Agentic AI Architect — Autonomous Multi-Agent Systems Lead

Broadcom Inc.

Austin (TX)

On-site

USD 129,000 - 207,000

Full time

11 days ago
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Benefits offered by this job

Medical, dental and vision plans
401(K) matching
Employee Stock Purchase Program (ESPP)
Paid holidays
Paid sick leave and vacation
Employee Assistance Program (EAP)

Job summary

Broadcom Inc. in Austin, Texas, seeks an Agentic AI Architect to spearhead the design, deployment, and optimization of autonomous multi-agent AI architectures within advanced semiconductor design projects.

The role emphasizes LLM orchestration, MCP integrations, and enterprise-grade verification to drive efficiency, quality, and automation across hardware design teams. A top-level candidate will have over 10 years in AI/software architecture and semiconductor automation.

Qualifications

  • Master's or PhD in EE/CS or related field.
  • 10+ years progressive experience in software architecture or AI systems engineering.
  • Experience in semiconductor automation design.

Responsibilities

  • Design, deploy and optimize autonomous multi-agent AI architectures.
  • Lead IP block development and support workflows across semiconductor design phases.
  • Leverage LLM orchestration and MCP integrations to improve efficiency, quality and automation.
  • Work with enterprise-grade verification frameworks to ensure robust hardware engineering processes.

Skills

AI systems engineering
Software architecture
Semiconductor automation design
LLM orchestration
MCP integrations

Education

Master’s degree in EE
Ph.D. in CS/EE

Tools

Verification frameworks
MCP integrations
Enterprise-grade tooling

Job description

Broadcom Inc. in Austin, Texas, seeks an Agentic AI Architect to spearhead the design, deployment, and optimization of autonomous multi-agent AI architectures within advanced semiconductor design projects.

The role emphasizes LLM orchestration, MCP integrations, and enterprise-grade verification to drive efficiency, quality, and automation across hardware design teams. A top-level candidate will have over 10 years in AI/software architecture and semiconductor automation.

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