We are looking for a client‑obsessed AI Solutions Engineer with entrepreneurial tendencies to join our Solutions Engineering organization. The role involves acting as a trusted technical advisor, driving business value, and expanding accounts.
Responsibilities
- Work closely with sophisticated ML / GenAI teams.
- Act as a trusted advisor, building relationships with technical and business stakeholders.
- Advise on GenAI and ML best practices.
- Provide ML and LLM product demos to technical and business stakeholders.
- Run strategic business reviews for customers in partnership with the sales team.
- Interface with pre‑sales engineering to gather client goals and KPIs.
- Partner with product and engineering teams to drive the product roadmap.
- Spearhead new opportunities within existing accounts to drive expansion.
Qualifications
- Previous experience as a Data Scientist, Machine Learning Engineer, or Engineer working with ML models or GenAI applications in production.
- Comfortable working in public cloud environments (AWS, Azure, GCP).
- Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit‑learn.
- Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy.
- Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real‑time scoring via REST APIs) and engineering considerations.
- Understanding of GenAI concepts and application evaluation + development lifecycle.
- Proficiency in a programming language (Python, JavaScript/TypeScript, Java, Go, etc.).
- Strong communication skills – ability to simplify complex technical concepts.
- Quick self‑learner, undaunted by technical complexity of production ML deployments and eager to learn and develop personal POV.
Bonus Points
- Previous engineering experience in:
- Data Science
- MLOps
- ML Frameworks
- LLM / Agentic frameworks
- Customer‑facing experience – Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service roles.
- Prior experience with Kubernetes deployments.
- Prior experience demoing technical products to both business and technical audiences.
Compensation & Benefits
The estimated annual salary and variable compensation for this role is between $125,000 and $175,000, plus a competitive equity package. Total compensation also includes a comprehensive benefit package: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave, and other mental and wellness support.
Remote‑first company. Offices in New York City and San Francisco Bay Area are open for employees located there. A monthly stipend to pay for co‑working spaces is provided for all other employees.
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