AI Architect

We Are: Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. You Are: You have spent years building AI systems that have to scale across an enterprise, not just work in a lab notebook. You know the difference between a GenAI demo that impresses in a boardroom and a platform that actually survives production traffic, compliance audits, and the reality of 50 teams trying to use it at once. You have learned that the hardest part of architecture is not drawing the boxes, it is getting everyone to agree on what goes inside them and why. You think in systems, not features. When someone asks for a new AI capability, you are already mapping dependencies, security boundaries, and what breaks if this scales 10x. You have sat in rooms with executives translating business outcomes into technical strategy, and in rooms with engineers translating that strategy into something they can actually build. You do not need perfect requirements. You ask the right questions, build consensus across teams that do not always agree, and move forward without creating chaos downstream. You have a point of view on what good AI architecture looks like, and you are not afraid to push back when a proposal introduces fragmentation or technical debt. At Synopsys, you will shape platforms that power AI-driven products across a 30,000-person company, and the decisions you make will matter for years.

Define and evolve enterprise-scale blueprints for GenAI, agentic AI, and AI infrastructure platforms that multiple business units can adopt and extend Architect reference implementations for scalable, secure, reliable AI systems, including LLM orchestration, agent frameworks, and model deployment pipelines Drive cross-functional alignment on standards, architectural decision records, and governance models that reduce fragmentation and prevent technical debt from accumulating Partner directly with product and engineering teams to translate business requirements into executable architectures for critical AI programs and customer-facing deployments Establish and enforce governance frameworks for security, compliance, and platform lifecycle management across distributed AI workloads Engage with hyperscalers, AI vendors, and strategic partners to shape roadmaps, evaluate integrations, and represent Synopsys in technical discussions Mentor senior architects and engineers, conducting architecture reviews and raising the bar for systems thinking and long-term design quality across the organization The Impact You Will Have: Enable repeatable, scalable AI platform adoption across Synopsys, reducing time to deployment for new AI-driven capabilities Cut architectural risk and fragmentation by establishing clear standards, patterns, and decision frameworks that teams actually follow Accelerate delivery timelines through reusable platform foundations that improve developer productivity and reduce reinvention Improve reliability, security, and performance for mission-critical AI workloads supporting both internal tools and customer-facing products Strengthen customer and partner confidence in Synopsys AI capabilities, directly enabling product growth and competitive differentiation Influence strategic technology