Your primary focus will be on two core pillars: Orchestration & Patterns, and Infrastructure Intelligence. In the former, you will build the platform that allows teams to productionize their own automations using durable execution frameworks and standardized IaC patterns. In the latter, you will create, source, and enrich critical infrastructure and organizational data and make it accessible and actionable for both humans and AI agents.

To succeed in this role, you will need to design and develop high-performance internal tools and APIs using Go (Golang) to manage infrastructure metadata and lifecycle. You will also design complex, long-running workflows using durable execution frameworks (like Temporal) to orchestrate tasks across Git, Cloud providers, and CI/CD pipelines. Additionally, you will develop and implement Model Context Protocol (MCP) servers and Agentic AI workflows to automate the creation, upgrading, and auditing of infrastructure configurations.

You will collaborate with Infrastructure, Security, and Development teams to design 'Infrastructure Intelligence' tools that provide deep insights into asset ownership and EOL lifecycles. Your expertise in Go (Golang), Temporal, MCP, and A2A frameworks will be crucial in driving the success of this project.

If you're a motivated and knowledgeable software engineer with a passion for building infrastructure tools, we encourage you to apply for this exciting opportunity.

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Principal AI Engineer – Enterprise Agentic AI

Job Summary

You are a highly skilled, hands-on engineer with a passion for embedding advanced AI into the heart of enterprise business systems. With a robust enterprise background and a minimum of 10 years in software engineering, you thrive on architecting and delivering production-grade AI solutions that drive real business outcomes.

Key Responsibilities

• Lead the architecture and hands-on development of enterprise agentic AI platforms across core business domains.
• Build and deploy AI copilots and multi-agent workflows for business teams (Legal, Finance, Sales, HR, Operations) using Microsoft AI Copilot, SAP BTP, Salesforce, and other platforms.
• Embed AI directly into enterprise workflows, ensuring seamless integration with ERP and CRM systems.
• Design, implement, and govern secure AI solutions utilizing MCP (Model Context Protocol) and A2A (Agent-to-Agent) orchestration standards.
• Develop scalable APIs and microservices in Python and C#, supporting robust, production-ready AI deployments.
• Ensure production readiness through best practices in CI/CD, observability, reliability, and continuous evaluation.
• Mentor engineers, lead architectural discussions, and collaborate with cross-functional business and technical stakeholders.

Impact

• Drive the adoption of agentic AI across Synopsys' core business systems, setting standards for enterprise AI integration and governance.
• Deliver high-visibility, high-impact AI solutions that transform business processes and decision-making for teams company-wide.
• Shape the architecture and best practices for scalable, secure, and reliable AI across hybrid and multi-vendor environments.
• Empower business teams to leverage AI copilots and intelligent workflows for increased productivity and innovation.
• Mentor and upskill engineering teams, fostering a culture of excellence, collaboration, and forward-thinking AI adoption.
• Ensure AI solutions meet enterprise standards for security, compliance, reliability, and operational excellence.

Requirements

• 10–15 years of software engineering experience, with a focus on enterprise systems.
• Expert-level proficiency in both Python and C#.
• Hands-on experience building and operating production AI/GenAI systems integrated with ERP and CRM platforms.
• Deep understanding of agentic AI, RAG, multi-step workflows, and enterprise-grade AI architecture.
• Proven experience with Microsoft AI Copilot, Copilot Studio, Microsoft AI Foundry, SAP BTP, and Salesforce AI (including Einstein and agentic capabilities).
• Expertise in microservices, API development, CI/CD pipelines, and cloud deployments.
• Experience with SQL, NoSQL, and vector databases.
• Preferred: Familiarity with LangChain, LangGraph, LlamaIndex, MCP, A2A, and prior support for business functions such as Legal, Finance, Sales, or HR.

Who You Are

• Enterprise-minded engineer with a strong platform and architecture focus.
• Hands-on leader who enjoys mentoring and collaborating across business and technical teams.
• Pragmatic, delivery-oriented, and able to translate business needs into robust AI solutions.
• Adaptable and comfortable working in fast-changing, multi-vendor, and hybrid environments.
• Excellent communicator, able to articulate complex technical concepts to diverse audiences.
• Committed to continuous learning and keeping pace with the latest in AI and enterprise technology.

The Team You’ll Be A Part Of

You will join a cross-functional, forward-thinking engineering team responsible for embedding trustworthy, scalable AI into Synopsys’ most critical business systems. Our team partners closely with business stakeholders and platform owners to deliver agentic AI workflows that create measurable business value. We are passionate about innovation, operational excellence, and setting the standard for enterprise AI adoption.

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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What you'll do

• Architect multi-agent systems and agentic workflows for IP R&D automation
• Design and implement AI copilots with tool use, planning, and memory capabilities

What you need

• 5+ years in software development with AI/ML focus
• Expertise in GenAI, RAG, and agentic AI systems

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