about 3 hours ago
Base Salary
$156k - $224k/yr
Responsibilities
- Design, build, and maintain AI applications and workflow automation tools for GTM use cases.
- Independently scope and deliver medium-sized projects.
- Translate ambiguous business needs into practical technical plans.
- Partner with Sales, Marketing, Customer Support, Product, and Engineering teams to improve productivity.
- Apply modern LLM capabilities and Snowflake AI products to solve real business problems.
- Work across the data, application, and AI stack.
- Build AI systems grounded in trusted enterprise data and strong engineering practices.
- Own production quality for delivered solutions, including debugging and monitoring.
- Turn internal usage insights into actionable feedback for product teams.
- Contribute to team quality through documentation and reusable patterns.
- Act as a go-to engineer in at least one area and mentor junior teammates.
- Communicate clearly with stakeholders on project scope and outcomes.
Requirements
- Hands-on experience building and shipping applied AI or LLM-based systems.
- Demonstrated ability to independently deliver production-grade AI applications.
- 5+ years of experience in applied AI, machine learning engineering, or related roles.
- Strong Python and SQL skills, with experience in data-intensive applications.
- Experience with prompt design, evaluation, and production hardening for AI systems.
- Good judgment in turning ambiguous business problems into scoped deliverables.
- Experience collaborating with business stakeholders to translate workflow pain points.
- Strong communication skills and a bias toward shipping and iterating.
- A quality mindset around testing, reliability, and responsible data use.
- Experience operating effectively in fast-moving, ambiguous environments.