Principal AI Workflow Engineer

Category Engineering Hire Type Employee Job ID 15033 Remote Eligible No Date Posted 02/01/2026

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. 

You Are:

You are an accomplished AI engineer with a deep understanding of GenAI, RAG, and agentic AI systems. You enjoy architecting robust, production-ready solutions that streamline technical workflows and empower teams. 

What You’ll Be Doing:

Agent & Workflow Development

• Architect multi-agent systems and agentic workflows for IP R&D automation
• Design and implement AI copilots with tool use, planning, and memory capabilities
• Build prompt systems and orchestration logic for complex, multi-step tasks

RAG & Knowledge Systems

• Design retrieval pipelines for semiconductor IP documentation (specs, verification reports, design docs)
• Build ETL (Extract-Transform-Load) workflows for document parsing, chunking, and semantic enrichment
• Optimize retrieval quality through evaluation, reranking, and hybrid search strategies

Integration & Interoperability

• Implement MCP (Model Context Protocol) servers/clients for secure context sharing across enterprise tools
• Build A2A (Agent-to-Agent) integrations connecting AI services with existing IP development workflows
• Develop APIs enabling seamless interaction between agents and EDA (Electronic Design Automation) tools

Production & Reliability

• Establish evaluation frameworks: retrieval metrics, agent task success rates, output quality scoring
• Implement guardrails for output validation, hallucination detection, and domain accuracy
• Build observability infrastructure: tracing, token usage monitoring, latency tracking
• Optimize for cost/performance through caching, model routing, and token management

Collaboration

• Partner with IP designers and verification engineers to capture domain expertise
• Translating R&D workflow pain points into AI-powered solutions
• Document architecture, prompt strategies, and integration patterns for team scaling

The Impact You Will Have:

• Accelerate IP development cycles through intelligent automation
• Reduce manual effort via smart copilots and agentic workflows
• Enable data-driven decisions through AI-powered insights
• Improve accuracy and consistency across verification and documentation tasks

What You’ll Need:

• 5+ years in software development with AI/ML focus
• Expertise in GenAI, RAG, and agentic AI systems
• Advanced Python proficiency (modularity, testing, documentation)
• Understanding of semiconductor IP development practices
• Experience with ETL pipelines, observability, and cloud deployment
• BS in Engineering, Computer Science, or related field

Nice to Have:

• Experience with agentic frameworks (e.g., LangChain, LlamaIndex, CrewAI, or equivalent)
• Familiarity with MCP and A2A integration patterns
• Background in EDA tool integration

Who You Are:

• Innovative problem-solving with AI
• Strong cross-functional collaboration skills
• Ability to translate technical concepts for diverse audiences
• Self-motivated, adaptable approach to continuous learning

The Team You’ll Be A Part Of:

Join an engineering team pioneering GenAI solutions for Digital Interface Controller IP, working closely with stakeholders to deliver transformative AI applications. 

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. 

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.