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Junior Ai Engineer Jobs in Reston, VA (NOW HIRING)

SAIC

Senior Principal AI/ML Systems Engineer

Chantilly, VA · On-site

$160K - $200K/yr

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 ...

New

AnaVation LLC

Sr. Cyber Engineer (AI)

Chantilly, VA · On-site

They are seeking a Senior AI Engineer to build advanced AI-driven systems for vulnerability ... • Mentor junior engineers and guide cross-functional research initiatives. Qualifications

Pwc

Tax Innovation - AI Engineer - Manager

Washington, DC · On-site

$99K - $266K/yr

... Engineer, you will lead the design, development, and deployment of AI solutions to enhance ... As a Manager, you will leverage your technical and leadership skills to mentor junior staff, manage ...

Nava

Sr. Cyber Engineer (AI)

Chantilly, VA · On-site

$120 - $160/hr

We are seeking a Senior AI Engineer with deep experience in vulnerability research, reverse ... Mentor junior engineers and guide cross‑functional research initiatives. Required Qualifications ...

Ampcus Inc

JR. Engineer

Chantilly, VA · On-site

We are seeking a motivated and enthusiastic Junior Engineer to join our team in our Corporate ... AI APIs into web and mobile applications, utilizing frameworks such as Node.js, React, and Next.js ...

AnaVation

Sr. Cyber Engineer (AI)

Chantilly, VA · On-site

We are seeking a Senior AI Engineer with deep experience in vulnerability research, reverse ... Mentor junior engineers and guide cross-functional research initiatives. Required Qualifications ...

AnaVation

Sr. Cyber Engineer (AI)

Chantilly, VA · On-site

We are seeking a Senior AI Engineer with deep experience in vulnerability research, reverse ... Mentor junior engineers and guide cross-functional research initiatives. Required Qualifications ...

AnaVation

Sr. Cyber Engineer (AI)

Chantilly, VA · On-site

We are seeking a Senior AI Engineer with deep experience in vulnerability research, reverse ... Mentor junior engineers and guide cross-functional research initiatives. Required Qualifications ...

Technogen, Inc.

Junior DevSecOps Engineer

Reston, VA · On-site

Junior DevSecOps Engineer Washignton, D.C(Hybrid) 12+ Months Contract 3+ years DevOps/DevSecOps ... FedRAMP/NIST experience ; familiarity with AI-assisted DevSecOps tooling. Regards, Hari C

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Junior Ai Engineer information

See Reston, VA salary details

$34.9K

$74.7K

$113.9K

How much do junior ai engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for junior ai engineer in Reston, VA is $74,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $83,200.00 per year, depending on experience, location, and employer.

What is a Junior AI Engineer?

A Junior AI Engineer is an entry-level professional who assists in the development and implementation of artificial intelligence models and systems. They typically work under the supervision of more experienced engineers to build, test, and deploy machine learning models, process data, and write code. Junior AI Engineers often collaborate with data scientists and software developers to integrate AI solutions into products or services. Their role is ideal for those with foundational knowledge in programming, mathematics, and machine learning concepts, looking to gain hands-on experience in the AI field.

What are the key skills and qualifications needed to thrive as a Junior AI Engineer?

To thrive as a Junior AI Engineer, you need a solid understanding of programming (especially Python), mathematics (linear algebra, statistics), and foundational machine learning concepts, often supported by a relevant degree or coursework. Familiarity with tools such as TensorFlow, PyTorch, and version control systems like Git is typically required, along with knowledge of cloud platforms like AWS or Azure. Strong problem-solving skills, willingness to learn, and effective teamwork and communication abilities help you stand out in this collaborative, fast-evolving field. These skills ensure you can contribute to AI projects efficiently, adapt to new technologies, and work well within multidisciplinary teams.

What are some typical challenges a Junior AI Engineer might face during their first year on the job?

As a Junior AI Engineer, you may encounter challenges such as understanding complex codebases, adapting to rapidly evolving AI frameworks, and balancing the need for innovation with production-level code quality. Collaborating with data scientists, senior engineers, and product managers to align on project goals and deliverables can also be a learning curve. Additionally, managing large datasets and debugging machine learning models require strong problem-solving skills and attention to detail, but these challenges offer excellent opportunities for growth and mentorship within your team.

What is the difference between Junior Ai Engineer vs Data Scientist?

AspectJunior Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, Statistics, or related; advanced certifications
Work EnvironmentDevelopment, coding, model implementationData analysis, modeling, insights generation
Employer & Industry UsageTech companies, startups, AI-focused firmsTech, finance, healthcare, research institutions

Junior Ai Engineers focus on developing and implementing AI models, often working closely with data and algorithms. Data Scientists analyze data to extract insights and build predictive models. While both roles require programming skills and a background in data or AI, Junior Ai Engineers are more involved in the technical development of AI systems, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Ai Engineer jobs in Reston, VA?

The most popular types of Ai Engineer jobs in Reston, VA are:

What are popular job titles related to Junior Ai Engineer jobs in Reston, VA?

For Junior Ai Engineer jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Junior Ai Engineer jobs in Reston, VA look for?

The top searched job categories for Junior Ai Engineer jobs in Reston, VA are:

What cities near Reston, VA are hiring for Junior Ai Engineer jobs?

Cities near Reston, VA with the most Junior Ai Engineer job openings:

Junior Ai Engineer jobs near you
Infographic showing various Junior Ai Engineer job openings in Reston, VA as of August 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 63% Physical, 5% Hybrid, and 32% Remote job distribution, with an average salary of $74,834 per year, or $36 per hour.

Senior Principal AI/ML Systems Engineer

SAIC

Chantilly, VA • On-site

$160K - $200K/yr

Other

Posted 3 days ago

New

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 80 frontline employees who took The Breakroom Quiz

88th of 226 rated it services

Job description

Job ID: 2616322-OTHLOC-216
Location: Chantilly, VA, US
Date Posted: 2026-08-31
Category: Information Technology
Subcategory: Cloud Comp Engr
Schedule: Full-Time
Shift: Day Job
Travel: Yes - 10% of the time
Minimum Clearance Required: TS.SCI_wPoly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_ON_SITE
Description
?SAIC is seeking a highly skilled AI/ML Systems Engineer to provide Systems Engineering and Technical Advisory (SETA) support to a mission critical program in any of the following locations El Segundo, CA, Chantilly, VA, or Cape Canaveral, FL. In this role, candidate will directly support the National Reconnaissance Office's (NRO) Office of Space Launch (OSL)-the organization responsible for launch system acquisitions, mission planning, integration and on-orbit operations across the mission full lifecycle.
As an AI/ML Systems Engineer, candidate will play a pivotal role in shaping the customer's AI/ML strategy, 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.
Active Top Secret Clearance with Polygraph is required.
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 trade offs 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
  • Bachelors and nine (14) years or more experience; Masters and seven (9) years or more experience ; PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of degree.
  • Active Top Secret Clearance with Polygraph.
  • Relevant industry experience in designing and implementing AI/ML solutions.
  • Strong knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).
  • Experience with cloud computing services (e.g., AWS, Azure, Google Cloud) and their AI/ML offerings.
  • Proficient in data modeling, data pipeline creation, and deployment of ML models in production environments.
  • Familiarity with DevOps practices, including MLOps, and CI/CD pipelines for AI/ML.
  • Must have SECURE Plus Certification.
  • 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.
SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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