Lead Consultant - Snowflake and Cortex AI Engineer

Overview

Lead Consultant role focused on building Snowflake-native ML platforms and Cortex AI agentic systems to power production analytics and decision-making for AstraZeneca’s US rare disease portfolio.

What you'll do

• Define end-to-end ML platform architecture on Snowflake using Snowpark and Cortex AI.
• Build model pipelines that move experiments to production within Snowflake using Cortex inference and containers.
• Engineer resilient batch and streaming data workflows, including feature stores and lineage.
• Implement production operations with reliability, performance, cost optimization, and observability.
• Design agentic AI systems with boundaries between autonomous execution and human oversight.
• Develop prompt architectures, agent skills/memories, and context injection patterns for Cortex AI.
• Set testing, validation, and release practices for models and agent-generated code.

What you'll need

• 6–10+ years in Data Engineering, MLOps, or ML Platform roles.
• At least 3+ years building advanced data science or large-scale analytics solutions on Snowflake.
• Deep expertise in Snowflake components including Snowpark (Python & Scala), Snowpark Containers, Dynamic Tables, Streams, Tasks, Model Registry, and event tables.
• Strong proficiency with Snowflake Cortex AI services such as Cortex LLM functions, Cortex Analyst, Cortex Search, Cortex Fine-Tuning, and embedding generation.
• Proficiency in Python and SQL, with familiarity in TypeScript/JavaScript or systems languages like Go or Rust.
• Experience with CI/CD (e.g., GitHub Actions or Azure DevOps) and containerization (Docker for Snowpark Containers).
• Solid understanding of security and compliance for healthcare data in Snowflake, including RBAC and dynamic masking.

Details

• Job title includes “Lead Consultant - Snowflake and Cortex AI Engineer”.