AI Integration Engineer

The Judge Group; Tempe (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

Digital Coworkers is seeking an experienced Integration Engineer to design and build secure integrations across AI agents, enterprise systems, APIs, and data platforms. You will create reusable connectors and frameworks to enable AI-powered workflows at scale.

You will collaborate with Product, Engineering, Security, and Architecture teams to ensure secure, compliant implementations and produce comprehensive runbooks and deployment guides for production readiness.

Qualifications

• 5+ years of experience in Software Engineering, Integration Engineering, Platform Engineering, Cloud Engineering, or similar roles.
• Enterprise-scale integration experience using REST APIs, microservices, event-driven architectures, and service integrations.
• Hands-on cloud development experience, preferably Microsoft Azure.
• Experience supporting production environments, monitoring, incident management, and operational documentation.
• Strong knowledge of security, identity and access management, data protection, logging, and compliance controls.
• Ability to translate business requirements into scalable technical solutions.
• Experience working with Agile tools such as Azure DevOps, Jira, ServiceNow, Confluence, and SharePoint.
• Strong communication, stakeholder management, and documentation skills.

Responsibilities

• Design, develop, test, and support integrations across AI agents, enterprise systems, APIs, and data platforms.
• Build reusable connectors, services, and integration frameworks for Digital Coworker use cases.
• Enable RAG solutions by connecting structured and unstructured data sources.
• Configure tool access, permissions, orchestration workflows, and agent actions.
• Partner with Product, Engineering, Security, Risk, Architecture, and Application teams to ensure secure and compliant implementations.
• Create technical documentation, runbooks, test artifacts, deployment guides, and operational support materials.
• Troubleshoot production issues, perform root cause analysis, and drive long-term remediation.
• Support Agile delivery activities including backlog refinement, sprint planning, release readiness, and dependency management.

Skills

REST APIs

Microservices

Azure

Security & IAM

Agile tools

Documentation

Tools

Azure DevOps

Jira

Confluence

SharePoint

ServiceNow

LangChain

Job description

Design, build, and support secure integrations between Digital Coworkers, enterprise applications, APIs, workflows, knowledge repositories, and approved data sources. Focus on enabling AI-powered workflows through scalable integration patterns, RAG architectures, and production-ready solutions.

Key Responsibilities

• Design, develop, test, and support integrations across AI agents, enterprise systems, APIs, and data platforms.
• Build reusable connectors, services, and integration frameworks for Digital Coworker use cases.
• Enable RAG solutions by connecting structured and unstructured data sources.
• Configure tool access, permissions, orchestration workflows, and agent actions.
• Partner with Product, Engineering, Security, Risk, Architecture, and Application teams to ensure secure and compliant implementations.
• Create technical documentation, runbooks, test artifacts, deployment guides, and operational support materials.
• Troubleshoot production issues, perform root cause analysis, and drive long-term remediation.
• Support Agile delivery activities including backlog refinement, sprint planning, release readiness, and dependency management.

Required Qualifications

• 5+ years of experience in Software Engineering, Integration Engineering, Platform Engineering, Cloud Engineering, or similar roles.
• Enterprise-scale integration experience using REST APIs, microservices, event-driven architectures, and service integrations.
• Hands-on cloud development experience, preferably Microsoft Azure.
• Experience supporting production environments, monitoring, incident management, and operational documentation.
• Strong knowledge of security, identity and access management, data protection, logging, and compliance controls.
• Ability to translate business requirements into scalable technical solutions.
• Experience working with Agile tools such as Azure DevOps, Jira, ServiceNow, Confluence, and SharePoint.
• Strong communication, stakeholder management, and documentation skills.

Preferred Qualifications

• Experience in financial services or other highly regulated environments.
• Knowledge of Generative AI, LLMs, AI agents, RAG, prompt engineering, Responsible AI, and AI observability.
• Experience with Azure OpenAI, Azure API Management, Azure Functions, AKS, Microsoft Graph, Copilot Studio, LangChain, LangGraph, and MCP.
• Experience integrating SharePoint, Snowflake, Databricks, Fabric, ServiceNow, and enterprise document repositories.
• Experience creating reusable integration patterns, test plans, release documentation, and support models.

Core Technical Skills

• Integration Engineering: REST APIs, microservices, event-driven architecture, authentication, error handling, integration testing.
• Enterprise Delivery: Governance, security reviews, risk management, operational readiness, production support.