Job Description

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 highly skilled AI Engineer passionate about transforming IT workflows into intelligent, agentic processes. Your expertise in Python, AI-driven IT automation, and IT infrastructure allows you to design and implement scalable and reliable AI-driven workflows that enhance IT operations. You thrive in collaborative environments, working closely with MLOps teams to ensure seamless deployment and optimization of AI solutions. Your ability to analyze and decompose complex IT workflows enables you to identify automation opportunities and create efficient, autonomous systems. With a strong focus on reliability and scalability, you ensure that AI-driven automation aligns with enterprise IT best practices and operates efficiently across cloud and hybrid IT environments. Your experience with ITSM platforms such as ServiceNow, BMC, or Jira, along with your knowledge of Kubernetes, Docker, and CI/CD pipelines, makes you an ideal candidate to lead the transformation of IT workflows into intelligent, self-sustaining AI-driven processes.

What You’ll Be Doing:

• Analyze and decompose IT workflows, identifying automation opportunities using agentic AI.
• Implement autonomous AI-driven workflows for incident management, self-healing systems, and intelligent service operations.
• Fine-tune AI models and develop prompt engineering strategies for optimized performance.
• Develop and maintain robust, scalable AI-powered IT workflows.
• Ensure AI-driven automation is fault-tolerant, efficient, and aligned with enterprise IT best practices.
• Work closely with IT teams to integrate AI workflows into existing operational frameworks.
• Partner with MLOps engineers to deploy, monitor, and optimize AI-driven workflows in production.
• Continuously improve deployed models through feedback loops and real-world performance tuning.
• Use Python to develop automation scripts, AI workflow integrations, and API-driven IT solutions.
• Work with Kubernetes, Terraform, and CI/CD pipelines to ensure automated deployment and lifecycle management.

The Impact You Will Have:

• Transform IT workflows into intelligent, agentic AI-driven processes.
• Enhance IT service efficiency through AI-driven incident resolution, self-healing systems, and workflow automation.
• Optimize IT operations by predicting, preventing, and resolving IT issues proactively.
• Ensure scalable AI deployment using Python, Kubernetes, and CI/CD for production-ready AI workflows.
• Reduce costs and improve reliability by minimizing downtime and optimizing resource usage with AI-powered automation.
• Enable self-healing IT systems and predictive issue resolution.

What You’ll Need:

• Strong expertise in Python for scripting, API development, and IT automation.
• Experience in agent-based AI frameworks and autonomous workflow orchestration.
• Familiarity with ITSM platforms such as ServiceNow, BMC, or Jira.
• Hands-on experience with Kubernetes, Docker, and cloud automation tools.
• Experience working closely with MLOps teams to deploy and scale AI-driven IT automation.

Who You Are:

• A proactive problem solver with a keen eye for detail.
• An effective communicator who can collaborate with cross-functional teams.
• Adaptable and able to thrive in a fast-paced, dynamic environment.
• Innovative and driven by a passion for continuous improvement.
• A strategic thinker with the ability to translate complex technical concepts into practical solutions.