AI Engineer – ICAM

General Dynamics Information Technology

AI Engineer at GDIT responsible for AI solutions enhancing ICAM capabilities across the Department of War enterprise. Collaborating with multidisciplinary teams to optimize identity analytics and access governance.

Posted 7/24/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $146,200 - $197,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and implementing Artificial Intelligence solutions to enhance Identity, Credential, and Access Management capabilities, while ensuring compliance with security requirements and responsible AI principles. Proficient in utilizing machine learning frameworks and tools to analyze data and improve operational efficiency.

Highest-signal resume keywords

Artificial Intelligence DevelopmentMachine Learning FrameworksPython ProgrammingLarge Language Model SolutionsCompTIA Security+ Certification

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Artificial IntelligenceMachine LearningData SciencePredictive AnalyticsAnomaly DetectionNatural Language ProcessingStatistical AnalysisModel TrainingData PreparationAccess Management

Soft Skills

CollaborationTechnical LeadershipCommunication

Tools & Technologies

TensorFlowPyTorchScikit-learnHugging FaceMicrosoft Azure AI ServicesAWS BedrockOpenAI

Certifications & Qualifications

Bachelor's DegreeActive Secret Security ClearanceCompTIA Security+ Certification

Industry Keywords

Identity ManagementAccess GovernanceCybersecurityZero TrustFederal Government

Tech Stack

Tools & technologies

AWSAzureCyber SecurityPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Researching, designing, developing, and implementing Artificial Intelligence (AI) solutions that enhance Identity, Credential, and Access Management (ICAM) capabilities across the Department of War enterprise
Working 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
Supporting the full lifecycle of AI initiatives from concept development and experimentation through production implementation and sustainment
Ensuring compliance with DoW security requirements and responsible AI principles
Designing, developing, testing, and implementing AI and machine learning solutions supporting enterprise ICAM objectives
Identifying opportunities to improve identity governance, access management, onboarding processes, and operational workflows through AI-driven capabilities
Developing predictive analytics, anomaly detection, behavioral analysis, and risk-scoring models using identity and access management data
Supporting the implementation of Generative AI solutions, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and intelligent assistants to improve operational efficiency and user support
Analyzing large volumes of authentication, authorization, audit, entitlement, and access governance data to identify trends, risks, and actionable insights
Collaborating with engineers and architects to integrate AI capabilities into existing ICAM platforms and enterprise services
Evaluating emerging AI technologies and recommending solutions applicable to ICAM, Zero Trust, and cybersecurity use cases
Developing proof-of-concepts, prototypes, and pilot programs to validate AI capabilities before enterprise adoption
Supporting creation of AI governance processes, model validation procedures, and responsible AI controls
Developing technical documentation, architecture artifacts, implementation plans, and operational procedures
Participating in Agile development activities including sprint planning, backlog refinement, demonstrations, and retrospectives
Collaborating with cybersecurity teams to ensure AI capabilities align with DoW security requirements, privacy protections, and risk management frameworks
Supporting data preparation, feature engineering, model evaluation, tuning, and performance monitoring activities
Providing technical leadership and subject matter expertise regarding AI technologies and industry best practices

Requirements

What you’ll need

Bachelor’s Degree and a minimum of 5 years’ experience required
Minimum of an active Secret security clearance required
Minimum of an active CompTIA Security+ certification or higher or the ability to obtain certification within 60 days post hire
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.

Benefits

Comp & perks

Comprehensive benefits and wellness packages
401K with company match
Competitive pay and paid time off
Full flex work weeks where possible
Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
GDIT Paid Family Leave program provides up to 160 hours of paid leave in a rolling 12 month period for eligible employees
Short and long-term disability benefits
Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance