AI Integrations Engineer

About the role

Nozomi Networks is seeking an AI Integrations Engineer to build and maintain the connective tissue between our AI tool stack and our business users. This role involves building and maintaining MCP servers, developing and documenting APIs, designing and implementing backend AI architecture, building and optimizing data pipelines, and partnering with business users to build and optimize AI agents.

Responsibilities

• Build and maintain Model Context Protocol (MCP) servers that expose internal systems, data, and tools to our AI platforms in a secure, governed way
• Develop and document APIs that AI agents can call to read from and write to our CRM, ERP, and other systems of record
• Design and implement the backend AI architecture on Google Cloud, including Vertex AI, Vertex AI Agent Builder, Apigee, Cloud Run, Cloud Functions, Workflows, and related services
• Build and optimize data pipelines that feed our data warehouse with the clean, structured, AI-ready data that agents depend on
• Partner with business users building agents — help them scope what's possible, unblock them when integrations are needed, and turn their prototypes into production-grade workflows
• Implement authentication, authorization, logging, and observability across all integrations so we have a clear picture of how AI is being used and what it's accessing
• Establish patterns, reusable connectors, and internal documentation so each new integration is faster than the last
• Collaborate with security and compliance teams to ensure AI access to sensitive data follows the right controls

Requirements

• 5+ years of professional software or data engineering experience
• Strong data engineering skills: SQL, dimensional modeling, ETL/ELT pipelines, and hands-on experience with a modern cloud data warehouse (e.g. BigQuery, Snowflake, Databricks, or Redshift)
• Hands-on integration experience with at least one major CRM and at least one major ERP— including their APIs, data models, and quirks
• Proficiency with Google Cloud services for application and data workloads — Cloud Run or Cloud Functions, Apigee or API Gateway, Secret Manager, Cloud IAM, and one of BigQuery, Dataflow, or Cloud Data Fusion
• Strong programming skills in Python and/or TypeScript
• Experience designing and shipping REST APIs that other teams or systems consume
• Solid understanding of authentication and authorization patterns (OAuth 2.0, OIDC, service accounts, Workload Identity Federation)

Qualifications

• Direct experience building MCP servers or other AI tool/function-calling integrations
• Experience with vector databases, embeddings, and retrieval-augmented generation (RAG) patterns — including Vertex AI Vector Search or AlloyDB / BigQuery vector capabilities
• Background supporting business or "citizen developer" users — comfort translating non-technical asks into technical design
• Knowledge of data governance, PII handling, and AI safety/compliance frameworks

Skills

• Python
• TypeScript
• Google Cloud services
• Authentication and authorization patterns
• Data engineering
• Integration development
• API design and implementation

Benefits

• Base pay range: $139,600 to $175,883
• Competitive benefits package including medical, dental, vision, life insurance, and disability insurance
• Flexible paid time off, paid holidays, and paid parental leave
• Equity program and/or variable bonus program (eligible)
• 401(k) plan (eligible)

Pay

The base pay scale for this position is $139,600 to $175,883. This is the range the company reasonably and in good faith expects to pay for the position taking into account factors including job-related knowledge, skillset, experience, education and training, certifications, and other relevant business factors.

Schedule

Remote work is available.