Architect – GenAI, Agentic AI, Ecosystems and Platforms

You are an accomplished technical leader, recognized for your deep expertise and visionary thinking in AI and infrastructure-native architectures.

You will define and maintain enterprise architecture blueprints for GenAI, Agentic AI, and Infrastructure solutions.

Key responsibilities include:

• Architecting large-scale GenAI and agentic AI platforms to ensure scalability, reliability, security, and extensibility.
• Evaluating and guiding the adoption of emerging AI, infrastructure, and platform technologies.
• Driving architectural alignment across business units to minimize fragmentation and technical debt.
• Collaborating closely with product and business teams to translate requirements into technical architectures.
• Providing architectural oversight for critical programs, high-risk initiatives, and flagship customer deployments.
• Establishing and reviewing security, compliance, and governance architectures for AI and infrastructure platforms.
• Partnering with external vendors and hyperscalers to shape joint technical roadmaps and integrations.
• Authoring and reviewing architecture decision records and technical strategy documents that guide long-term execution.
• Mentoring and elevating senior and principal architects, fostering a culture of technical excellence.

The impact you will have includes:

• Enabling scalable and repeatable AI platform adoption across the enterprise.
• Reducing technical risk and architectural fragmentation through clear standards and governance.
• Accelerating time-to-market via reusable, well-architected infrastructure and AI foundations.
• Improving platform reliability, security, and performance for mission-critical AI workloads.
• Enhancing developer productivity and innovation velocity through strong architectural enablement.
• Strengthening customer confidence by ensuring robust, enterprise-grade AI solutions.
• Influencing strategic technology investments with long-term architectural foresight.
• Elevating overall engineering quality by mentoring senior technical talent.
• Supporting revenue growth by enabling AI-driven products and differentiated capabilities.
• Positioning Synopsys as a technical leader in agentic AI and infrastructure architectures.

Requirements:

• Recognized expertise in AI and agentic platforms, infrastructure-native architecture, and distributed systems.
• Deep knowledge of GenAI, LLMs, agentic AI patterns, and AI system design.
• Proven ability to design and influence enterprise-scale architectures across multiple teams or business units.
• Strong understanding of security, compliance, and governance in infrastructure and AI systems.
• Exceptional communication skills, with the ability to explain complex technical concepts to executive audiences.
• Demonstrated thought leadership through architecture reviews, technical publications, or patents.
• Experience working with hyperscalers, AI vendors, and strategic partners.
• Strong systems thinking and long-term architectural mindset.
• Track record of mentoring senior engineers and architects.
• Typically, 15+ years of experience in software engineering, architecture, or platform development.
• 8+ years designing and delivering large-scale infrastructure-native systems.
• Significant hands-on experience with AI/ML platforms and GenAI systems.
• Prior experience as a Principal Architect, Senior Architect, or equivalent technical leadership role.
• Demonstrated ownership of enterprise-critical platforms or architectures.
• Experience supporting both internal platforms and external/customer-facing systems.
• History of influencing cross-functional and multi-organization technical initiatives.
• Experience operating in complex, highly regulated, or high-availability environments.
• Exposure to multi-infrastructure or hybrid architectures.
• Consistent record of delivering long-term technical impact beyond individual projects.