Experience with agentic AI frameworks and tooling, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols.
Breadth across AI and data science methods, including classical ML, causal inference, optimization, and Bayesian approaches, with comfort working across techniques as problems demand.
Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search.
Master's degree or equivalent depth demonstrated through research, applied projects, or prior work. Candidates with a Master's may be considered with fewer years of professional experience.
Applied research credentials, such as published work, significant open-source contributions, or a demonstrated record of scientific rigor in industry.