New

Agentic AI Engineer

Ansys, Inc.
$101000-$151000
United States, Pennsylvania, Canonsburg
2600 Ansys Drive (Show on map)
Apr 27, 2026
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'rethe global leader in engineering simulation software, helping innovative companies solve complex design challenges. Ourcutting-edgesolutions 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,communicateclearly, andcollaborateeffectively 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 tonew technologiesand 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. WhatYou'llBe 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 softwarereliabilityand 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. The Impact You Will Have: 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. WhatYou'llNeed: Abachelor's degree in Computer Scienceor a relatedfield,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. Who You Are: 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. The Team You'll Be A Part Of: You will join theAnsysMechanicalteam-a dynamic,collaborative group of engineers dedicated to advancing the next generation of AI-powered agentic platforms. The team focuses on integratingstate-of-the-artAI systems into theAnsysMechanical product suite, working closely with product managers, designers, and other engineering teams to deliver innovative features that meet real-world user needs. You will find an environment that values creativity, technical rigor, and continuous learning. 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. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability. In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.