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.
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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.
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AI Integration Engineer in tempe at Unknown Company
This position is listed as full time and onsite.