AI Research
Posted 1 Oct 2026
Advertised as “AI Research Lead”
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 studyArtificial Intelligence, Computer Science, Electrical and Electronic Engineering, Engineering, Robotics, STEM (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 drive the research, development, and deployment of next-generation AI solutions, with a particular focus on Large Language Models (LLMs), Vision Language Models (VLMs), Computer Vision, and Multimodal AI systems.
This role is ideal for a highly technical professional who can bridge cutting-edge research and production engineering, translating innovative concepts into scalable, real-world solutions. You will lead AI initiatives, design experimentation frameworks, and provide technical leadership across multimodal AI projects.
Key Responsibilities:
- Lead research and development activities across LLM, VLM, and multimodal AI domains.
- Design, implement, and evaluate AI models incorporating text, image, and multimodal reasoning capabilities.
- Develop and optimise Retrieval-Augmented Generation (RAG) architectures.
- Drive experimentation, model evaluation, benchmarking, and validation activities.
- Fine-tune and adapt foundation models for business-specific use cases.
- Collaborate with engineering teams to transition research outputs into production-ready systems.
- Define AI system architectures leveraging cloud-native and distributed computing environments.
- Provide technical leadership and mentorship to AI engineers and researchers.
- Stay current with the latest academic and industry advancements in AI and machine learning.
Qualifications
Required Skills:
AI & Multimodal Systems
- Expertise with Large Language Models (LLMs) such as GPT, Llama, Mistral, or equivalent.
- Experience with Vision Language Models (VLMs) including CLIP, BLIP, and related multimodal architectures.
- Strong understanding of prompt engineering, fine-tuning, and model optimisation.