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# AI Deployment Engineer

- **Company:** Augur SAS
- **Location:** Paris, France
- **Contract:** Permanent contract
- **Skills:** Computer-Aided Design, Application Programming Interfaces (APIs), Artificial Intelligence, Computational Fluid Dynamics, Computer Simulation, Computer Programming, Python (Programming Language), Machine Learning, Software Deployment, Star CCM+, Ansys
- **Published:** November 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2ba6737074f8e5f1

## About the Role

* Advanced Engineering Foundation: You hold a Master's or PhD in Mechanical Engineering, Aerospace, Physics, or a related quantitative field.
 * Programming & AI Expertise: You are a Python power user. Beyond standard scripting, you have hands-on experience working with Machine Learning models and understand how to prepare, normalize, and interface industrial data with AI frameworks.
 * Simulation & CAD Knowledge: Ideally, you are a power user of numerical simulation tools (CFD/FEA like OpenFOAM, Ansys, or Star-CCM+). At a minimum, you have a good understanding of CAE software, and you understand why traditional solvers are the current bottleneck.
 * Strong Communicator: You are a technical storyteller. You can simplify complex AI concepts for traditional engineers and translate industrial physics requirements into actionable insights for our research team.

## Description

You are the technical face of Augur. Your goal is to ensure our customers can transition from legacy simulation workflows to AI-accelerated design without compromising on accuracy.

 * Deployed: Lead technical pilots with global industrial leaders. You will take their specific CAD/mesh data, run baseline simulations, and demonstrate how our AI models provide real-time, high-fidelity feedback.
 * Build AI-Driven Workflows: Use Python and our internal APIs to automate the integration of our models into existing industrial PLM and simulation stacks.
 * Translate Engineering Needs: You will translate customer requirements into technical specs for our AI Scientists, ensuring our models solve the right physical problems.
 * Benchmarking & Validation: Be the "source of truth" for accuracy. You will perform rigorous comparisons between traditional solvers (OpenFOAM, Ansys, etc.) and our models to build trust with mission-critical engineering teams.
 * Customer Success & Growth: Drive the technical adoption of our platform, helping customers move from a single pilot to a full-scale deployment across their design teams.