
AI Solutions Architect
On-site
Full Time
#Data Science
#Artificial Intelligence
#Machine Learning
#Python
#SQL
#Data Visualization
#Web
#LLM
#Consulting
#Dataiku
#APIs
Dataiku is the force behind The Universal AI Platform, which empowers organizations to manage their AI talent, processes, and technology. We provide a versatile environment that supports no-code, low-code, and full-code development, allowing teams to build sophisticated analytics and AI agents using the skills they already possess.
Responsibilities
- Guide users through the Dataiku platform by hosting training sessions, office hours, and providing ongoing consultative support.
- Partner with customers across various industries to co-develop production-ready data science projects.
- Offer strategic insights to account teams to ensure our customers achieve their goals.
- Serve as a subject matter expert for both our customers and our internal sales and marketing departments.
- Represent the team at public events by running technology demonstrations and giving talks.
- Create internal best practices and contribute to our public project gallery or company blog.
Must-haves
- Native proficiency in French and fluency in English.
- At least 2 years of professional experience using Python and SQL.
- At least 2 years of experience building machine learning models and utilizing tools like sklearn.
- Practical experience working with LLMs.
- Proficiency in data visualization and building web applications using Python frameworks such as Dash or Streamlit.
- A solid understanding of data systems, including cloud architectures and database structures.
- Strong communication skills with the ability to explain complex technical concepts to diverse audiences.
- A curious mindset and a genuine passion for sharing knowledge with colleagues and customers.
Nice-to-haves
- Prior experience working with Dataiku DSS.
- Background in consulting or customer-facing data science roles.
- Industry experience within the Manufacturing, Defense, or Energy sectors.
- Technical expertise in MLOps or Data Engineering.
- Experience building APIs or developing web applications with JavaScript.
- A strong interest in public speaking or teaching.






