AI Platform Engineer ( MCP, Python/GO, LLM )

Category Engineering Hire Type Employee Job ID 16606 Remote Eligible No Date Posted 04/14/2026

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 a visionary engineer passionate about harnessing artificial intelligence to revolutionize enterprise platforms. Your expertise lies in navigating complex technical challenges and delivering innovative automation solutions through intelligent system design. You bring a strong foundation in AI/ML, hands-on experience with prompt engineering, and a proven track record of integrating advanced tools across diverse platforms.

You thrive in collaborative environments, adept at translating business needs into scalable, secure, and reliable technical solutions. Compliance and vulnerability management are second nature to you, and you proactively embed best practices into your development workflow. You are excited by the prospect of architecting end-to-end AI automation within the Fluids Business Unit (FBU), enhancing global user experiences and streamlining workflows for maximum impact.

Your background includes MCP architectures, enterprise automation, and secure DevOps practices. You excel at integrating AI-powered tools into large-scale platforms, such as Copilot, and are driven by a relentless desire to innovate. As a leader and collaborator, you inspire those around you to strive for continuous improvement and technical excellence. You are committed to pushing the boundaries of what’s possible, ensuring the solutions you build are not only powerful but also future-ready.

What You’ll Be Doing:

• Designing and developing MCP-based AI tools for seamless cross-platform usage within the Fluids Business Unit.
• Implementing intelligent code generation, setup validation, automated report creation, and user-defined function (UDF) generation features.
• Enabling support for multiple LLM providers and models, ensuring portability and extensibility of AI solutions.
• Integrating FBU’s MCP server with the organization’s centralized MCP server for unified workflow automation.
• Collaborating with the framework team to embed AI tools into the Copilot platform, enhancing enterprise productivity.
• Ensuring all tools comply with enterprise security standards, certifications, and vulnerability management practices.
• Conducting rigorous security assessments and proactively mitigating vulnerabilities in AI pipelines and integrations.
• Architecting scalable AI automation solutions for end-to-end workflows within Fluids One, optimizing for performance and reliability.
• Optimizing AI workflows for maintainability, scalability, and seamless user experience.

The Impact You Will Have:

• Drive the AI transformation initiative within the Fluids Business Unit, advancing automation and intelligent system integration.
• Empower end-to-end automation in Fluids One, reducing manual intervention and accelerating productivity.
• Enhance the organization’s Copilot platform with advanced AI-powered tools that simplify complex workflows.
• Improve enterprise security posture by embedding robust compliance and vulnerability management into AI solutions.
• Foster innovation in AI toolchain development, supporting multi-provider and multi-model orchestration for maximum flexibility.
• Contribute to Synopsys’ leadership in AI-driven automation, setting industry standards for scalable and secure enterprise solutions.

What You’ll Need:

• Bachelor’s or Master’s degree in Computer Science, AI, Software Engineering, or a related field.
• Strong experience in AI/ML system design and integration, particularly in enterprise environments.
• Hands-on expertise with RAG architectures, large language models (LLMs), and prompt engineering.
• Proficiency in multi-model/multi-provider AI integration, developing cross-platform enterprise tools and APIs.
• Deep understanding of enterprise security practices, vulnerability scanning, and compliance requirements.
• Experience integrating AI solutions into enterprise platforms (e.g., Copilot-style systems).
• Strong programming skills in Python and GO Lang.
• Experience with microservices architecture and server integration.

Who You Are:

• Innovative and solution-oriented, always seeking to push the boundaries of what AI can achieve.
• Collaborative, with excellent communication skills and the ability to work across diverse teams.
• Detail-oriented and meticulous, ensuring high-quality and secure deliverables.
• Resilient and adaptable, capable of thriving in fast-paced, evolving environments.
• Proactive in identifying risks and implementing mitigation strategies.
• Committed to continuous learning and staying updated with industry advancements.

The Team You’ll Be A Part Of:

You will join the Fluids Business Unit’s AI transformation initiative, working alongside a dynamic group of engineers, architects, and framework specialists. The team is focused on delivering next-generation automation, validation, and intelligent code generation tools powered by AI. Together, you will collaborate with enterprise platform teams and contribute to integrating cutting-edge AI solutions into Synopsys' Copilot platform, driving innovation and shaping the future of intelligent automation.

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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At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.