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Overview of the role :
The Solutions Engineer will play a key role in driving enterprise adoption of an advanced data and AI platform. This position involves architecting and implementing end-to-end solutions, engaging in technical discussions with clients, and ensuring seamless integration of AI technologies to accelerate customer success.
Key responsibilities :
- Collaborating with customers, partners, and prospects to design tailored data and AI solutions.
- Architecting machine learning pipelines from data ingestion through deployment and monitoring.
- Leading technical conversations around MLOps, data science workflows, and Generative AI adoption.
- Owning the technical sales process, from pre-sales to post-sales support.
- Delivering technical demonstrations, proof-of-concepts, and whiteboarding sessions.
- Evangelizing the platform’s AI vision to both technical and business stakeholders.
- Working closely with Account Executives to drive strategic growth and customer success.
- Coordinating with Product, R&D, Marketing, and Customer Success teams.
Requirements :
Experience : At least 5 years in a customer-facing technical role.Education : Bachelor’s degree or higher in Computer Science, Engineering, or related discipline.AI / ML Expertise : Proven hands-on experience as an AI / ML practitioner with knowledge of MLOps pipelines.Generative AI : Practical experience with Generative AI models and frameworks.Communication : Ability to clearly articulate complex AI concepts to technical and non-technical audiences.Language Proficiency : Advanced level of English.Additional skills preferred :
Frameworks & Tools : Familiarity with MLflow, Kubeflow, Airflow, and common ML libraries.Programming : Strong Python skills and experience with Jupyter Notebooks.Cloud & Infrastructure : Knowledge of cloud-based AI platforms, pipeline orchestration, and DevOps practices.Generative AI : Exposure to Generative AI toolkits and development of enterprise-grade applications.Certifications : Relevant cloud or enterprise platform certifications.Systems Knowledge : Solid understanding of Unix / Linux environments.What to expect from us :
Compensation : Excellent salary in USD or your preferred local currency.Work-Life Balance : Paid parental leave, vacation, and national holidays.Environment : Innovative and multicultural workplace.Collaboration : Work alongside the global Top 1% of talent.Growth : Mentorship, promotions, and continuous skill development.If you are interested in being part of a team composed of the best professionals and working 100% goal-oriented in an innovative environment, do not hesitate to apply!