Forward-Deployed AI Engineer: GenAI & Snowflake Expert

Abacus Insights

United States

On-site

USD 150,000 - 210,000

Full time

2 days ago
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Job summary

Abacus Insights is seeking an experienced Forward-Deployed AI Engineer to architect and deliver AI/GenAI systems on the Snowflake platform. The role blends hands-on engineering with direct client engagements, focusing on configuring the Snowflake semantic layer and delivering client-ready metrics and reporting.

The candidate will expand into agentic AI work, drive architectural decisions, and partner with clients to scope AI/ML use cases, translate business needs into technical solutions, and

Qualifications

  • 8+ years of software/AI engineering experience, with hands-on design of AI/ML systems.
  • Deep, hands-on Snowflake expertise (Snowpark, Cortex, Snowflake ML).
  • Experience delivering metrics and reporting off a semantic layer for clients.
  • Proven track record working directly with external clients in forward-deployed or professional services roles.
  • Strong Python engineering, API design, and production pipelines.
  • Excellent communication skills and ability to navigate ambiguity in client environments.

Responsibilities

  • Design, configure, and maintain the Snowflake semantic layer and metrics definitions for clients.
  • Develop and deliver metrics reporting and ensure outputs align with business logic.
  • Lead GenAI/agentic system design, RAG tooling, and evaluation harnesses across deployments.
  • Engage directly with clients as the senior technical voice, translating requirements into technical solutions.

Skills

Python
Client-facing
AI/ML system design
Snowflake expertise
GenAI/agentic systems
RAG systems
API design

Tools

Snowflake
Snowpark
Cortex
Snowflake ML
Databricks

Job description

Abacus Insights is seeking an experienced Forward-Deployed AI Engineer to architect and deliver AI/GenAI systems on the Snowflake platform. The role blends hands-on engineering with direct client engagements, focusing on configuring the Snowflake semantic layer and delivering client-ready metrics and reporting.

The candidate will expand into agentic AI work, drive architectural decisions, and partner with clients to scope AI/ML use cases, translate business needs into technical solutions, and

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