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Agentic AI Engineer Snowflake

Openmind TechnologiesUnited States🇺🇸United StatesPosted Oct 20, 2026

Why this role stands out

You'll spearhead the development of cutting-edge AI agents and enterprise integrations, leveraging your expertise in Snowflake and AI protocols to build robust data infrastructure. This fully remote, contract-to-hire role offers significant growth potential for engineers passionate about hands-on AI development and data engineering. Apply now to shape the future of AI-driven solutions!

Quick overview

SeniorityMid Senior
Work modeRemote
LocationUnited States
Posted3 days ago
ETLSnowflakeAssemblydbtSlack

Job description

We are seeking a hands-on  AI Engineer (Agentic AI) with strong experience in DMCP and MCP protocols, Snowflake, and Claude to build endtoend AI agents and enterprise integrations. This role centers around designing semantic models for Slack, ingesting Salesforce customer chat data, and building agent workflows that rely on Snowflake as the core data and feature platform.

The engineer will also be responsible for building the required infrastructure, setting up RBAC, and developing secure, production-grade integrations that use Snowflake output data to power Claude-based agents.

Title: AI Engineer (Agentic AI)

Role Type: 3-6 months Contract-to-Hire

Location: 100% Remote

Focus: End-to-end Agent Development + Integrations + Snowflake centric AI Infrastructure

Key Responsibilities

AI Agent Development (End-to-end)

  • Build production-grade AI agents using Claude, Snowflake data outputs, and MCP/DMCP protocol integrations.
  • Design agent workflows that consume Slack semantic models and Salesforce chat outputs.
  • Implement retrieval, context assembly, and agent orchestration pipelines.

Protocol-Based Integrations (MCP / DMCP)

  • Build and maintain MCP protocol integrations between Slack and Claude.
  • Implement DMCP-based Snowflake Claude integrations for agent data access.
  • Ensure secure, reliable, and scalable protocol communication across systems.

Snowflake-Centric Data Engineering

  • Ingest and model Salesforce customer chat data into Snowflake.
  • Build semantic layers, feature tables, and agent-ready datasets.
  • Develop ELT/ETL pipelines using Snowflake Streams, Tasks, Snowpipe, or dbt.

Slack Semantic Modeling

  • Build semantic models for Slack conversations, channels, and message metadata.
  • Structure Slack data for agent reasoning, retrieval, and workflow triggers.

Infrastructure & RBAC

  • Stand up development and production environments for agent workloads.
  • Implement RBAC, secrets management, and secure service-to-service communication.
  • Build monitoring, logging, and observability for all integration services

We are an Equal Opportunity Employer

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