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AI Engineer Associate

SAIC

Upper Marlboro, MD

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JOB DETAILS
SALARY
$80,001–$120,000 Per Year
SKILLS
Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Biometrics, Cloud Computing, Communication Skills, Computer Programming, Computer Science, Computer Services, Computer Vision, Cross-Functional, Data Collection, Data Management, Data Science, Equipment Maintenance/Repair, Federal Government, Fingerprint Recognition, GPU (Graphics Processing Unit), Git, Government, High Availability, High Reliability, Information Technology & Information Systems, Information/Data Security (InfoSec), Machine Learning, Machine Tool, Modeling Languages, Open Source, Problem Solving Skills, Process Improvement, Python Programming/Scripting Language, Software Engineering, Source Code/Configuration Management (SCM), System Integration (SI), Systems Engineering, Use Cases, Work From Home
LOCATION
Upper Marlboro, MD
POSTED
3 days ago
Job ID: 2612236

Location: Upper Marlboro, MD, US

Date Posted: 2026-05-06

Category: Engineering and Sciences

Subcategory: Machine Learning Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 25% of the time

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: ORA_HYBRID

Description

SAIC is seeking a machine learning engineer with hands-on experience deploying machine learning and artificial intelligence models. Experience with on-premises deployment of large language models (LLMs) is desired. The candidate will join the dynamic team at the Identity and Data Sciences Laboratory (IDSL). The IDSL is tasked with evaluating how new AI technologies can be best integrated into operational use-cases across the US government. We are investigating how AI systems can improve process efficiency and effectiveness as well as how to optimally team AI systems with human operators. Our engineers enjoy a great work-life balance and work in an environment that promotes learning and exploration.

The IDSL is based in Upper Marlboro, MD. Up to 20% travel is expected within the continental US. This is a hybrid position with 3 days per week expected in the office.

Responsibilities:
  • Deploy, configure, and maintain machine learning models and large language models (LLMs) on GPU-enabled on-premises servers and cloud infrastructure, ensuring high availability and reliability for all team stakeholders.
  • Design and implement secure, efficient data pipelines for AI systems within air-gapped and networked environments.
  • Develop and integrate agentic AI pipelines leveraging open-source LLMs and on-premises GPU hardware.
  • Contribute to in-person data collections at the Maryland Test Facility.
  • Stay current with the rapidly evolving AI hardware and software landscape, identifying and recommending improvements to tooling, infrastructure, and deployment practices.
  • Collaborate frequently with software, networking, data science, and cloud engineering teams to align AI infrastructure with existing laboratory infrastructure.
  • Work closely with the lead AI scientist to carry out these responsibilities.


Qualifications

Required:
  • BS in computer science, machine learning, computer vision, biometrics or a related field.
  • Strong programming skills in languages such as Python and version control systems such as Git.
  • Hands-on experience deploying and configuring LLMs, including an understanding of prompt engineering techniques.
  • Experience specifying and working with GPU hardware to meet the performance demands of AI workloads.
  • Experience with AI frameworks like TensorFlow or PyTorch.
  • Experience deploying and configuring LLMs and an understanding of prompt engineering.
  • Excellent analytical, communication, and problem-solving skills with the ability to work effectively across multidisciplinary teams.

Desired:
  • Familiarity with biometric and identity systems, including face, iris, or fingerprint recognition technologies.
  • Familiarity with RAG, Vector Stores, and Agentic AI.
  • Familiarity with cloud platforms such as AWS, including managed AI and compute services (e.g., Amazon Bedrock).
  • Exposure to secure or air-gapped deployment environments and associated data handling requirements.
  • Awareness of current and emerging AI hardware options and a demonstrated habit of tracking developments in the field.
  • Experience operating Agentic AI coding tools (e.g., Claude Code) in a safe, structured, and productive manner.


Target salary range: $80,001 - $120,000. 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 .

About the Company

S

SAIC

SAIC is a premier Fortune 500® technology integrator driving our nation's digital transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, IT modernization, and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions that are critical to achieving our customers' missions. We are a team of 26,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.1 billion. For more information, visit saic.com.
COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer/IT Services
FOUNDED
2013
WEBSITE
https://jobs.saic.com/

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