Head of Agentic AI Systems Engineering

Idaho National Laboratory

Idaho Falls (ID)

On-site

USD 159,000 - 237,000

Full time

10 days ago
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Benefits offered by this job

Medical benefits
401(k) match
Relocation package
Paid time off
Tuition assistance
Flexible spending accounts

Job summary

Idaho National Laboratory seeks a Department Manager to lead the Agentic AI Systems Engineering group, guiding a multidisciplinary team of computational scientists and AI engineers. The role focuses on architecting agentic AI systems, multi-agent orchestration, and integrating domain codes into agent workflows to support nuclear energy research and national programs.

The candidate will establish department direction, oversee performance and workforce planning, and foster collaboration across INL

Qualifications

  • Experienced in leading AI, software and computational science teams.
  • Ability to align priorities and resources with organizational objectives.
  • Familiarity with agentic AI architectures and multi-agent systems.

Responsibilities

  • Lead the department in architecting and deploying agentic AI systems and multi-agent workflows.
  • Set department direction, priorities, and objectives aligned with mission needs.
  • Provide leadership and performance management for staff and workforce planning.
  • Build and sustain technical talent and capabilities for scalable agentic systems.
  • Foster cross-disciplinary collaboration to enable execution across programs and research.
  • Develop partnerships with internal organizations and DOE interfaces, ensuring safe, accountable delivery.

Skills

Team leadership
Multidisciplinary teams
Agentic AI
AI architectures
Orchestration platforms

Tools

Tool-call frameworks
Code integration pipelines

Job description

Idaho National Laboratory seeks a Department Manager to lead the Agentic AI Systems Engineering group, guiding a multidisciplinary team of computational scientists and AI engineers. The role focuses on architecting agentic AI systems, multi-agent orchestration, and integrating domain codes into agent workflows to support nuclear energy research and national programs.

The candidate will establish department direction, oversee performance and workforce planning, and foster collaboration across INL

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