(usa) Principal, Data Scientist - Applied AI

Walmart Walmart · Retail · Sparky Building AR Bentonville, SUNNYVALE TECH CORNERS CA SUNNYVALE

Principal Data Scientist on the Applied AI team, responsible for the technical design and delivery of AI systems, including agentic workflows and LLM applications, from prototype to production. This role involves close collaboration with HR business stakeholders, building evaluation frameworks, writing production-grade code, and mentoring team members. The focus is on end-to-end AI product development with a strong emphasis on measurable business impact and responsible AI practices.

What you'd actually do

  1. Partner directly with HR business stakeholders to identify the highest-leverage workflows for AI transformation.
  2. Design, build, and ship production AI systems including agentic workflows, LLM applications, and supporting infrastructure.
  3. Build evaluation frameworks that measure model and system performance against real business outcomes.
  4. Translate ambiguous business problems into prototypes quickly, then iterate to durable production solutions.
  5. Write production-grade code and collaborate on engineering practices that take AI from prototype to scaled deployment.

Skills

Required

  • Python
  • modern AI tooling and frameworks
  • evaluation methods for AI systems
  • offline and online testing approaches
  • data engineering
  • database technologies including SQL
  • infrastructure that supports production AI
  • production-grade code

Nice to have

  • PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
  • Publications or active peer reviewer in related journals or conference
  • Using open source frameworks (f

What the JD emphasized

  • Extensive experience building and deploying AI systems in production, including LLM applications or agentic workflows.
  • Track record of moving fast from prototype to production while maintaining quality and reliability.

Other signals

  • AI systems that transform how HR work gets done
  • translate ambiguous problems into working prototypes, and carry those prototypes through to production systems used at scale
  • agentic systems, large language model applications, evaluation frameworks
  • build business-owned capabilities that drive measurable impact