Agentic AI Architect

Broadcom; Austin (TX); On-site; USD 129,000 - 207,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity grants and annual equity awards

Medical, dental and vision plans

401(k) with company match

Employee Stock Purchase Program (ESPP)

Employee Assistance Program (EAP)

Job summary

Broadcom seeks an Agentic AI Architect to lead autonomous multi-agent systems for cutting-edge semiconductor IP block development and verification. You will architect and deploy LLM-driven pipelines, integrate MCP servers, and coordinate with EDA toolchains across complex hardware design phases.

The role requires 10+ years in software architecture or AI systems for semiconductor automation, with a Master’s or PhD in a related field. Expect equity grants and a comprehensive benefits package.

Qualifications

• Proven experience architecting production-grade LLM applications with multi-agent orchestration.
• Experience integrating agentic systems with enterprise tools and knowledge sources, including MCP.
• Strong background in semiconductor software architecture and hardware design workflows.

Responsibilities

• Design, deploy, and scale autonomous multi-agent AI architectures for chip development.
• Integrate LLM-driven agent pipelines with EDA tools and enterprise data stores.
• Implement HITL review gates, deterministic verification, and safety guardrails.
• Ensure auditability, traceability, and safety for non-deterministic AI in hardware routines.
• Collaborate with Design Leads and Infrastructure Engineers to modularize workflows.

Skills

LLM orchestration

Multi-agent systems

Python

REST APIs

Docker

Kubernetes

SystemVerilog/UVM

EDA tooling

Vector databases

Education

Master’s or Ph.D. in EE/CE/CS or related field

Tools

LangGraph

MCP servers

Synopsys/Cadence/Siemens EDA

Job description

The Central Engineering Group is seeking an energetic, visionary, and passionate Agentic AI Architect to spearhead the design, deployment, and optimization of cutting-edge autonomous multi-agent AI architectures. In this strategic engineering role, you will be instrumental in revolutionizing IP block development and support workflows across complex semiconductor design phases. You will leverage state-of-the-art LLM orchestration, Model Context Protocol (MCP) integrations, and enterprise-grade verification frameworks to drive unprecedented efficiency, quality, and automation in hardware engineering environments. Experience: 10+ years of progressive, relevant experience in software architecture, AI systems engineering, or semiconductor automation design.

• Education: Master’s degree or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a closely related technical field.

Key Job Responsibilities

• Autonomous Multi-Agent System Architecture & Scaling
• Conceptualize, architect, deploy, and scale robust, distributed multi-agent AI frameworks
• Orchestrate long-horizon, autonomous agent executions capable of managing multi-step reasoning, task decomposition, and decision-making across all phases of chip development and IP block lifecycle management
• Enterprise Tool Ecosystem Integration & Protocols
• Seamlessly integrate Large Language Model (LLM)-driven agent pipelines with core Electronic Design Automation (EDA) suites, custom in-house software tools, and enterprise data repositories
• Drive standardized tool-use integration protocols, including the Model Context Protocol (MCP), ensuring seamless interoperability across heterogeneous software environments
• Governance, Risk Mitigation & Safety Guardrails
• Formulate and implement comprehensive human-in-the-loop (HITL) review gates, deterministic verification logic, and safety guardrails to maintain zero degradation in IP quality
• Integrate end-to-end auditability, traceability, and operational safety for non-deterministic AI agent outputs within mission-critical hardware design routines
• Advanced Context & Memory Engineering
• Architect and optimize persistent short-term and long-term memory architectures that empower autonomous agents to maintain contextual continuity
• Enable agents to retain project state across iterative simulation regressions, complex debugging sessions, and hardware bring-up feedback loops
• Cross-Domain Strategic Orchestration
• Partner collaboratively with Design Leads, EDA Tool Specialists, and Infrastructure Engineers to distill complex, domain-specific hardware engineering methodologies into modular, goal-driven agentic workflows
• Align AI workflow capabilities directly with organizational efficiency targets and technical milestones across the Central Engineering Group

tailored to transform intricate semiconductor design workflows.

reasoning, task decomposition, and decision-making across all phases of chip development and IP block lifecycle management.

Required Skillset & Technical Competencies

• AI Engineering & Multi-Agent Expertise:
• Experience architecting production-grade LLM applications: multi-agent orchestration, function-calling/tool-use, and retrieval-augmented generation (RAG)
• Experience integrating agentic systems with enterprise tools, services, and knowledge sources – including building and consuming Model Context Protocol (MCP) servers

Packaging Reusable Agent Capabilities (e.g., Agent Skills)

• Deep experience with agent orchestration frameworks such as LangGraph
• Semiconductor Domain Knowledge & EDA Tooling:
• Fundamental grasp of chip design methodologies, IP block development lifecycles, and verification environments
• Hands-on familiarity with industry-standard EDA tooling and frameworks from Synopsys, Cadence, and Siemens EDA, alongside System Verilog & UVM verification environments
• Software Engineering & Infrastructure Mastery:
• High proficiency in core programming languages and system design concepts, specifically Python and TCL
• Expertise in microservices architecture, REST APIs, Docker, Kubernetes, Sandboxing, and config-driven workflow orchestration engine design
• AI System Verification & Data Engineering:
• Proven experience establishing evaluation metrics, testing benchmarks, and safety guardrails for non-deterministic AI systems in high-stakes environments
• Technical depth in Vector Databases, and cloud-native containerized orchestration pipelines

Compensation And Benefits

• The annual base salary range for this position is USD 129,400.00 To USD 207,000.00
• As a valued member of our team, you'll be eligible for a discretionary annual bonus and the opportunity to receive not only a competitive new hire equity grant, but also annual equity awards, connecting your success directly to the company's growth. All subject to relevant plan documents and award agreements.
• Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.

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