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.
\nYou 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.
\nYou 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.
\nYou 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.
\nYour 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.
\nAs 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.
\nDesigning and developing MCP-based AI tools for seamless cross-platform usage within the Fluids Business Unit.\nImplementing intelligent code generation, setup validation, automated report creation, and user-defined function (UDF) generation features.\nEnabling support for multiple LLM providers and models, ensuring portability and extensibility of AI solutions.\nIntegrating FBU’s MCP server with the organization’s centralized MCP server for unified workflow automation.\nCollaborating with the framework team to embed AI tools into the Copilot platform, enhancing enterprise productivity.\nEnsuring all tools comply with enterprise security standards, certifications, and vulnerability management practices.\nConducting rigorous security assessments and proactively mitigating vulnerabilities in AI pipelines and integrations.\nArchitecting scalable AI automation solutions for end-to-end workflows within Fluids One, optimizing for performance and reliability.\nOptimizing AI workflows for maintainability, scalability, and seamless user experience.
\nDrive the AI transformation initiative within the Fluids Business Unit, advancing automation and intelligent system integration.\nEmpower end-to-end automation in Fluids One, reducing manual intervention and accelerating productivity.\nEnhance the organization’s Copilot platform with advanced AI-powered tools that simplify complex workflows.\nImprove enterprise security posture by embedding robust compliance and vulnerability management into AI solutions.\nFoster innovation in AI toolchain development, supporting multi-provider and multi-model orchestration for maximum flexibility.\nContribute to Synopsys’ leadership in AI-driven automation, setting industry standards for scalable and secure enterprise solutions.
\nBachelor’s or Master’s degree in Computer Science, AI, Software Engineering, or a related field.\nStrong experience in AI/ML system design and integration, particularly in enterprise environments.\nHands-on expertise with RAG architectures, large language models (LLMs), and prompt engineering.\nProficiency in multi-model/multi-provider AI integration, developing cross-platform enterprise tools and APIs.\nDeep understanding of enterprise security practices, vulnerability scanning, and compliance requirements.\nExperience integrating AI solutions into enterprise platforms (e.g., Copilot-style systems).\nStrong programming skills in Python and GO Lang.\nExperience with microservices architecture and server integration.
\nInnovative and solution-oriented, always seeking to push the boundaries of what AI can achieve.\nCollaborative, with excellent communication skills and the ability to work across diverse teams.\nDetail-oriented and meticulous, ensuring high-quality and secure deliverables.\nResilient and adaptable, capable of thriving in fast-paced, evolving environments.\nProactive in identifying risks and implementing mitigation strategies.\nCommitted to continuous learning and staying updated with industry advancements.
\nEngineering
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_0caad816-a4d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/pune/ai-platform-engineer-mcp-python-go-llm/44408/93232526208","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI/ML","Python","GO Lang","RAG architectures","Large Language Models (LLMs)","Prompt engineering","Multi-model/multi-provider AI integration","Cross-platform enterprise tools and APIs","Enterprise security practices","Vulnerability scanning","Compliance requirements","Microservices architecture","Server integration"],"x-skills-preferred":[],"datePosted":"2026-04-05T13:21:03.319Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI/ML, Python, GO Lang, RAG architectures, Large Language Models (LLMs), Prompt engineering, Multi-model/multi-provider AI integration, Cross-platform enterprise tools and APIs, Enterprise security practices, Vulnerability scanning, Compliance requirements, Microservices architecture, Server integration"}]}