Staff Applied AI Engineer
Core
Build data pipelines, predictive/prescriptive models, and token-efficient LLM-powered agents/workflows to solve business problems like churn forecasting and optimization.
Role type
Staff Applied AI Engineer (GenAI/ML)
Builds
Production ML models, GenAI agents, data pipelines, and enterprise reference architectures.
Domain
Enterprise analytics, Generative AI, Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Snowflake data engineering, SQL, data modeling, applied statistics (confidence intervals), predictive/prescriptive analytics, LLM/agentic systems (LangGraph, CrewAI), RAG (chunking, hybrid search, reranking), Python, software engineering (testing, CI/CD), architecture design.
Preferred skills
Inference optimization (quantization, vLLM, TensorRT), MLOps/LLMOps, platform building, AI strategy.
Technologies
Snowflake, LangGraph, Claude Agent SDK, CrewAI, vLLM, TensorRT, Python, AWS, Google Cloud, Azure.
Responsibilities
Build pipelines combining Snowflake and unstructured data; Produce churn and retention analytics with confidence intervals; Develop predictive and prescriptive models; Design and deploy token-efficient LLM-powered agents; Define enterprise reference architectures and governance standards; Establish monitoring and guardrails for drift, bias, and safety.
Seniority
Staff, hands-on IC with strategic scope