Senior Engineer, AI Code Modernization

Bentley Systems • Exton, PA

39d • Hybrid

About The Position

Bentley is building a specialized AI Code Modernization team to apply advanced AI techniques to large-scale engineering software systems. The team develops AI-powered modernization pipelines to migrate and evolve complex legacy applications, including scientific and engineering codebases, into modern cloud-native architectures.

This highly applied engineering role sits at the intersection of software engineering, AI systems, developer tooling, and modernization automation. The role focuses on production impact, scalability, reliability, and accelerating modernization across Bentley's product portfolio. It is a hybrid position based in Exton, Pennsylvania, or Philadelphia, and does not require travel.

The successful candidate will modernize existing systems, apply AI in practical production-oriented ways, make thoughtful engineering tradeoffs, navigate ambiguity with rigor, and build systems that improve and scale over time. Bentley offers a collaborative environment, an attractive salary and benefits package, volunteer time through Bentley Impact Day, colleague recognition programs, and initiatives supporting inclusion, belonging, and wellbeing.

Bentley Systems is an infrastructure engineering software company with 5,200 colleagues and annual revenues of more than $1 billion. Its products support infrastructure design, construction, and operations across areas including transportation, water, public works, buildings, mining, and industrial facilities.

Requirements

• Strong software development background with ownership of production systems.
• Experience building, maintaining, or modernizing complex software applications.
• Demonstrated understanding of software performance, reliability, scalability, testing, and failure modes.
• Practical experience applying AI, machine learning, inference pipelines, optimization techniques, or intelligent automation to real-world problems.
• Systems-oriented mindset and ability to bring structure to ambiguous technical challenges.
• Experience designing pipelines, feedback loops, iterative systems, or large-scale developer tooling.
• Strong communication skills and ability to collaborate with technical and non-technical stakeholders.

Nice To Haves

• Experience with Rust, C++, C, or Fortran.
• Experience modernizing legacy systems or migrating applications to cloud-native architectures.
• Background in DevOps, CI/CD pipelines, testing frameworks, simulation systems, benchmarking, or validation tooling.
• Experience with engineering, scientific, mathematical, or simulation software.
• Familiarity with cloud platforms and distributed systems.
• Interest in emerging AI development patterns, agentic workflows, and software transformation technologies.

Responsibilities

• Design and build AI-driven software transformation pipelines for large-scale legacy codebases.
• Develop and improve agentic AI workflows for code understanding, refactoring, validation, and modernization.
• Modernize desktop, simulation, and engineering applications into cloud-native services and modern architectures.
• Use a loop engineering approach to improve quality, reduce costs, and accelerate conversion, testing, and correction.
• Evaluate and improve AI systems for accuracy, reliability, performance, observability, and cost efficiency.
• Create automated tooling, validation frameworks, and testing strategies to ensure transformed code is correct.
• Partner with architects, product leaders, and engineering teams to identify modernization opportunities and drive adoption.
• Contribute to technical direction, best practices, and reusable modernization frameworks across Bentley.
• Help establish and share expertise in the AI domain.

Benefits

• Attractive salary and benefits package.
• Bentley Impact Day, a day off to volunteer with an organization of the employee's choice.
• Colleague recognition award programs and the Bentley Achievers platform.
• Global initiatives and resource groups supporting inclusion, belonging, and colleague wellbeing.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed