Senior Data & AI Engineer - Material Bank
Overview
Material Bank seeks a Senior Data & AI Engineer to lead AI agents shaping intelligent experiences. The role drives design product integration of Snowflake Cortex while influencing platform architecture. This position blends data engineering and applied AI to deliver scalable solutions.
What You'll Do9
- 1Design and build production grade AI agents owning full lifecycle from prototyping to deployment
- 2Lead development of MCP servers and REST APIs exposing intelligent capabilities
- 3Apply RAG tool use orchestration memory and evaluation frameworks for reliable AI systems
- 4Partner with Analytics & Insights to design semantic layers for consistent business definitions
- 5Maintain scalable data pipelines using Snowflake dbt and Airflow
- 6Collaborate across teams to translate business problems into AI solutions
- 7Establish engineering standards for agentic systems observability evaluation and governance
- 8Implement production APIs and services including MCP servers and REST architectures
- 9Specialize in Snowflake Cortex and influence its long term AI platform strategy
Requirements9
- 15+ years data engineering AI ML engineering or related field experience
- 2Strong Python skills and AWS environment proficiency
- 3Hands on experience with Snowflake Cortex vector search and agent orchestration
- 4Expertise in dbt Airflow for semantic and metrics layers
- 5Experience building LLM powered applications and production AI agents
- 6Familiarity with RAG tool call frameworks and LLM evaluation platforms
- 7Ability to partner with analytics teams to operationalize business metrics
- 8Nice to have production Snowflake Cortex experience
- 9Demonstrated ability to learn new technologies quickly
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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