Prototype and validate AI capabilities that leverage governed enterprise data products, including standardized semantic models, shared feature representations, and reusable data interfaces.
Develop and evolve reusable AI enablement patterns such as Snowpark workloads, Cortex AI functions, retrieval-augmented generation methods, and agent-based approaches aligned with enterprise data platforms.
Support data product AI readiness by partnering with data engineers and product teams to ensure data assets are structured, documented, and optimized for AI use cases.
Translate experimental AI solutions into reference implementations, reusable patterns, and adoption guidance that can be safely reused across teams.
Partner with data governance, risk, and control teams to ensure responsible AI alignment, documenting guardrails, constraints, and handoff artifacts required for scaling.
Collaborate closely with the AI Center of Excellence to integrate validated AI patterns into enterprise AI experiences, including Chat USB.

Requirements

Bachelor’s Degree in a quantitative field such as computer science, engineering, data science, mathematics, or statistics.
7-10 years of experience across AI enablement, data engineering, analytics engineering, platform enablement, or data product roles.
Demonstrated experience influencing adoption of shared platforms, tools, or standards in a large enterprise environment.
AI/ML Model development experience.
Demonstrated experience prototyping and validating AI capabilities built on enterprise data products, including standardized semantic models and shared data interfaces.
Experience developing reusable AI enablement patterns such as Snowpark workloads, Cortex AI functions, retrieval-augmented generation methods, or agent-based approaches.
Familiarity with cloud-native services and APIs used to prototype and operationalize AI-enabled data solutions.
Strong analytical, organizational, problem-solving, and project management skills.

Benefits

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI enablementdata engineeringanalytics engineeringAI/ML model developmentSnowpark workloadsCortex AI functionsretrieval-augmented generation methodsagent-based approachesdata product rolesquantitative analysis

Soft Skills

analytical skillsorganizational skillsproblem-solving skillsproject management skillsinfluencing skills