Note: The job is a remote job and is open to candidates in USA. General Dynamics Information Technology is a global technology and professional services company that delivers consulting and mission services across the U.S. government. The AI Engineer for the ICAM program will research, design, develop, and implement AI solutions to enhance Identity, Credential, and Access Management capabilities, collaborating with various stakeholders to improve operational efficiency and cybersecurity.
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
Skills
- Bachelor's Degree and a minimum of 8 years' experience required. An additional 4 years of experience may be substituted in lieu of degree
- Minimum of an active Secret security clearance required
- Minimum of an active CompTIA Security+ certification or higher
- 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
- Comprehensive benefits and wellness packages
- 401K with company match
- Competitive pay and paid time off
- Full flex work weeks where possible
- A variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
- 15 days of paid leave per calendar year to be used for vacations, personal business, and illness
- 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
- Short and long-term disability benefits
- Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance
- Medical plan options, some with Health Savings Accounts
- Dental plan options
- Vision plan
- 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
- Growth: AI-powered career tool that identifies career steps and learning opportunities
- Support: An internal mobility team focused on helping you achieve your career goals
- Award-winning culture of innovation and a military-friendly workplace
Company Overview