Software Transformation Developer (AI Code Modernization)

Software Transformation Engineer (AI Code Modernization) 

Location: Hybrid – Quebec, Canada 

Bentley Systems is seeking a talented AI Systems Modernization Developer to become a valued member of a dedicated AI expert team. This global team’s main responsibilities are to innovate around the use of AI techniques, including multi-stage agentic workflows, to automatically convert and upscale academic or legacy code into cloud native services and apps. The team will collaborate with, support, and guide other software developers in the company around AI topics. 

The team reports to the CTO and will be in a leadership position to contribute to, evangelize, and operationalize the AI vision for the company. The team will also run programs in support of best practices across the company. This position should appeal to candidates who enjoy bleeding-edge technology, deep technical discussions, and exposure to a wide variety of technology stacks. Bentley has hundreds of products, including desktops, mobiles, traditional servers, and cloud microservices. 

Responsibilities 

• Create and monitor an AI code modernization pipeline 

• Develop tools and automation supporting the team’s responsibilities 

• Create rigorous and hardened test suites to ensure that converted code is accurate 

• Continuous research and continuous improvement of AI workflows to ensure best inc lass automated code conversion and modernization 

• Continuously monitor conversion speed against cost and quality, and optimize tradeoffs accordingly 

• Train developers and/or create educational supports 

Required Qualifications 

• Proven experiences in pipelines creation and cloud services 

• Strong interest in AI applied to software development and code transformation 

• Strong problem-solving capabilities 

• Results oriented mindset 

• Capability to research new topics and learn quickly 

• Experience breaking down complex systems for analysis 

• Experience designing, deploying, and operating cloud native services, particularly when modernizing legacy or compute intensive systems 

Optional Skills 

• Knowledge of Finite Element Analysis (FEA) 

• Practical experience with Fortran in production, research, or large-scale legacy environments 

• Experience validating numerical correctness or functional equivalence when migrating legacy systems 

• Exposure to performance sensitive, scientific, or simulation-based software 

• Experience modernizing scientific, mathematical, or simulation-based code for cloud environments 

• Exposure to numerical computing, HPC, or performance critical workloads 

• Knowledge of web technologies 

• Knowledge of Azure and/or GCP 

• Knowledge of Application Security (AppSec) and Cloud Security 

• Knowledge of containerization solutions such as Kubernetes, Docker, and Istio