Senior Digital Integration AI Engineer

Prairie Consulting Services; Illinois; Hybrid; USD 120,000 - 170,000; Full time

Job summary

Prairie Consulting Services in Chicago, IL is seeking a hands-on Senior Integration / Platform Engineer to design, build, test, and support secure integrations between AI agents, enterprise applications, APIs, workflow systems, and data platforms.

The role focuses on APIs, microservices, event-driven architecture, Python, and collaboration with Azure services. You will troubleshoot issues, produce documentation, and work with cross‑functional teams to enable GenAI and AI agent workflows.

Qualifications

• 5+ years of software, integration, platform, or cloud engineering experience.
• Production support and troubleshooting experience.
• Understanding of security, authentication, access controls, and enterprise data protection.
• Strong communication and documentation skills.

Responsibilities

• Build APIs, services, connectors, and reusable integration patterns for AI/agent workflows.
• Develop enterprise integrations using REST APIs, microservices, event‑driven architecture, and Python.
• Work with Azure, Azure Functions, API Management, AKS, Azure DevOps, and cloud-native technologies.
• Support GenAI, LLM, RAG, and AI agent workflows.
• Integrate enterprise data sources such as Snowflake, Databricks, SharePoint, Microsoft Graph, and ServiceNow.
• Troubleshoot production issues, perform root‑cause analysis, and support incident resolution.
• Create technical documentation, test plans, runbooks, and operational readiness materials.
• Collaborate with Engineering, Product, Architecture, Security, Risk, and business teams.

Skills

Integration engineering

Cloud engineering

Security basics

Documentation

Tools

Azure

API Management

AKS

Azure DevOps

Snowflake

Job description

Location: Chicago, IL | Hybrid: 3 days onsite / 2 remote

Employment: W-2 Only | Local Candidates Only

Overview

Seeking a hands‑on Senior Integration / Platform Engineer to support a Digital Coworkers program. This role will design, build, test, and support secure integrations between AI agents, enterprise applications, APIs, workflow systems, and data platforms.

Responsibilities

• Build APIs, services, connectors, and reusable integration patterns for AI/agent workflows.
• Develop enterprise integrations using REST APIs, microservices, event‑driven architecture, and Python.
• Work with Azure, Azure Functions, API Management, AKS, Azure DevOps, and cloud-native technologies.
• Support GenAI, LLM, RAG, and AI agent workflows.
• Integrate enterprise data sources such as Snowflake, Databricks, SharePoint, Microsoft Graph, and ServiceNow.
• Troubleshoot production issues, perform root‑cause analysis, and support incident resolution.
• Create technical documentation, test plans, runbooks, and operational readiness materials.
• Collaborate with Engineering, Product, Architecture, Security, Risk, and business teams.

Must Have

• 5+ years of software, integration, platform, or cloud engineering experience.
• Production support and troubleshooting experience.
• Understanding of security, authentication, access controls, and enterprise data protection.
• Strong communication and documentation skills.

Preferred

• GenAI, LLMs, RAG, AI agents, LangChain/LangGraph, or MCP.
• Snowflake, Databricks, Fabric, SharePoint, or ServiceNow.
• Financial services or regulated enterprise experience.

Ideal candidate:

A hands‑on Integration/Platform Engineer who can build enterprise integrations and APIs while understanding GenAI, RAG, and AI agent workflows.

Local Chicago candidates only. W-2 only. 3 days onsite required.