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AI Engineer - ICAM

General Dynamics Information Technology
Falls Church, Virginia, United StatesFull timePosted today
Location
Falls Church, Virginia, United States
Type
Full time
Salary
$153,000 - $207,000/year

AI Engineer – ICAM Program

Type of Requisition: Regular

Clearance Level Must Currently Possess: Secret

Clearance Level Must Be Able to Obtain: Secret

Public Trust/Other Required: None

Job Family: Data Science and Data Engineering

Work Location: USA VA Falls Church (Remote)

Telecommuting Options: Remote

Scheduled Weekly Hours: 40

Travel Required: Less than 10%

Salary Range: $153,000 - $207,000

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About the Role

As an AI Engineer for the ICAM program, you will be responsible for researching, designing, developing, and implementing Artificial Intelligence (AI) solutions that enhance Identity, Credential, and Access Management (ICAM) capabilities across the Department of War enterprise. You will work with identity architects, cybersecurity engineers, data analysts, software developers, and mission stakeholders to identify opportunities where AI can improve identity analytics, access governance, operational efficiency, cybersecurity, and decision support. This position is 100% remote.

This role will help establish and mature AI capabilities across the ICAM ecosystem by leveraging machine learning, generative AI, predictive analytics, natural language processing, and intelligent automation technologies. The AI Engineer will support the full lifecycle of AI initiatives from concept development and experimentation through production implementation and sustainment while ensuring compliance with DoW security requirements and responsible AI principles.

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Key Responsibilities

  • Design, develop, test, and implement AI and machine learning solutions supporting enterprise ICAM objectives.
  • Identify opportunities to improve identity governance, access management, onboarding processes, and operational workflows through AI-driven capabilities.
  • Develop predictive analytics, anomaly detection, behavioral analysis, and risk-scoring models using identity and access management data.
  • Support the implementation of Generative AI solutions, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and intelligent assistants to improve operational efficiency and user support.
  • Analyze large volumes of authentication, authorization, audit, entitlement, and access governance data to identify trends, risks, and actionable insights.
  • Collaborate with engineers and architects to integrate AI capabilities into existing ICAM platforms and enterprise services.
  • Evaluate emerging AI technologies and recommend solutions applicable to ICAM, Zero Trust, and cybersecurity use cases.
  • Develop proof-of-concepts, prototypes, and pilot programs to validate AI capabilities before enterprise adoption.
  • Support creation of AI governance processes, model validation procedures, and responsible AI controls.
  • Develop technical documentation, architecture artifacts, implementation plans, and operational procedures.
  • Participate in Agile development activities including sprint planning, backlog refinement, demonstrations, and retrospectives.
  • Collaborate with cybersecurity teams to ensure AI capabilities align with DoW security requirements, privacy protections, and risk management frameworks.
  • Support data preparation, feature engineering, model evaluation, tuning, and performance monitoring activities.
  • Provide technical leadership and subject matter expertise regarding AI technologies and industry best practices.

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Required Qualifications

Education & Experience:

  • Bachelor's Degree and a minimum of 8 years' related experience required, OR an additional 4 years of experience may be substituted in lieu of degree.

Clearance & Certification:

  • Minimum of an active Secret security clearance required.
  • Minimum of an active CompTIA Security+ certification or higher.
  • US Citizenship Required: Yes

Technical Skills:

  • 5+ years of experience in artificial intelligence, machine learning, data science, advanced analytics, or software engineering.
  • Experience designing, developing, or implementing enterprise AI solutions.
  • Strong experience with Python and AI/ML development frameworks.
  • Experience with machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, or equivalent technologies.
  • Experience developing and implementing Large Language Model (LLM) solutions, prompt engineering techniques, and Retrieval Augmented Generation (RAG) architectures.
  • Experience with natural language processing (NLP), semantic search, vector databases, and knowledge retrieval technologies.
  • Experience working with structured and unstructured datasets, data preparation, model training, and performance evaluation.
  • Understanding of statistical analysis, predictive modeling, classification, clustering, and anomaly detection techniques.
  • Experience integrating AI solutions with enterprise applications, APIs, and business processes.
  • Familiarity with Microsoft Azure AI Services, Azure OpenAI, AWS Bedrock, Anthropic, OpenAI, or equivalent AI platforms.
  • Proven track record supporting enterprise IT customers, preferably within DoW or Federal Government environments.

Required Skills:

  • Advanced Analytics
  • AI Governance
  • AI Platforms
  • AI Risk Management
  • Data Science

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Total Rewards at GDIT

Comprehensive Benefits Package:

  • Variety of medical plan options, some with Health Savings Accounts
  • Dental plan options
  • Vision plan
  • 401(k) plan with company match

Paid Time Off:

  • Full flex work weeks where possible
  • Paid time off plans including vacation, sick, and personal time
  • Holidays: approximately 10 paid holidays per year
  • Paid parental, military, bereavement, and jury duty leave
  • New employees typically receive 15 days of paid leave per calendar year (prorated based on hire date)
  • Paid Family Leave program provides up to 160 hours of paid leave in a rolling 12-month period for eligible employees

Additional Protections:

  • Short and long-term disability benefits
  • Life, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance

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About GDIT

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Career Growth at GDIT:

  • AI-powered career tool that identifies career steps and learning opportunities
  • Internal mobility team focused on helping you achieve your career goals
  • Award-winning culture of innovation and a military-friendly workplace

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

For more information about GDIT's Privacy Policy, visit: https://www.gdit.com/privacy-policy/notices/

About General Dynamics Information Technology

General Dynamics Information Technology (GDIT) is a global technology and professional services company that delivers technology solutions and mission services to U.S. government, defense and intelligence agencies. It is a business unit of General Dynamics and offers capabilities in digital modernization, AI/ML, cloud, cybersecurity and application development. The company also acquired Iron EagleX, Inc., a provider of AI/ML, cyber, software development and cloud services.

Industry
IT Services and IT Consulting
Head office
Falls Church, Virginia, United States
Company size
10,001+ employees (GDIT states approximately 30,000)
Enterprise ITNetwork Systems IntegrationProfessional and Technical ServicesTraining and SimulationHealthInformation technologyAerospace and AviationDefenseCybersecurityCloud ComputingArtificial IntelligenceQuantum Computing
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