AI Research
Posted 1 Oct 2026
Advertised as “AI Research Lead - Engineering Simulation”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- People management
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
Field of studyAerospace Engineering, Applied Mathematics, Artificial Intelligence, Computational Engineering, Engineering, Mechanical Engineering (or related)
Study levelBachelor's or higher
Company Description
ALTEN is a global engineering and technology consultancy operating across over 35 countries worldwide. We partner with industry leaders across sectors including Aeronautics, Aerospace, Defence, Naval, Automotive, Energy, Rail, IT and many more to deliver innovative engineering solutions that drive technological advancement & support sustainable transformation.
Our teams of passionate and agile engineers work on cutting-edge projects that shape the future of technology and sustainability. At ALTEN, we empower talented engineers to innovate, solve complex challenges, and deliver impactful solutions that build tomorrow’s world—today.
Join us and start building tomorrow’s world today!
Job Description
We are seeking an experienced AI Research Lead to support the development of advanced AI solutions involving Large Language Models (LLMs), Vision Language Models (VLMs), Computer Vision, and Multimodal AI systems. The successful candidate will combine strong research expertise with hands-on engineering experience, leading the design, evaluation, and deployment of innovative AI capabilities from concept through to production.
This role requires an individual who can bridge academic research and industrial application, translating cutting-edge AI techniques into scalable, production-ready solutions.
Key Responsibilities:
- Lead R&D activities at the intersection of AI, simulation, and mechanical engineering.
- Develop AI-enabled engineering simulation capabilities.
- Support Digital Twin development and deployment.
- Apply machine learning techniques to improve simulation accuracy and efficiency.
- Bridge research and production deployment of advanced modelling solutions.
- Collaborate with engineering, systems, and software teams on complex technical programmes.
Qualifications
Required Skills:
- Mechanical engineering, simulation, or computational modelling background.
- Experience with FEA, CFD, and/or multiphysics simulation.
- Strong Python development skills.
- Experience applying AI/ML techniques to engineering and simulation problems.
- Experience developing surrogate models, reduced-order models, or Physics-Informed Neural Networks (PINNs).
- Experience working with engineering simulation platforms such as:
- ANSYS
- Abaqus
- COMSOL
- Experience designing and executing research programmes and validation studies.