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Ai Systems Engineer Jobs (NOW HIRING)

SAIC

Senior AI Systems Engineer

Chantilly, VA · On-site

$160K - $200K/yr

Description SAIC is seeking a Senior AI Systems Engineer to provide Systems Engineering and Technical Advisory (SETA) support to a mission critical program in Chantilly, VA. In this role, you will ...

micro1 AI

AI Systems Engineer - Defense

Bethesda, MD · On-site +1

$40 - $60/hr

Forward Deployed Engineer, U.S. Government Job Type: Full-time Location: Hybrid - Washington, D.C. The Role We're hiring an MTS to work on applied AI systems across research and production. This role ...

micro1 AI

AI Systems Engineer - Defense

Germantown, MD · On-site +1

$40 - $60/hr

Forward Deployed Engineer, U.S. Government Job Type: Full-time Location: Hybrid - Washington, D.C. The Role We're hiring an MTS to work on applied AI systems across research and production. This role ...

micro1 AI

AI Systems Engineer - Defense

Reston, VA · On-site +1

$40 - $60/hr

Forward Deployed Engineer, U.S. Government Job Type: Full-time Location: Hybrid - Washington, D.C. The Role We're hiring an MTS to work on applied AI systems across research and production. This role ...

micro1 AI

AI Systems Engineer - Defense

Arlington, VA · On-site +1

$40 - $60/hr

Forward Deployed Engineer, U.S. Government Job Type: Full-time Location: Hybrid - Washington, D.C. The Role We're hiring an MTS to work on applied AI systems across research and production. This role ...

micro1 AI

AI Systems Engineer - Defense

Silver Spring, MD · On-site +1

$40 - $60/hr

Forward Deployed Engineer, U.S. Government Job Type: Full-time Location: Hybrid - Washington, D.C. The Role We're hiring an MTS to work on applied AI systems across research and production. This role ...

micro1 AI

AI Systems Engineer - Defense

Ashburn, VA · On-site +1

$40 - $60/hr

Forward Deployed Engineer, U.S. Government Job Type: Full-time Location: Hybrid - Washington, D.C. The Role We're hiring an MTS to work on applied AI systems across research and production. This role ...

micro1 AI

AI Systems Engineer - Defense

Mclean, VA · On-site +1

$40 - $60/hr

Forward Deployed Engineer, U.S. Government Job Type: Full-time Location: Hybrid - Washington, D.C. The Role We're hiring an MTS to work on applied AI systems across research and production. This role ...

Meta

Production Systems Engineer, AI Systems

Austin, TX · On-site

$144K/yr

Production Systems Engineer, AI Systems Responsibilities: * Lead end-to-end system validation strategies for AI and HPC hardware platforms, including AI accelerators, GPU clusters, and high-bandwidth ...

Advanced Micro Devices

$150 - $200/hr

We are seeking an AI Systems Engineer to join our AMD ITcomputeplatforms engineering team. The AI Systems Engineeris responsible forthe design, development, and administration of High-Performance ...

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Ai Systems Engineer information

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$53.5K

$127.2K

$167K

How much do ai systems engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for ai 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 the difference between Ai Systems Engineer vs Data Scientist?

AspectAi 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 EnvironmentDeveloping AI systems, integrating AI solutions, working with software and hardwareAnalyzing data, building models, interpreting data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles involve AI and machine learning, Ai 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.

How much does an AI systems engineer make?

An AI systems engineer's salary varies based on experience, location, and industry, but typically ranges from $90,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and cloud platforms can earn higher compensation, often exceeding $180,000 per year.

What does an AI systems engineer do?

An AI systems engineer designs, develops, and maintains artificial intelligence systems and infrastructure. They work with machine learning models, data pipelines, and software tools to implement AI solutions, often requiring knowledge of programming languages, cloud platforms, and AI frameworks. Their role involves integrating AI components into larger systems and ensuring performance and scalability.

What cities are hiring for Ai Systems Engineer jobs?

Cities with the most Ai Systems Engineer job openings:

What states have the most Ai Systems Engineer jobs?

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

What are popular job titles related to Ai Systems Engineer jobs?

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

Infographic showing various Ai Systems Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

Senior AI Systems Engineer

Chantilly, VA • On-site

SAIC
IT Services • 10K+ employees
Learn more about SAICexternal

$160K - $200K/yr

Full-time

Re-posted 11 days ago

SAIC rating

7.6

Company rating: 7.6 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

103rd of 226 rated it services

Job description

Job Description
Description
SAIC is seeking a Senior AI Systems Engineer to provide Systems Engineering and Technical Advisory (SETA) support to a mission critical program in Chantilly, VA. In this role, you will directly support the National Reconnaissance Office's (NRO) Ground Enterprise Directorate (GED)-the organization responsible for architecting, acquiring, and sustaining the nation's most advanced space and ground systems across their full lifecycle.
Active Top Secret Clearance with Polygraph is required for this role.
As an Senior AI Systems Engineer, you will play a pivotal role in shaping the customer's AI/ML strategy within a key ground segment. You will help drive innovation, guide technical direction, and ensure the delivery of cutting edge, mission aligned AI/ML capabilities. This position is ideal for engineers who thrive at the intersection of advanced analytics, system engineering, and strategic advisory work.
Key Responsibilities to include:
  • Collaborate with cross functional teams to define AI/ML project goals, success criteria, and development roadmaps that align with mission priorities.
  • Understand and guide the design of advanced AI/ML models and algorithms, ensuring solutions effectively address complex mission challenges and deliver measurable value.
  • Translate mission and business challenges into AI/ML opportunities, clearly articulating benefits, risks, and tradeoffs to non-technical stakeholders.
  • Stay current on emerging AI/ML technologies, introducing best practices, tools, and methodologies to strengthen the customer's technical posture.
  • Provide mentorship and technical leadership to junior AI/ML practitioners, fostering a culture of innovation and continuous learning.
  • Work closely with customer and vendor data engineers and architects to ensure data pipelines, infrastructure, and compute environments are optimized for model development and deployment.
  • Support vendor teams in rigorous model validation and performance testing, ensuring AI/ML solutions meet mission requirements for accuracy, reliability, and robustness.

Qualifications
Required Education and Experience:
  • Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
  • Active Top Secret Clearance with Polygraph.
  • 5+ years of industry experience in supporting AI/ML solutions.
  • Experience with cloud computing services (e.g., AWS, Azure, Google Cloud) and their AI/ML offerings.
  • Experience with ML frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).
  • Experience with data modeling, data pipeline creation, and deployment of ML models in production environments.
  • Experience with DevOps practices, including MLOps, and CI/CD pipelines for AI/ML.
  • Strong analytical and problem-solving skills with the ability to work on complex issues where analysis of situations requires an in-depth evaluation of variable factors.
  • Excellent communication and interpersonal skills, with a proven record of engaging stakeholders and mentoring teams.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Overview
SAIC accepts applications on an ongoing basis and there is no deadline.
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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