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Sr. Architect – GenAI, Agentic AI, Ecosystems and Platforms

Sunnyvale, California, United States

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Hire Type EmployeeJob ID 16603Base Salary Range $245000-$367000Date posted 04/19/2026

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

You Are:

You are an accomplished technical leader, recognised 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.

What You’ll Be Doing:

• 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 minimise 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:

• 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.

What You’ll Need:

• Recognised 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-organisation 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.

Who You Are:

• Visionary leader with strong business orientation and technical depth.

• Collaborative, able to unify technical voices and align stakeholders.

• Mentor and coach, elevating the technical bar for senior talent.

• Clear, persuasive communicator across all organisational levels.

• Strategic thinker with a passion for architectural integrity.

• Adaptable and resilient in fast-paced, evolving environments.

• Trusted advisor to executives, engineering, and strategic customers.

• Committed to diversity, inclusion, and fostering innovation.

The Team You’ll Be A Part Of:

You’ll join a high-impact team of senior architects and platform engineers dedicated to advancing Synopsys’ AI infrastructure and ecosystem platforms. This team operates at the forefront of technology, championing architectural excellence and driving enterprise-wide innovation. The team’s core focus is on building scalable, secure, and extensible GenAI and agentic AI systems, enabling transformative solutions for internal and external customers. Collaboration, mentorship, and technical leadership are central to the team’s culture, ensuring that Synopsys remains a leader in the AI and infrastructure space.

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.

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As the Sr. Manager of Engineering in our newly opened NYC engineering hub, you will work closely with product and research on cutting-edge technologies and be responsible for launching and growing new products, playing a key role in defining the future of how AI and data applications are built.

The Databricks AI Gateway is an enterprise control plane for governing, routing, and monitoring LLM endpoints, coding agents, and model serving endpoints on Databricks. AI Gateway lets you standardize, secure, and observe all LLM inference traffic on Databricks, while capturing detailed production data to manage cost, performance, and quality over time.

Key responsibilities include:

• Leading teams building multiple products that enable our customers to use innovative ML/AI techniques to add value to their business
• Working closely with product and research on cutting-edge technologies
• Being responsible for launching and growing new products
• Playing a key role in defining the future of how AI and data applications are built

Requirements include:

• 8+ years of industry experience building and supporting large-scale data or production applications
• Experience building classic ML or GenAI systems
• A passion for building and scaling early-stage products
• Ability to adapt in a fast-paced environment
• Motivated by delivering customer value and impact
• Experience driving company initiatives towards customer satisfaction
• BS/MS/PhD in Computer Science or related majors, or equivalent experience

Pay Range Transparency: Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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In this role, you will set technical direction and lead execution for ML evaluation and the end-to-end data flywheel powering CSxAI products. Your work will define how we measure quality, how we turn feedback into learning signals, and how we continuously improve models and products safely and efficiently.

You will partner closely with product, engineering, design, and operations to build evaluation systems that are trusted, scalable, and actionable - connecting offline metrics to online outcomes.

A typical day in this role will involve working with large-scale structured and unstructured data, exploring, experimenting, building, and continuously improving Machine Learning models and pipelines for Airbnb product, business, and operational use cases.

You will work collaboratively with cross-functional partners, including product managers, operations, and data scientists, to identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning, and drive engineering decisions.

Hands-on development, productionization, and operation of Machine Learning models and pipelines at scale, including both batch and real-time use cases, will also be a key part of this role.

You will leverage third-party and in-house Machine Learning tools and infrastructure to develop reusable, highly differentiating, and high-performing Machine Learning systems, enable fast model development, low-latency serving, and ease of model quality upkeep.

Your expertise will be critical in defining evaluation strategy and success metrics for GenAI systems, aligning offline evaluation with online business and customer experience outcomes.

You will build and scale evaluation frameworks with strong controls for bias, drift, and reliability, design the data flywheel, and lead cross-functional quality initiatives across product, ops, and engineering.

You will develop and productionize pipelines for dataset creation, model monitoring, evaluation-at-scale, and continuous testing, and drive technical decisions and architecture for evaluation and data infrastructure.

Minimum qualifications for this role include a PhD in Computer Science, Mathematics, Statistics, or a related technical field, industry experience of 10+ years building, testing, and shipping ML/AI systems end-to-end, and leadership experience of 5+ years leading large, ambiguous technical initiatives as a senior IC.

Preferred qualifications include customer support systems experience, infrastructure and quality at scale experience, agile practice for applied AI experience, and continuous learner experience.

This position is US-Remote Eligible, and the role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

Our job titles may span more than one career level, and the actual base pay is dependent upon many factors, such as training, transferable skills, work experience, business needs, and market demands.

The base pay range is $244,000-$305,000 USD, and this role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

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