Sr. AI Engineer – Enterprise Agentic AI

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Artificial Intelligence · Software Engineering

In short

Synopsys is seeking a Sr. AI Engineer to lead the architecture and development of enterprise agentic AI platforms. This role involves hands-on development of AI copilots and multi-agent workflows using Python and C#, integrating them into core business systems like ERP and CRM. The ideal candidate has 8-10 years of experience and a deep understanding of AI integration best practices.

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.

Requirements

8-10 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.

Desired Qualifications

Familiarity with LangChain, LangGraph, LlamaIndex, MCP, A2A.
Prior support for business functions such as Legal, Finance, Sales, or HR.

Benefits

Comprehensive range of health, wellness, and financial benefits.
Total rewards include both monetary and non-monetary offerings.
Eligible for an annual bonus, equity, and other discretionary bonuses.
Comprehensive health, wellness, and financial benefits as part of a competitive total rewards package.
Base salary range is across the U.S.

Skills

PythonC#Generative AIRetrieval-Augmented GenerationAPIsMicroservicesCI/CDObservabilitySQLNoSQLVector DatabasesLangChainLangGraphLlamaIndex

#AI#Agentic AI#Enterprise AI#Generative AI#Copilot#RAG#Python#C##Microsoft AI Copilot#SAP BTP#Salesforce

About Synopsys Inc

Smart, Secure Everything—From Silicon to Software Synopsys technology is at the heart of innovations that are changing the way we live and work. The Internet of Things. Autonomous cars. Wearables. Smart medical devices. Secure financial services. Machine learning and computer vision. These breakthroughs are ushering in the era of Smart, Secure Everything―where devices are getting smarter, everything’s connected, and everything must be secure. Powering this new era of technology are advanced silicon chips, which are made even smarter by the remarkable software that drives them. Synopsys is at…

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