Agentic AI Engineer

Date posted 04/16/2026
Category Engineering Hire Type Employee Job ID 16850 Base Salary Range $101000-$151000 Remote Eligible No Date Posted 04/16/2026

We Are:

At Ansys, Part of Synopsys, we're the global leader in engineering simulation software, helping innovative companies solve complex design challenges. Our cutting-edge solutions power advancements across industries, from aerospace to consumer electronics. Join us and help shape the future of technology.

You Are:

You are a skilled engineer passionate about creating AI-driven solutions that elevate user productivity. With a strong background in computer science, AI, and machine learning, you bring practical experience working with Large Language Models and scripting in Python. You thrive on solving complex problems, communicate clearly, and collaborate effectively across teams. Motivated, detail-oriented, and eager to learn, you enjoy turning innovative ideas into reliable, high-impact product features.

You approach challenges with curiosity and resilience, always looking for ways to innovate and improve. Comfortable with change, you adapt quickly to new technologies and requirements. You bridge the gap between theory and real-world application, ensuring AI solutions make a meaningful impact. Collaborative by nature, you value diversity and continuous learning, helping to build a positive and high-performing team culture. Your passion for AI drives you to deliver features that empower users and transform engineering tools through intelligent automation.

What You'll Be Doing:

• Designing and implementing robust, end-to-end agentic workflows within the Ansys Mechanical product using cutting-edge AI technologies.
• Analyzing real-world usage data to iteratively improve workflow effectiveness and user experience.
• Developing and optimizing embedding pipelines and integrating with vector databases to achieve high-performance, cost-effective AI systems.
• Creating, refining, and deploying high-quality Large Language Model prompts to deliver impactful AI-powered user interactions.
• Deploying AI workflows to local networks, ensuring secure and reliable integration into existing infrastructure.
• Investigating and resolving defects in production code, enhancing software reliability and user trust.
• Developing comprehensive unit tests for new features, ensuring maintainable and error-resistant codebases.
• Analyzing results from AI workflows to drive continuous improvements in software usability, reliability, and performance.

• Transforming advanced AI and agentic frameworks into tangible product features that elevate user productivity and satisfaction.

• Driving the adoption of innovative AI technologies within Synopsys' Mechanical Core, setting new standards for intelligent product design.
• Accelerating the development and deployment of high-impact AI solutions, directly influencing the capabilities of next-generation engineering tools.
• Enhancing the reliability and efficiency of AI-powered workflows, reducing operational friction for end users.
• Contributing to a culture of excellence, collaboration, and continuous learning within a high-performing engineering team.
• Enabling Synopsys to maintain its leadership in delivering intelligent, scalable, and future-ready technology solutions to a global market.

• A bachelor's degree in Computer Science or a related field , ideally with coursework in Artificial Intelligence and Machine Learning with2+ years of hands-on experience is a plus
• Demonstrable experience working with Large Language Models in production environments.
• Proficiency in scripting languages, especially Python, for rapid prototyping and workflow automation.
• Strong analytical and algorithmic problem-solving skills, with a focus on scalable and efficient solutions.
• Experience with unit testing, debugging, and code optimization in complex software systems.
• Familiarity with development tools such as Microsoft Visual Studio, Git, and GitHub.
• Exposure to NLP, Knowledge Graphs, and agentic workflows (reasoning, tool usage, automated task execution, Model Context Protocols).
• Knowledge of additional programming languages such as C++, C#, Go, Rust, or Java is a plus.

• An innovative and adaptable engineer with a growth mindset.
• Excellent written and verbal communicator, able to collaborate across teams and present complex ideas clearly.
• A responsible, motivated team player who takes ownership and delivers results.
• Detail-oriented with a passion for quality and continuous improvement.
• Curious and proactive, always seeking new ways to solve problems and add value.