AI Solutions Integration Engineer

Job Description

Hope Global is seeking a hands-on technology professional to turn business needs into secure, supportable automation and integration solutions. The role partners with IT and business teams across manufacturing, quality, supply chain, finance, engineering, and other functions to reduce manual work, improve access to information, and deliver measurable operational value.

This position is intentionally broad: the successful candidate does not need to arrive as an expert in AI, software-development, data management, or manufacturing platform. The expectation is strong enterprise technology fundamentals, sound judgment, the ability to learn quickly, and the ability to select the right combination of Microsoft cloud, Power Platform, AI, scripting, APIs, and integration tools for each use case.

Deliver practical, governed automation and integration solutions that improve time, cost, quality, service, or risk — and can be supported after launch.

• Partner with business and IT leaders to identify and prioritize automation, integration, analytics, and AI opportunities based on business impact, feasibility, risk, and supportability.
• Work directly with users, including plant-floor teams, to understand current workflows, pain points, data sources, controls, exceptions, and desired outcomes.
• Define a practical scope, success measures, and phased delivery approach before development begins.

• Design, build, configure, test, and support business solutions using Microsoft Power Platform, Microsoft 365, Azure services, approved AI capabilities, scripts, APIs, and enterprise connectors as appropriate.
• Integrate solutions with enterprise systems and data sources such as ERP, SharePoint, manufacturing applications, databases, files, and approved third-party platforms.
• Use Power Shell, Python, low-code tools, SQL, REST APIs, or other approved technologies where they provide the simplest maintainable solution.
• Build appropriate exception handling, logging, monitoring, approvals, and human review into production workflows.

• Support data-driven solutions using Microsoft Fabric, One Lake, Power BI, SQL, relational data, and approved enterprise data models.
• Evaluate and implement appropriate AI-assisted capabilities, including Microsoft Copilot, Copilot Studio, Azure AI services, document intelligence, or approved large-language-model services when they provide clear business value.
• Use AI responsibly: validate outputs, define human checkpoints for business-critical decisions, and document known limitations.

• Design solutions using company standards for identity, role-based access, service accounts, credentials, secrets, data protection, privacy, and records retention.
• Maintain clear solution documentation, source/configuration control, testing evidence, support procedures, and change history.
• Follow established cybersecurity, change-management, release, and production-support practices.

• Lead user acceptance testing, deployment, operational handoff, troubleshooting, maintenance, and continuous improvement of delivered solutions.
• Create concise documentation and training materials and help business users adopt new workflows successfully.
• Track reliability, usage, time savings, cost reduction, quality improvement, service improvement, or other agreed measures of value.
• Communicate status, risks, decisions, dependencies, and support needs clearly to technical and nontechnical stakeholders.

• Bachelor's degree in information systems, computer science, engineering, business technology, or a related field, or equivalent practical experience.
• Progressive experience in enterprise IT, systems engineering, cloud technology, systems integration, automation, application support, data platforms, or a related technical discipline.
• Strong experience with Microsoft enterprise technologies such as Azure, Microsoft 365, identity/access management, Power Platform, or related cloud…