Agentic AI Architect

Please Note:1. If you are a first time user, please create your candidate login account before you apply for a job. (Click Sign In > Create Account)2. If you already have a Candidate Account, please Sign-In before you apply.Job Description:The Central Engineering Group is seeking an energetic, visionary, and passionate Agentic AI Architect tospearhead the design, deployment, and optimization of cutting-edge autonomous multi-agent AIarchitectures. In this strategic engineering role, you will be instrumental in revolutionizing IP blockdevelopment and support workflows across complex semiconductor design phases. You will leveragestate-of-the-art LLM orchestration, Model Context Protocol (MCP) integrations, and enterprise-gradeverification frameworks to drive unprecedented efficiency, quality, and automation in hardwareengineering environments. Experience: 10+ years of progressive, relevant experience in software architecture, AI systemsengineering, or semiconductor automation design. Education: Master’s degree or Ph.D. in Electrical Engineering, Computer Engineering, ComputerScience, 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 frameworkstailored to transform intricate semiconductor design workflows. Orchestrate long-horizon, autonomous agent executions capable of managing multi-stepreasoning, task decomposition, and decision-making across all phases of chipdevelopment and IP block lifecycle management. Enterprise Tool Ecosystem Integration & Protocols Seamlessly integrate Large Language Model (LLM)-driven agent pipelines with coreElectronic Design Automation (EDA) suites, custom in-house software tools, andenterprise 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 IPquality Integrate end-to-end auditability, traceability, and operational safety for non-deterministicAI agent outputs within mission-critical hardware design routines. Advanced Context & Memory Engineering Architect and optimize persistent short-term and long-term memory architectures thatempower autonomous agents to maintain contextual continuity. Enable agents to retain project state across iterative simulation regressions, complexdebugging sessions, and hardware bring-up feedback loops. Cross-Domain Strategic Orchestration Partner collaboratively with Design Leads, EDA Tool Specialists, and InfrastructureEngineers to distill complex, domain-specific hardware engineering methodologies intomodular, goal-driven agentic workflows. Align AI workflow capabilities directly with organizational efficiency targets and technicalmilestones across the Central Engineering Group.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 knowledgesources – including building and consuming Model Context Protocol (MCP) servers, andpackaging 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, andverification environments. Hands-on familiarity with industry-standard EDA tooling and frameworksfrom 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 safetyguardrails for non-deterministic AI systems in high-stakes environments. Technical depth in Vector Databases, and cloud-native containerized orchestrationpipelines.Compensation and BenefitsThe annual base salary range for this position is USD 129,400.00 To USD 207,000.00As 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.Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.SummaryLocation: USA-TX-Austin - River Place B7; USA-Mendota Heights-NorthlandType: Full time