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

Job Qualifications:

Skills:
Advanced Analytics, AI Governance, AI Platforms, AI Risk Management, Data Science
Certifications:
None
Experience:
8 + years of related experience
US Citizenship Required:
Yes

Job Description:

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.

MEANINGFUL WORK AND PERSONAL IMPACT:
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.

• 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.

WHAT YOU'LL NEED TO SUCCEED (Required):
Bring your expertise and drive for innovation to GDIT. The AI Engineer must have:

Education & Experience: Bachelor's Degree and a minimum of 8 years' experience required. An additional 4 years of experience may be substituted in lieu of degree.

Clearance: Minimum of an active Secret security clearance required.

Certification: Minimum of an active CompTIA Security+ certification or higher.

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.

The likely salary range for this position is $153,000 - $207,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:
40

Travel Required:
Less than 10%

Telecommuting Options:
Remote

Work Location:
USA VA Falls Church

Additional Work Locations:
Any Location / Remote

Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.