Senior Snowflake AI Architect - GenAI & Client Delivery

Abacus Insights; United States; Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

401k

Vacation

Ownership

Health Insurance

Fun

Job summary

Abacus Insights seeks a Senior Forward-Deployed AI Engineer to design, build, and deploy AI/GenAI systems on the Snowflake platform. You’ll work inside client environments, configuring the Snowflake semantic layer and delivering metrics and reporting.

The role progresses toward agentic AI work, with direct hands-on implementation and technical leadership in ambiguous situations. You will translate business needs into scalable AI solutions, write production-grade SQL and Python, and shape the

Qualifications

• Experience designing and building GenAI/agentic systems (RAG, MCP tooling, agent orchestration).
• Hands-on Snowflake: Cortex Analyst semantic views, Snowpark, ML workflows, metric definitions.
• Ability to deliver client-facing AI architectures and scalable pipelines in Snowflake environments.

Responsibilities

• Design and build AI/ML systems on Snowflake platforms for clients.
• Lead semantic layer configuration and metrics reporting for clients.
• Engage directly with client stakeholders to scope use cases and set expectations.
• Develop and evaluate retrieval-augmented generation (RAG) and agentic workflows.

Skills

Snowflake expertise

Databricks

Python

SQL

GenAI

RAG systems

MCP tooling

Agentic workflows

Client engagement

AI architecture

Tools

Snowpark

Cortex

Unity Catalog

Delta Lake

MLflow

Job description

Abacus Insights seeks a Senior Forward-Deployed AI Engineer to design, build, and deploy AI/GenAI systems on the Snowflake platform. You’ll work inside client environments, configuring the Snowflake semantic layer and delivering metrics and reporting.

The role progresses toward agentic AI work, with direct hands-on implementation and technical leadership in ambiguous situations. You will translate business needs into scalable AI solutions, write production-grade SQL and Python, and shape the