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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!