Transportation Engineering Designer at Arcadis involved in design and delivery of transportation projects. Collaborating with multi - disciplinary teams to create innovative, sustainable mobility solutions.
About the role
- Lead the AI development team for French services, ensuring technical coherence and mentoring engineers. Drive cloud integration (Microsoft Azure), MLOps, and production deployment of generative AI and agent-based solutions.
Responsibilities
- Lead the development team and ensure technical coherence across AI-related projects.
- Oversee the integration of cloud technologies, particularly Microsoft Azure, and optimize development and deployment environments.
- Work closely with product and data teams to translate business needs into effective technological solutions.
- Mentor, guide, and support developers in their practices, skill development, and performance.
- Maintain active technological watch to integrate best practices in AI, agent-based systems, MLOps, and software development.
- Oversee and guide the development team, ensuring code quality and adherence to best practices.
- Communicate effectively, with the ability to explain complex technical concepts clearly and concisely.
- Document technological changes for training and collaboration purposes.
- Participate in agile ceremonies and application deployments.
Requirements
- Excellent leadership skills, with the ability to mobilize and guide a development team.
- Strong understanding of agentic AI architectures and agent orchestration concepts.
- Expertise in machine learning and data engineering.
- Strong software development skills (Python, AI/ML frameworks, APIs, microservices).
- Ability to understand business needs and translate them into concrete technical solutions.
- Excellent communication skills, technical documentation abilities, and interdisciplinary collaboration.
- Additional assets:
- Experience with agent frameworks (e.g., AutoGen, LangChain, or equivalents).
- Knowledge of MLOps approaches and experience with AI model industrialization.
- Experience building generative applications (LLMs, copilots, intelligent assistants).
- Participation in innovation projects, R&D, or large-scale strategic AI initiatives.
- Strong interest in continuous improvement, technological experimentation, and emerging AI trends.
Benefits
- Hybrid work environment with flexible work schedules, allowing you to prioritize yourself, your family and your work.
- Competitive benefits and compensation.
- Opportunities to work with cutting-edge technology.
- Opportunities for continued learning and professional development.
- Opportunities to become a member of our Employee Resource Groups.
- Pair programming and mentorship opportunities, where you can learn from the best in the industry and help coach new talent.
- A creative and dynamic work environment, where your ideas and contributions can be heard, valued and respected.
- An environment that favours experimentation and an iterative approach in order to achieve the highest form of technical innovation.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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