1

Expert Systems Engineer Jobs (NOW HIRING)

Expert Level Systems Engineer

Chantilly, VA · On-site +1

$135K - $216K/yr

Responsibilities We are seeking an Expert Systems Engineer to provide high-level technical leadership in support of complex geospatial intelligence systems across the National System of Geospatial ...

next page

Showing results 1-20

Expert Systems Engineer information

See salary details

$53.5K

$127.2K

$167K

How much do expert systems engineer jobs pay per year?

As of Jun 6, 2026, the average yearly pay for expert systems engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What types of projects do Expert Systems Engineers typically work on, and how do they interact with other technical teams?

Expert Systems Engineers are often responsible for designing, implementing, and optimizing complex IT systems, such as enterprise networks, cloud infrastructures, or high-availability environments. They frequently collaborate with software developers, network administrators, and cybersecurity professionals to ensure systems are robust, scalable, and secure. Daily tasks may include troubleshooting critical issues, performing system upgrades, and documenting architecture decisions. This role often involves cross-functional teamwork, requiring strong communication skills and the ability to translate technical concepts for stakeholders.

What is the difference between Expert Systems Engineer vs AI Engineer?

AspectExpert Systems EngineerAI Engineer
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; certifications in expert systems or AIBachelor's or Master's in Computer Science, AI, Data Science; certifications in AI/ML
Work EnvironmentDevelops rule-based expert systems for specialized domainsDesigns and implements machine learning models and AI solutions
Employer & Industry UsageUsed in industries like healthcare, finance, and engineering for decision supportApplied across tech, finance, healthcare, and autonomous systems

Expert Systems Engineers focus on creating rule-based systems for specific tasks, while AI Engineers develop machine learning models and broader AI solutions. Both roles require strong technical skills and often overlap in AI-related certifications, but they serve different purposes within the AI ecosystem.

What engineers make $300,000 a year?

Expert Systems Engineers with extensive experience, advanced skills in AI, machine learning, and specialized tools can earn $300,000 or more annually, especially in high-demand industries or senior roles. Achieving this salary often requires advanced certifications, leadership responsibilities, and a strong track record of successful projects.

What are Expert Systems Engineers?

Expert Systems Engineers are professionals who design, develop, and maintain expert systems—computer programs that emulate the decision-making abilities of human experts. They combine knowledge of artificial intelligence, software engineering, and domain-specific expertise to create systems capable of solving complex problems in areas such as medicine, finance, or engineering. Their responsibilities include gathering expert knowledge, coding rule-based logic, testing system performance, and updating the system as new information becomes available. Expert Systems Engineers often collaborate with subject matter experts and IT teams to ensure the system accurately reflects real-world expertise and integrates smoothly with existing technology.

What are the key skills and qualifications needed to thrive as an Expert Systems Engineer, and why are they important?

To thrive as an Expert Systems Engineer, you need in-depth knowledge of systems architecture, network infrastructure, troubleshooting, and a relevant degree in computer science or engineering. Familiarity with tools such as Linux/Windows servers, virtualization platforms, cloud services (e.g., AWS, Azure), and certifications like MCSE or CompTIA are highly valued. Strong analytical thinking, problem-solving skills, and effective communication help you excel in diagnosing complex issues and collaborating with cross-functional teams. These skills ensure reliable system performance, security, and seamless integration of technology solutions within organizations.
More about Expert Systems Engineer jobs
Systems Engineer (Expert) - #765

Systems Engineer (Expert) - #765

Allen Integrated Solutions

Springfield, VA

Other

Posted 16 days ago


Job description

Role: Systems Engineer (Expert)

Location: Springfield, VA

Clearance: Active TS/SCI Required

Overall Assignment Description:

Expert Systems Engineers assist in leading engineering teams in taking a multi-discipline approach to requirements engineering, solutions engineering, scheduling, reliability, resiliency, services development, integration, test and evaluation, maintainability and analysis to ensure timely and accurate GEOINT.

Duties include:

  • Assists the Government in providing requirements engineering, solutions engineering, scheduling, reliability, resiliency, services development, integration, test and evaluation, maintainability and analysis across the NSG, ASG and Federal Agencies.
  • Assists with the planning, analysis/traceability of user requirements, architectures traceability, procedures, and problems to automate or improve existing systems and review cloud service capabilities, workflow, and scheduling limitations.
  • Advises the Government on proposed changes to the solutions designs based on analysis of requirements and new technology.
  • Assists the Government in the capture and translation of mission and customer requirements/needs into systems/capability requirements and solutions.
  • Supports the analyses and allocation of requirements to systems architecture components and executing programs.
  • Assists the Government in performing systems integration activities.
  • Assists in leading Analysis of Alternatives (AoAs), Course of Actions (CoAs), Trade Studies, and Engineering Assessments.
  • Assists the Government in strategic technical planning, project management, performance engineering, risk management and interface design.
  • Provides expert advice to the Government in the areas of relating vision, strategy, plans, needs, requirements, and process and capability developments.
  • Leads the integration Maven across other Programs at NGA, the DIE, and the IC.
  • Demonstrated knowledge of the current DIE, NSG/ASG and NRO enterprises.
  • Oversees and coordinates the work of Senior-, Mid-, and Junior-level contractor Systems Engineers.

Skills and Experience:

Required:

  • Master's degree in Systems Engineering and 15+ or Bachelor's Degree and 18+ years of experience in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM expert level experience.
  • Demonstrated expert level working experience in government or industry in relevant work areas including: DoD/IC Acquisition Process, Requirements Process, PPBES Process or system engineering of large complex System of Systems or Service Oriented Architecture/Cloud environments.
  • Demonstrated experience with systems engineering lifecycle.
Desired:
  • Doctorate in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
  • Working knowledge of Model Based Systems Engineering, processes, tools and languages.
  • Software Development Framework certification.
  • INCOSE Expert System Engineering Professional (ESEP) certification.
  • Licensure as a professional engineer.
  • Membership or leadership participation in any of the following professional organizations:
    • ACSM
    • ASCE
    • ASPRS
    • OGC
    • SAREM
    • USGIF
  • Demonstrated work experience in the field of geospatial intelligence.
  • Demonstrated experience engineering solutions using Cloud-based technologies.
  • Demonstrated experience engineering solutions using structured and unstructured Big Data.
  • Demonstrated experience engineering solutions using Automation, Augmentation and Artificial Intelligence technologies.
  • Demonstrated experience in photogrammetry, remote sensing, image science, information sciences, geographic information systems, geomatics, or related fields.