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Intelligent Systems Engineering Jobs in Raleigh, NC

Pearson

Software Engineer III

Durham, NC · On-site

$80K - $140K/yr

Bachelor's degree in computer science, Information Systems, Engineering, or a related field. * 3+ years of experience in software engineering, intelligent automation, AI-enabled solutions, or ...

Eventus WholeHealth

Software Engineer

Chapel Hill, NC · On-site

This role partners closely with the Director of Intelligent Systems Solutions to translate business ... engineering oversight Qualifications: Education, Licensure and Certifications, Related Work ...

Eventus WholeHealth

Software Engineer

Chapel Hill, NC · On-site

This role partners closely with the Director of Intelligent Systems Solutions to translate business ... Engineering, or a related technical discipline preferred. 2-5 years of hands-on software ...

FHR

M724-UiPath Developer 65886

Raleigh, NC · On-site

Title: UiPath Developer/System Programmer 4 The UiPath Developer is responsible for designing ... intelligent document processing Generative AI, LLM integration, prompt engineering, and AI ...

First Citizens Bank

Principal AI Architect

Raleigh, NC · On-site

$160K - $240K/yr

... engineering with strategic innovation to design, prototype, and deliver intelligent, data-driven ... Prototype and operationalize advanced AI solutions, including GenAI and LLM-based systems.

First Citizens Bank

Principal AI Architect

Raleigh, NC

$160K - $240K/yr

... engineering with strategic innovation to design, prototype, and deliver intelligent, data-driven ... Prototype and operationalize advanced AI solutions, including GenAI and LLM-based systems.

Cadence Design Systems, Inc.

Lead Design Engineer

Cary, NC · On-site

$104K - $137K/yr

The company applies its underlying Intelligent System Design strategy to deliver software, hardware ... Engineering with a minimum of 5 years of experience OR MS with a minimum of 3 years of experience

Relay

Finance Systems Administrator

Raleigh, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Relay is the Intelligent System of Action for the physical economy. While the digital revolution ... You'll work closely with an internal engineer resource who owns the internal tooling layer that ...

Relay

Finance Systems Administrator

Raleigh, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Relay is the Intelligent System of Action for the physical economy. While the digital revolution ... You'll work closely with an internal engineer resource who owns the internal tooling layer that ...

Relay

Finance Systems Administrator

Raleigh, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Relay is the Intelligent System of Action for the physical economy. While the digital revolution ... You'll work closely with an internal engineer resource who owns the internal tooling layer that ...

Analogdevices

FPGA Systems Development Engineer

Durham, NC · On-site

$125K - $161K/yr

... Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that ... Our diverse engineering community is a recognized leader providing forward thinking designs that ...

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Showing results 21-40

All JobsIntelligent Systems Engineering JobsIntelligent Systems Engineering Jobs in Raleigh, NC

Intelligent Systems Engineering information

See Raleigh, NC salary details

$58.8K

$138.1K

$190.5K

How much do intelligent systems engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for intelligent systems engineering in Raleigh, NC is $138,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $168,200.00 per year, depending on experience, location, and employer.

What is intelligent systems engineering?

An Intelligent Systems Engineering job involves designing, developing, and optimizing smart systems that integrate AI, machine learning, and advanced computing. Professionals in this field work on applications such as autonomous systems, robotics, cybersecurity, and biomedical devices. They use data-driven approaches and computational models to enhance decision-making and automation. These roles exist in industries like healthcare, automotive, aerospace, and IoT.

What are the main challenges faced when working as an intelligent systems engineer?

Intelligent Systems Engineers often encounter challenges such as integrating diverse hardware and software components, ensuring system reliability, and optimizing performance under real-world conditions. They must stay current with rapidly evolving technologies and continuously adapt their solutions to meet new requirements or constraints. Collaboration across multidisciplinary teams, including software developers, hardware engineers, and data scientists, is common and essential for project success. Tackling these challenges develops a well-rounded skill set and provides significant opportunities for professional growth and innovation.

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

Successful careers in Intelligent Systems Engineering require a strong background in computer science, control systems, mathematics, and often an advanced degree in engineering or a related field. Proficiency with programming languages (such as Python, C++, or MATLAB), experience with machine learning frameworks, and familiarity with embedded systems and sensor integration are typically expected. Strong analytical thinking, problem-solving skills, and effective collaboration are essential soft skills in this position. These competencies enable professionals to design, develop, and optimize complex intelligent systems that perform reliably in real-world applications.

How much do intelligent systems engineers make?

Intelligent systems engineers typically earn a median annual salary of around $100,000 to $130,000, depending on experience, education, and location. Professionals with advanced skills in machine learning, robotics, or AI tools may earn higher salaries, especially in specialized or high-demand industries.

What do intelligent systems engineers do?

Intelligent systems engineers design, develop, and implement software and hardware systems that incorporate artificial intelligence, machine learning, and automation technologies. They analyze complex problems, create algorithms, and work with tools like robotics, data analysis, and programming languages such as Python or C++. Their work often involves testing, optimization, and ensuring systems operate reliably in real-world environments.

What are popular job titles related to Intelligent Systems Engineering jobs in Raleigh, NC?

For Intelligent Systems Engineering jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Intelligent Systems Engineering jobs in Raleigh, NC look for?

The top searched job categories for Intelligent Systems Engineering jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Intelligent Systems Engineering jobs?

Cities near Raleigh, NC with the most Intelligent Systems Engineering job openings:

Intelligent Systems Engineering jobs near you
Infographic showing various Intelligent Systems Engineering job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $138,103 per year, or $66.4 per hour.

Software Engineer III

Pearson

Durham, NC • On-site

$80K - $140K/yr

Full-time

Posted 11 days ago

Job description

The Software Engineer - AgentOps Enterprise Automations is responsible for designing, developing, deploying, and supporting intelligent automation and agentic AI solutions that drive productivity, operational efficiency, and business transformation across Pearson. This role focuses on building enterprise-grade automation solutions leveraging AWS Cloud, AI Agents, Robotic Process Automation (RPA), workflow orchestration and APIs. The engineer will collaborate with business stakeholders, Solution Architects, Business Analysts to translate business requirements into scalable, governed, and observable automation solutions.
Key Responsibilities
Solution Design & Development
  • Analyze business processes and automation opportunities across Pearson business units.
  • Convert business requirements, Process Definition Documents (PDDs), and user stories into Technical Solution Design Documents (SDDs).
  • Design, develop, test, and deploy enterprise automation solutions using Agentic AI, RPA, and workflow orchestration technologies.
  • Build scalable AI-powered agents and digital workers that automate business processes and enhance employee productivity.
  • Support the operationalization of AI Agents throughout their lifecycle, including deployment, monitoring, governance, and continuous improvement.
  • Provide production support, incident resolution, and continuous optimization of deployed automations.
  • Implement infrastructure as code (Terraform, AWS CloudFormation, or AWS CDK) to automate environment provisioning and configuration.

Intelligent Automation & Integration
  • Develop solutions using UiPath, Microsoft Power Platform, Copilot Studio, Python, JavaScript, APIs, OCR, and Intelligent Document Processing technologies.
  • Build orchestration workflows that combine AI agents, RPA bots, APIs, and human-in-the-loop activities.
  • Support enterprise integrations across ERP, HR, Finance, Service Management, Learning, and other business platforms.
  • Design reusable automation components and accelerators that improve development speed and standardization.

Required Skills & Experience
Technical Skills
  • Hands-on experience with:
  • Python, JavaScript
  • SQL, REST APIs and Web Services
  • Microsoft Power Platform (Power Automate), UiPath Automation Platform
  • Experience developing workflow automation, AI-assisted automation, or enterprise integration solutions.
  • Understanding of AI, Machine Learning, Generative AI, and Agent-based architectures.
  • Experience working with enterprise databases and data integration patterns.
  • Familiarity with cloud platforms such as Azure and cloud-native services.
  • Understanding of event-driven architectures, API integrations, and automation orchestration.
  • Experience developing, monitoring, or supporting AI-enabled solutions and digital workers.
  • Exposure to AI Agent development, prompt engineering, Retrieval-Augmented Generation (RAG), or LLM-based applications is highly desirable.
  • Experience with Microsoft Copilot Studio, Azure AI Services, or equivalent AI platforms is preferred.

DevOps & Engineering Practices
  • Familiarity with Git/Bitbucket, CI/CD pipelines, JFrog Artifactory, Automated testing frameworks, DevOps and Agile delivery models

Qualifications:
  • Bachelor's degree in computer science, Information Systems, Engineering, or a related field.
  • 3+ years of experience in software engineering, intelligent automation, AI-enabled solutions, or enterprise automation platforms.
  • Proven ability to design and deliver medium-to-high complexity automation or AI solutions.
  • Demonstrated experience translating business requirements into scalable technical solutions.
  • Excellent written, verbal, and stakeholder communication skills.
  • Strong analytical, problem-solving, and continuous learning mindset.

Preferred Qualifications
  • Experience with Agentic AI frameworks and enterprise AI orchestration platforms.
  • Exposure to Agentic Operations, MLOps, or AI Operations practices.
  • UiPath Developer Certification, Microsoft Power Platform Certification, or equivalent.
  • Experience with Azure OpenAI, Copilot Studio, LangChain, Semantic Kernel, or similar AI technologies.
  • Experience building enterprise-scale productivity, operational efficiency, or business process automation solutions.

Compensation at Pearson is influenced by factors including skill set, experience, and location.
The full-time salary range for this role is $80,000 - $140,000.
This position is eligible to participate in an annual incentive program. Information on benefits can be found here.
Applications will be accepted through 20th August 2026. This window may be extended depending on business needs.
Apply today and imagine the impact you can make.
Who we are:
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.
Job: Engineering
Job Family: TECHNOLOGY
Organization: OCTO
Schedule: FULL_TIME
Workplace Type: Hybrid
Req ID: 25050

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