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Human Systems Integration Jobs in Rhode Island (NOW HIRING)

AI Solutions & Integration Engineer

Cumberland, RI · On-site

$92K - $124K/yr

... and human review into production workflows. 3. Data, Analytics & AI Enablement · Support data ... Required Qualifications · Bachelor's degree in information systems, computer science, engineering ...

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... and human review into production workflows. 3. Data, Analytics & AI Enablement · Support data ... Required Qualifications · Bachelor's degree in information systems, computer science, engineering ...

HR Manager

Woonsocket, RI · On-site

$100 - $125/hr

Strong systems and data orientation (HRIS, reporting, payroll platforms). Strongly Preferred * Exposure to M&A / acquisition integration, or experience in a high‑growth, multi‑entity, or ...

HR Business Partner

Providence, RI · On-site

$74K - $123K/yr

... system. Incumbents are responsible for providing expertise, support and advice on key business ... Proactively assesses and anticipates HR related needs and seeks to develop integrated solutions.

HR Business Partner

Providence, RI · On-site

$74K - $123K/yr

... system. Incumbents are responsible for providing expertise, support and advice on key business ... Proactively assesses and anticipates HR related needs and seeks to develop integrated solutions.

HR Business Partner

Providence, RI · On-site

$74K - $123K/yr

... system. Incumbents are responsible for providing expertise, support, and advice on key business ... Proactively assesses and anticipates HR related needs and seeks to develop integrated solutions.

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Showing results 1-20

Human Systems Integration information

See Rhode Island salary details

$32.3K

$89.7K

$140.5K

How much do human systems integration jobs pay per year?

As of Sep 7, 2026, the average yearly pay for human systems integration in Rhode Island is $89,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $118,500.00 per year, depending on experience, location, and employer.

What is a human systems integration?

A Human Systems Integration (HSI) job focuses on optimizing the interaction between humans and complex systems to enhance performance, safety, and efficiency. Professionals in this field apply principles from human factors, ergonomics, training, and system design to ensure that technology and processes align with human capabilities and limitations. HSI roles are common in industries like defense, aerospace, healthcare, and transportation, where system usability and human performance are critical.

What are the typical daily responsibilities of a human systems integration professional?

A Human Systems Integration professional typically analyzes how people interact with complex systems, designs solutions to optimize usability, and collaborates with engineers, designers, and project managers to ensure human factors are fully addressed during development. Daily tasks may include conducting user research, performing workflow analyses, developing requirements, and testing prototypes for user experience. You’ll also provide input on system designs, participate in reviews, and help ensure compliance with industry or military standards. The role often involves both independent analysis and team-based problem solving, offering variety and engagement throughout the project lifecycle.

What are the key skills and qualifications needed to thrive in human systems integration, and why are they important?

To thrive in Human Systems Integration, you need a strong background in systems engineering, human factors, ergonomics, and often a relevant STEM degree. Familiarity with modeling and simulation tools, human-computer interaction software, and industry certifications like CPE (Certified Professional Ergonomist) or INCOSE certification are highly beneficial. Strong communication, critical thinking, and collaboration skills set you apart when interfacing with multidisciplinary teams. These skills ensure that integrated systems are optimized for human use and performance, enhancing both safety and efficiency.

What are the most commonly searched types of Human Systems Integration jobs in Rhode Island?

The most popular types of Human Systems Integration jobs in Rhode Island are:

What are popular job titles related to Human Systems Integration jobs in Rhode Island?

For Human Systems Integration jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Human Systems Integration jobs in Rhode Island look for?

The top searched job categories for Human Systems Integration jobs in Rhode Island are:

Infographic showing various Human Systems Integration job openings in Rhode Island as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $89,721 per year, or $43.1 per hour.

AI Solutions & Integration Engineer

Hope Global

Cumberland, RI • On-site

$92K - $124K/yr

Other

Posted 6 days ago


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.

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


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.