Architect – GenAI, Agentic AI, Ecosystems and Platforms

Architect – GenAI, Agentic AI, Ecosystems and Platforms

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. Join us to transform the future through continuous technological innovation.

You are an accomplished technical leader, recognized for your deep expertise and visionary thinking in AI and infrastructure-native architectures. With a rare blend of hands-on engineering experience and strategic business acumen, you thrive in complex environments where you translate ambitious business goals into robust, scalable, and secure AI solutions. You understand the intricacies of GenAI, agentic AI, and distributed systems, and you are adept at influencing enterprise-wide technology decisions and investments.

Your passion for advancing AI frameworks and platforms is matched by your commitment to architectural integrity and technical excellence. You are a trusted advisor to both executives and engineering teams, capable of communicating complex ideas clearly and persuasively to diverse audiences. Mentoring senior architects and engineers comes naturally to you, as you elevate those around you and set a high bar for quality.

You thrive in collaborative, cross-functional settings, unifying technical voices and aligning business needs with sustainable architectural choices. You are comfortable representing Synopsys as a senior technologist with customers, partners, and industry forums. Your long-term vision, systems thinking, and ability to drive measurable business outcomes make you an invaluable contributor to our enterprise strategy and technical leadership.

Defining and maintaining enterprise architecture blueprints for GenAI, Agentic AI, and Infrastructure solutions.

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.

Enable scalable and repeatable AI platform adoption across the enterprise.

Reduce technical risk and architectural fragmentation through clear standards and governance.

Accelerate time-to-market via reusable, well-architected infrastructure and AI foundations.

Improve platform reliability, security, and performance for mission-critical AI workloads.

Enhance developer productivity and innovation velocity through strong architectural enablement.

Strengthen customer confidence by ensuring robust, enterprise-grade AI solutions.

Influence strategic technology investments with long-term architectural foresight.

Elevate overall engineering quality by mentoring senior technical talent.

Support revenue growth by enabling AI-driven products and differentiated capabilities.

Position Synopsys as a technical leader in agentic AI and infrastructure architectures.

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…