AI Solutions & Integration Engineer

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.

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

Core Responsibilities

1. Business Process Discovery & Prioritization

· 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.

2. Solution Design, Automation & Integration

· 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 PowerShell, 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.

3. Data, Analytics & AI Enablement

· Support data-driven solutions using Microsoft Fabric, OneLake, 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.

4. Security, Governance & Supportability

· 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.

5. Deployment, Adoption & Business Value

· 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.

Required Qualifications

· 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 services.

· Hands-on experience automating or integrating business processes using scripting, low-code tools, SQL, APIs, connectors, or comparable technologies.

· Working knowledge of data integration concepts, relational data, authentication/authorization, error handling, monitoring, and secure production support.

· Ability to learn unfamiliar platforms quickly and move from business problem to working technical solution with appropriate documentation and controls.

· Strong communication, analytical, and problem-solving skills, including the ability to work directly with business users and explain technical solutions clearly.

· Comfort working in manufacturing environments and managing multiple priorities with limited supervision.

Preferred Qualifications

· Experience with Microsoft Fabric, OneLake, Power BI, Power Apps, Power Automate, Copilot Studio, Azure AI services, or Azure Document Intelligence.

· Experience integrating ERP or manufacturing systems, particularly Oracle, Epicor, MES, QMS, CMMS, CRM, EDI, or similar platforms.

· Experience in automotive supply, discrete manufacturing, or another regulated/audited environment.

· Practical experience with Python, JavaScript, PowerShell, version control, or cloud-based development/integration services.

· Exposure to AI-assisted workflows, large-language-model APIs, agentic workflows, intelligent document processing, or related technologies.

· Familiarity with manufacturing quality/compliance processes or standards is helpful but not required.