> Markdown version of [/jobs/ext/4290885-enterprise-ai-integration-engineer](https://www.wearedevelopers.com/jobs/ext/4290885-enterprise-ai-integration-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise AI Integration Engineer - **Company:** MaxIT Consulting - Max Corporate Group - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Application Integration Architecture, Computerized Maintenance Management Systems, Extract Transform Load (ETL), Knowledge Management, SAP (Applications), Software Engineering, Enterprise Data Management, Retrieval-Augmented Generation, Agentic-AI, Production Code, Webhooks, Servicenow - **Published:** October 22, 2026 - **Apply:** https://www.thejobnetwork.com/job/6f942d9d-bc27-4b71-a595-88a17fdfd653/enterprise-ai-integration-engineer ## About the Role * Approximately 1 to 5 years of hands-on software engineering, implementation engineering, solutions engineering, or forward-deployed engineering experience. * Demonstrated ability to personally write and ship production code. * Experience integrating software with complex customer systems. * Hands-on experience with modern AI applications, agentic systems, and/or RAG solutions. * Strong customer-facing communication skills combined with technical depth. * Willingness to travel domestically approximately 25% of the time., Candidates must be able to work in the United States. Certain sponsorship and visa-transfer scenarios may be considered for candidates already located in the United States. ## Description * Embed with enterprise customers to deploy AI-powered systems into live operational environments. * Build and maintain integrations using APIs, webhooks, ETL processes, and enterprise data systems. * Integrate with ERP, CMMS, ticketing, knowledge-management, and enterprise service platforms. * Work with systems such as SAP, ServiceNow, and related enterprise platforms where required by the customer environment. * Build agentic AI and/or retrieval-augmented generation capabilities as part of customer solutions. * Translate ambiguous operational requirements into shipped technical solutions. * Partner directly with customer engineering and operational teams.