As an AI Solutions Engineer, youll partner with enterprise clients to understand their challenges and architect AI-driven solutions using the platform. Youll collaborate with leading data science and ML engineering teams, working alongside experienced practitioners to ensure smooth adoption and measurable business outcomes.
Youll design and deliver proofs of concept, lead workshops, and build compelling demos showcasing the capabilities of for AI evaluation, monitoring, and reliability. Acting as the key interface between our product, research, and customer teams, youll help translate technical requirements into impactful AI solutions.
Requirements:
B.Sc. in Computer Science, Engineering, Data Science, or a related quantitative field.
3+ years of experience in AI/ML engineering, solutions engineering/architecture, or related technical roles.
Hands-on experience with modern AI/ML workflows, including large language models (LLMs), MLOps, or production-grade model deployment.
Proven track record of engaging with enterprise customers, including pre-sales activities (demos, PoCs, workshops).
Strong software engineering and/or data engineering fundamentals (e.g., APIs, cloud services, data pipelines).
Ability to work independently while managing multiple client-facing projects.
Excellent communication skills, with the ability to explain complex AI concepts to both technical and business stakeholders.
Customer-first mindset, with a focus on delivering practical, value-driven AI solutions.
B.Sc. in Computer Science, Engineering, Data Science, or a related quantitative field.
3+ years of experience in AI/ML engineering, solutions engineering/architecture, or related technical roles.
Hands-on experience with modern AI/ML workflows, including large language models (LLMs), MLOps, or production-grade model deployment.
Proven track record of engaging with enterprise customers, including pre-sales activities (demos, PoCs, workshops).
Strong software engineering and/or data engineering fundamentals (e.g., APIs, cloud services, data pipelines).
Ability to work independently while managing multiple client-facing projects.
Excellent communication skills, with the ability to explain complex AI concepts to both technical and business stakeholders.
Customer-first mindset, with a focus on delivering practical, value-driven AI solutions.
This position is open to all candidates.
