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Artificial Intelligence Systems Engineer Jobs (NOW HIRING)

International Executive Service Corps

$150 - $200/hr

FTS has an opportunity for an Artificial Intelligence/Machine Learning Systems Engineer in Chantilly, VA. TheArtificial Intelligence/Machine Learning Systems Engineer willsupport a USG Program Office ...

LufCo

Intelligence Systems Engineer

Aberdeen, MD · On-site

$125K - $180K/yr

Intelligence Systems Engineer Location: Aberdeen, MD; Onsite/Hybrid Reports To: Program Manager / Designee Job Type: Full-time Clearance Requirement: Active Secret clearance with eligibility for ...

LufCo

Intelligence Systems Engineer

Aberdeen, MD · On-site

$125K - $180K/yr

Intelligence Systems Engineer Location: Aberdeen, MD; Onsite/Hybrid Reports To: Program Manager / Designee Job Type: Full-time Clearance Requirement: Active Secret clearance with eligibility for ...

LufCo

Intelligence Systems Engineer

Aberdeen, MD · Hybrid

$125K - $180K/yr

Intelligence Systems Engineer Location: Aberdeen, MD; Onsite/Hybrid Reports To: Program Manager / Designee Job Type: Full-time Clearance Requirement: Active Secret clearance with eligibility for ...

Booz Allen Hamilton

Mid Systems Engineer

Warner Robins, GA · On-site

$61K - $141K/yr

R0245608 Systems Engineer, Mid The Opportunity: Are you looking for an opportunity to combine your ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

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Artificial Intelligence Systems Engineer information

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$53.5K

$127.2K

$167K

How much do artificial intelligence systems engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for artificial intelligence 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 does an artificial intelligence systems engineer do?

An Artificial Intelligence Systems Engineer designs, develops, and integrates AI systems into software and hardware environments. Their responsibilities include building machine learning models, deploying AI algorithms, optimizing system performance, and ensuring the scalability and reliability of AI solutions. They often collaborate with data scientists, software engineers, and product teams to bring AI-powered features to various applications. Additionally, they may work on setting up data pipelines, monitoring system health, and maintaining the security and ethical standards of AI systems.

What are the key skills and qualifications needed to thrive as an artificial intelligence systems engineer?

To thrive as an Artificial Intelligence Systems Engineer, you need a strong background in computer science, machine learning, and mathematics, typically supported by a relevant degree and experience in AI model development. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and cloud platforms like AWS or Azure is essential, along with knowledge of data engineering tools. Strong problem-solving abilities, collaboration, and effective communication skills set standout professionals apart in this role. These skills enable the development, deployment, and optimization of AI solutions that drive business value and innovation.

What are some common challenges faced by artificial intelligence systems engineers when deploying AI models into production environments?

Artificial Intelligence Systems Engineers often encounter challenges related to integrating AI models into existing systems, ensuring scalability, and maintaining robust performance in production. Issues such as data pipeline inconsistencies, model drift, and the need to monitor for bias or unexpected outputs require continuous attention. Collaborating closely with data scientists, software engineers, and IT professionals is crucial to address these challenges and to ensure the AI solutions are reliable and aligned with business needs. Staying updated with best practices in MLOps can also help streamline deployment processes and minimize operational issues.

What is the difference between Artificial Intelligence Systems Engineer vs Data Scientist?

AspectArtificial Intelligence Systems EngineerData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in AI/MLBachelor's or master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI systems, algorithms, and integrations; collaborates with engineering teamsAnalyzes data, builds models, and provides insights; works closely with business units
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles require expertise in machine learning and programming, Artificial Intelligence Systems Engineers focus on designing and implementing AI systems and infrastructure, whereas Data Scientists primarily analyze data and develop models to extract insights. The roles often overlap but differ in their core responsibilities and work environments.

What cities are hiring for Artificial Intelligence Systems Engineer jobs?

Cities with the most Artificial Intelligence Systems Engineer job openings:

What states have the most Artificial Intelligence Systems Engineer jobs?

States with the most job openings for Artificial Intelligence Systems Engineer jobs include:

What are popular job titles related to Artificial Intelligence Systems Engineer jobs?

For Artificial Intelligence Systems Engineer jobs, the most frequently searched job titles are:

Infographic showing various Artificial Intelligence Systems Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

Artificial Intelligence/Machine Learning Systems Engineer

Chantilly, VA • On-site

FTS International LLC
See more jobs at FTS International LLCexternal

$149K - $170K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 19 days ago

Key responsibilities

  • Support the development of program acquisition packages including statements of work, RFI, RFP, and executive briefing materials.

  • Provide acquisition advisory services during technical and cost evaluations of RFIs and proposals.

  • Support systems engineering activities such as risk management, schedule management, and technical performance management throughout the project life cycle.

Job description

FTS International, LLC (FTS) is committed to providing the Federal Government with quality consultants and support. To ensure mission success we focus on putting our customers first while minimizing corporate bureaucracy on our staff. We provide Subject Matter Experts (SME) free of Organizational Conflicts of Interest (OCI) focused on independent analysis and mission support services within the disciplines of Engineering, Counter Terrorism Operations, Management, Information Technology, Signals Analysis, Administration, Cyber Security and Linguistics.
FTS has an opportunity for an Artificial Intelligence/Machine Learning Systems Engineer in Chantilly, VA.
The Artificial Intelligence/Machine Learning Systems Engineer will support a USG Program Office leading the Research & Development (R&D) of evolutionary, revolutionary, and transformational artificial intelligence and machine learning algorithms.
Responsibilities
  • Work with government technical and contracts staff developing program acquisition packages including but not limited to statement of work, Justification & Approval, development of Request for Contract Action Package (RCAP) artifacts, Request For Information (RFI), Request For Proposal (RFP), and executive briefing materials
  • Provide acquisition advisory services during technical and cost evaluations of RFIs and/or proposals in support of source selection
  • Evaluation of advanced AI/ML concepts, systems, technologies, designs, architectures, interfaces into space and ground systems
  • Support Agile SAFe program development processes and activities such as Program Increment (PI) Planning, development of epics, features, and demo coordination
  • Assist USG Program Office with analysis of alternatives to optimize technical, cost, and schedule performance considerations and improve knowledge and understanding of system, technology, and architecture tradeoffs
  • Technical and programmatic support through the entire project life cycle including concept development, system definition, acquisition planning, source selection, system design, development, integration and test, system delivery, and deployment
  • Support systems engineering activities such as risk management, schedule management, and technical performance management
  • Briefings and reports including technical and programmatic assessments presenting analysis, results, conclusions, and recommendations
  • Assessment of white papers and vendor marketing materials

Required Skills/Qualifications
  • TS/SCI with polygraph
  • BS STEM (Science, Technology, Engineering, or Math) in engineering discipline
  • 9+ years' relevant experience
  • Demonstrated acquisition support experience of 5 or more years
  • AI/ML experience
  • Proficient skills using Microsoft Office applications (i.e., Word, Excel, PowerPoint, SharePoint)
  • Proficient skills using Jira and Confluence tools
  • Critical thinking, problem-solving, and analytical skills
  • Interpersonal and communication skills for written reports, group discussion, and oral presentations

Desired Skills/Qualifications
  • MS STEM (Science, Technology, Engineering, or Math) in engineering discipline
  • Knowledge, skills, abilities, and/or experience in one of more of the following:
    • Systems engineering and integration applied to spacecraft, ground, and launch systems
    • R&D of artificial intelligence/machine learning agents
    • System acquisition, design, development, integration, test, and/or flight operations
    • Artificial Intelligence and/or Machine Learning technologies applied to space systems
    • IC mission, organizations, disciplines, systems, and/or processes
  • Experience working as a SETA
  • General understanding of satellite architecture (payloads and bus sub-systems)
  • General understanding of satellite operations (planning & scheduling, mission management, and command and control

Expected Salary Range: $149,000 - $170,000 per year. Placement within the range is determined by qualifications, job-related criteria, experience, internal equity and market considerations. In addition, FTS International, LLC has benefits offerings in addition to salary to include Health Insurance, Paid Time Off, Life Insurance, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.
FTS International, LLC is an Equal Opportunity Employer - vets/disabled.

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