AI Integrations Engineer

About this role

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Integrations Engineer in the United States.
This role sits at the core of building the connective layer between advanced AI systems and real business operations. You will design and implement secure, scalable integrations that enable AI agents to interact with internal systems, enterprise data, and business workflows. Acting as a bridge between data engineering, platform engineering, and business users, you will transform experimental AI use cases into production-ready solutions. The environment is highly technical, fast-evolving, and focused on enabling agentic AI at scale. You will work closely with cross-functional teams including security, data, and product stakeholders. This position offers high impact, as your work will be reused across multiple AI applications and user groups. It is ideal for someone who thrives in solving complex integration challenges in cloud-native environments.


Accountabilities


In this role, you will be responsible for building the foundational integration layer that powers enterprise AI adoption across business functions.

• Design, build, and maintain Model Context Protocol (MCP) servers that securely expose internal systems, tools, and data to AI platforms
• Develop and document scalable APIs enabling AI agents to interact with CRM, ERP, and other enterprise systems of record
• Architect and implement backend AI infrastructure on Google Cloud, leveraging services such as Vertex AI, Cloud Run, Cloud Functions, Apigee, and Workflows
• Build and optimize data pipelines that ensure clean, structured, AI-ready datasets are available in modern data warehouses
• Partner with business users to translate AI agent prototypes into secure, production-grade integrations and workflows
• Implement authentication, authorization, observability, and logging across all AI integrations to ensure governance and transparency
• Estab...