AI Engineer - ICAM
About The Position
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 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.
Requirements
- 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.
- US Citizenship Required
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.
Benefits
- Comprehensive benefits and wellness packages
- 401K with company match
- Competitive pay
- 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.
- 15 days of paid leave per calendar year to be used for vacations, personal business, and illness
- 10 paid holidays per year
- 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 are provided or available.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
