OR PhD in Software Engineering, Computer Engineering, Information Technology, or related field with 3+ years of experience.
  • Experience in DevOps, SRE, data engineering, or infrastructure engineering for production AI or distributed systems.
  • LLM serving, retrieval infrastructure, and runtime control for non-deterministic systems.
  • Graph-based or agent orchestration frameworks.
  • Experience building RAG and knowledge-graph-backed systems for LLM applications in production.
  • Python skills for orchestration, data pipeline development, and platform automation.

Benefits

Comp & perks
  • competitive pay
  • stock bonuses
  • health
  • retirement
  • vacation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data infrastructuredata pipelinesgraph-based orchestrationCI/CD practicesevent streamingAPI managementPythonagent orchestration frameworksRAG systemsknowledge-graph-backed systems
Soft Skills
collaborationresilienceoptimizationcommunicationproblem-solving
Certifications
Master’s degreePhD