Senior Data & AI Engineer

What You’ll Do

• Design, build, and operate production grade AI agents, owning the full lifecycle from prototyping and evaluation through deployment, monitoring, and continuous improvement.
• Lead the development of scalable AI and data services, including MCP servers and REST APIs that expose intelligent capabilities to products, applications, and internal teams.
• Serve as our internal expert on Snowflake Cortex, going deep on Cortex Agents, Cortex Analyst, and Cortex Search while partnering directly with Snowflake’s account and product teams to influence capabilities and shape how we apply the platform.
• Apply modern agent architecture patterns including RAG, tool use, orchestration, memory, and evaluation frameworks to build reliable, accurate, and cost efficient AI systems.
• Partner closely with Analytics & Insights team to design and maintain semantic and metrics layers that create consistent business definitions across AI, analytics, and reporting use cases.
• Build and maintain scalable data pipelines, transformations, and models that power AI workloads using Snowflake, dbt, and Airflow.
• Collaborate across data, product, analytics, and engineering teams to translate ambiguous business problems into well designed AI and data solutions.
• Establish engineering standards and best practices for agentic systems, including observability, evaluation, prompt management, governance, and operational guardrails.

What You’ll bring:

• Deep experience and genuine passion for data engineering, with strong instincts around data modeling, pipeline architecture, scalability, data quality, and building reliable platforms. Strong data foundations are core to this role.
• 5+ years of experience in data engineering, AI/ML engineering, or related fields, including recent hands on experience building and shipping LLM powered applications or AI agents into production environments.
• Experience building production APIs and services, including MCP servers and REST based architecture