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Expert Systems Engineer Jobs (NOW HIRING)

... Expert level expertise in the assigned technology domain. Install, configure, monitor, troubleshoot, support, and resolve issues in assigned technology including hardware, software, operating system ...

... system. • Experience with Web server MS IIS/SSL required. • Experience with Load Balance ... Accountabilities • Possess Expert level expertise in the assigned technology domain. • Install ...

The Expert Systems Engineer will help translate mission and customer needs into technical requirements and solutions, advise on strategic technical decisions, and integrate complex systems and ...

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 ...

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 ...

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Expert Systems Engineer information

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$53.5K

$127.2K

$167K

How much do expert systems engineer jobs pay per year?

As of Sep 10, 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 is an expert systems engineer?

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 types of projects does an expert systems engineer 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 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.

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.

Is expert systems engineer a high paying job?

Expert systems engineers typically earn above-average salaries due to their specialized skills in AI, machine learning, and knowledge-based systems. Compensation varies by experience, location, and industry, but it is generally considered a high-paying role within the engineering and technology fields.
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Infographic showing various Expert Systems Engineer job openings in the United States as of September 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% In-person job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

Expert Systems Engineer 2024-NSE-718

Springfield, VA • On-site

ICES, Inc.
51 - 200 employees

Full-time

Re-posted 8 days ago


Job description

Intelligence Consulting Enterprise Solutions, INC. is looking for an Expert Systems Engineer
Description:
Join ICES on a contract impacting national security as an Expert Systems Engineer These positions are located in Springfield, VA. All positions require an active/current TS/SCI security clearance and be willing and able to pass an additional polygraph as needed.
As an Expert Systems Engineer, specific responsibilities include, but are not limited to:
Duties:
  • Work directly with AOA Senior GEOINT Officer (SGO) and other government personnel, to identify new and emerging mission requirements.
  • Lead engagement with mission and technical stakeholders to apply knowledge of GEOINT systems, CONOPS, and metadata to establish and maintain data standards.
  • Assist AOA Leadership to address cross-project dependencies and ensure all analytic modernization efforts have an integrated vision.
  • Support maintenance and evolution of the Data Maturity Model
  • Evaluate proposed new insertions to the priority list and provide summary slides for management review along with priority recommendations.
  • Coordinate with engineers in CIO-T and analysts in AO to develop plans and obtain assessments of the impacts and tradeoffs for capability insertions or priority changes.
  • Engage with mission customers and users to shape and define future data architecture needs to support Analytic Workflow Modernization capabilities.
  • Participate in customer and program strategic and tactical planning activities.
  • Participate in the development of system architectures to evolve mission services.
  • Assess new technologies for fit-for-use by mission services, employing quantifiable and traceable criteria to enable future decision making.
  • Conduct AoAs and provide data-driven recommendations.
  • Identify project key decision points and provide Go/No-Go recommendations.
  • Conduct user outreach to communicate planned architecture changes, operational concepts, and project status, and accept user inputs for optimization of delivery plans.
  • Produce weekly activity reports for use by government customers and the program.
  • Develop and present effective technical presentations to senior management and to technical/non-technical audiences; must possess strong written and verbal communications skills.
  • Explain technical issues clearly/accurately to technical/non-technical audiences; and conduct issue coordination within and across agencies.
  • Work with customers to resolve technical and programmatic issues.
  • Draft documentation as needed to explain both the as-is and to-be state for the project.

Skills and Experience:
Required:
  • Bachelor's degree or higher 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.
  • Expert-level 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 expert-level experience of systems engineering lifecycle.
  • Data engineering and architecture experience developing logical and physical data models to support intelligence mission needs
  • Experience advising both technical and mission stakeholders to advance customer objectives
  • Prior experience writing CONOPS or similar technical documentation for a non-technical audience
Desired:
  • Expert-level experience in the field of geospatial intelligence.
  • 4+ years of experience in one or more disciplines of GEOINT analytic tradecraft and analysis production system development
  • 2+ years of experience in government acquisition processes.
  • 1+ years of experience in agile Systems development.
  • Prior experience in NGA Analysis or similar analysis organization.
  • Demonstrated experience of the current NSG/ASG and NRO enterprises.
  • Demonstrated experience in photogrammetry, remote sensing, image science, information sciences, geographic information systems, geomatics, or related fields.