Applied AI Research Scientist - Generative and Agentic AI / Scientifique en IA Appliquée- IA Générative et Agentique
HybridQuébec, Quebec, Canada
Québec, Quebec, CanadaHybridFull TimeSenior LevelDoctorate Or Professional DegreeEnterprise
Full TimeSenior LevelDoctorate Or Professional DegreeEnterprise
Job Summary
Conduct applied AI research and integrate complex innovative concepts into critical Thales solutions by discovering, enabling, and validating feasibility through Proofs of Concept. Develop and mature Agentic AI applications, specifically focusing on trustable AI, by creating prototypes and demonstrators that illustrate full business potential. Rapidly assess new techniques and technologies to decide on adoption, adaptation, or discarding, while continuously presenting, challenging, and improving novel ideas. Deliver quality research content from theoretical summaries to peer-reviewed publications and patents, acting as a technical subject matter expert for multi-disciplinary teams across business units.
Required Qualifications
- MSc in engineering, computer science, applied mathematics, statistics, or a related field
- Prior experience in AI/ML
- Experience in applying paper or Github projects to new problems
- Demonstrated work experience using Large Language Models (LLM)
- Experience and understanding of data analysis and representation methods applied to sparse and dense data
- Experience in the development, test and tuning of complex LLM or Agentic workflows
- Experience with popular LLM integration frameworks like LangChain/Graph, LlamaIndex, Haystack
- Strong foundation in mathematics, statistics and probability
- Work experience using Linux OS
- Demonstrated experience in completing an applied research project, from problem to results, with minimal guidance
- Demonstrated leadership abilities in school, civil or business organisations
- Ability to work creatively and analytically in a problem-solving environment
- Communicating scientific work clearly and effectively (talks, presentations, publications, etc.)
- Fluency in French (spoken and written)
- Strong team spirit and teamwork capabilities
- Good communication skills
- Curiosity for what is new
- Willingness to challenge the status quo
- Open-mindedness
- Out-of-the-box thinking
- Ability to quickly learn and assess new techniques and technologies
- Ability to come up with new ideas, present them, challenge them and improve them continuously
- Deep, hands-on technical skills in the development and training of AI and ML
- Ability to demonstrate transverse skills that would facilitate the transfer of the work carried out to all stakeholders involved
- Contribution as a technical subject matter expert to Research and Technology projects across Thales and its business units
- Ability to discover, enable and integrate complex innovative AI concepts into Thales solutions
- Ability to validate feasibility through the implementation of Proofs of Concept (PoCs)
- Ability to guide maturity growth through prototypes and demonstrators
- Ability to summarize the theoretical background of a novel domain
- Ability to disseminate research outputs through peer-reviewed publications, patents or other means
- Ability to decide whether to adopt, adapt or discard new techniques and technologies
- Ability to present new ideas
- Ability to question new ideas
- Ability to improve ideas continuously
- Ability to deliver quality content at all steps of the research process
- Strong understanding of the scientific method
- Ability to work in a multi-disciplinary team
- Ability to contribute to mission critical solutions
- Ability to design and prove the value of novel Agentic AI applications
- Focus on trustable AI
- Location: Quebec City, Canada
- On Site/Hybrid work arrangement
- Full-time employment
Desired Qualifications
- Minimum 2 years of machine learning experience in Python
- Industry experience in developing code with other developers
- Industry experience in building and deploying machine or deep learning models
- Experience in developing clean and reusable data transformation pipelines applied to text data
- Experience in developing, tuning and testing LLM-based agents, using tools, databases (MCP Servers) and complex workflows
- Experience with various provider and size of open source and proprietary LLMs
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