AI Integrations Engineer

AI Integrations Engineer

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

• 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
• Establish reusable integration patterns, connectors, and documentation to accelerate future development efforts
• Collaborate with security and compliance teams to ensure safe, governed access to sensitive enterprise data

Requirements

• 5+ years of experience in software engineering, data engineering, or integration-focused roles
• Strong expertise in data engineering concepts including SQL, ETL/ELT pipelines, and dimensional modeling
• Experience with modern cloud data platforms such as BigQuery, Snowflake, Databricks, or Redshift
• Hands-on experience integrating at least one major CRM and one ERP system, including API-level work and data modeling
• Strong proficiency in Google Cloud Platform services such as Cloud Run, Cloud Functions, Apigee/API Gateway, IAM, and data tools like BigQuery or Dataflow
• Strong programming skills in Python and/or TypeScript
• Experience designing and deploying REST APIs consumed by internal or external systems
• Solid understanding of authentication and authorization standards such as OAuth 2.0, OIDC, and service account models
• Experience working in cross-functional environments and translating business needs into technical solutions
• Strong communication skills with the ability to support both technical and non-technical stakeholders

Benefits

• Competitive compensation package with potential bonus and equity opportunities
• Comprehensive health coverage including medical, dental, and vision insurance
• Flexible paid time off and paid holidays
• Remote-first work environment with collaboration across distributed teams
• 401(k) retirement plan with employer matching
• Paid parental leave and family support programs
• Learning and development support for continuous skill growth
• Wellness and mental health resources
• Opportunity to work on cutting-edge AI and cybersecurity-adjacent technologies