Location: Dublin, Ireland (Hybrid) The role will be working in the EDT time zone Position Summary The AI Operations Enablement team serves as the engine for Bentley Systems' internal AI transformation.
Our mission is to accelerate the adoption and impact of artificial intelligence across every part of the organization.
We partner with our global business units - from product and engineering to marketing and finance to identify high-value opportunities and deliver practical, scalable AI solutions.
By developing core processes, providing tools training and sharing expertise, we empower our global teams across the company to innovate responsibly and effectively.
The Enterprise AI Engineering team is responsible for selecting and building platforms that drive colleagues and their teams' ability to adopt AI.
As an AI Software Engineer, you will leverage your software engineering experience combined with recent GenAI and ML skills to design enterprise-grade platforms that will power Bentley's business processes of the future.
Responsibilities You will be a hands-on builder, writing the code for our core AI platforms.
This includes creating DevOps pipelines for fellow developers, building task automation platforms, and implementing self-service features in Gemini Enterprise You will build out the full solution, from backend services to the intuitive UIs that drive adoption of our platforms, ensuring a seamless experience for the engineers and business teams who use them You will write the software that connects our platforms to cutting-edge models from our data science and research teams, making them accessible and scalable for the entire organization You will apply modern development practices, including agent-driven development (ADD) and test-first approaches, to deliver high-quality, reliable, and well-tested platform components You will collaborate with the AI Business Solutions team to ensure platform components meet requirements, contribute to Bentley Copilot by building and maintaining agents and deployment sandboxes, and implement and test integrations with 3rd party applications and vendor technologies.
Qualifications Bachelor's degree in Computer Science, Engineering, or a related field Around 3 years of professional software development experience Strong proficiency in an object-oriented programming language such as Python, Java, or C# Hands-on experience developing and deploying applications using services from a major cloud provider (e.g., Azure Functions, AWS Lambda, GCP Cloud Run) Experience building and consuming RESTful APIs Experience with components of MLOps, such as building CI/CD pipelines for model deployment (e.g., Jenkins, GitHub Actions) Practical experience with containerization using Docker and deploying services to Kubernetes Familiarity with building simple UIs using a web framework (e.g., Streamlit, Flask, React) or low-code tools Experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain) for model integration What We Offer A great Team and culture – please see our colleague video .
An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction - watch this short documentary about how we got our start.
An attractive salary and benefits package.
A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups.
A company committed to making a real difference by advancing the world's infrastructure for better quality of life, where your contributions help build a more sustainable, connected, and resilient world.
Discover our latest user success stories for an insight into our global impact.
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