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 have spent years building AI systems that have to scale across an enterprise, not just work in a lab notebook. 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. 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 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 Enable repeatable, scalable AI platform adoption across Synopsys, reducing time to deployment for recent 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 investments at the enterprise level, ensuring AI infrastructure decisions align with long-term business goals Elevate engineering quality and architectural maturity across the organization through mentorship, thought leadership, and hands-on collaboration Deep expertise in GenAI, LLMs, agentic AI patterns, and AI/ML platform design, with a track record of architecting systems that handle real production workloads Strong background in infrastructure-native architecture, distributed systems, and cloud platforms,



ideally with experience in high-availability or regulated environments Proven ability to design and influence enterprise-scale architectures that span multiple teams, business units, or product lines Solid understanding of security, compliance, and governance requirements for AI and infrastructure platforms, including model risk, data privacy, and auditability Thought leadership in the form of architecture reviews, technical publications, patents, or conference talks is a strong plus Experience working with hyperscalers like AWS, Azure, or GCP, and engaging with AI vendors or strategic technology partners Typically 15+ years in software engineering, architecture, or platform development, including 8+ years delivering large-scale infrastructure-native systems You are a visionary technical leader with deep architectural judgment who can see around corners and anticipate what will break before it does Mentorship matters to you, you actively coach senior engineers and architects, and you leave teams stronger and more capable than you found them You are adaptable and resilient, comfortable working through ambiguity and shifting priorities without losing sight of the long-term architecture You care about building inclusive teams and creating environments where different perspectives make the architecture better, not harder You represent Synopsys with confidence in front of customers, partners, and vendors, and you can hold your own in technical discussions at any level You will join a team of senior architects and platform engineers advancing Synopsys AI infrastructure and ecosystem platforms. The team focuses on scalable, secure GenAI and agentic AI systems, with strong emphasis on collaboration, mentorship, and enterprise-wide architectural excellence. In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

📌 Architecte Online (Mississauga)
🏢 Synopsys
📍 Mississauga