Active Top Secret (TS) security clearance with SCI eligibility
Bachelor's degree in Computer Science, Engineering, Data Science, or related field; Master's preferred
3+ years of experience in AI/ML engineering or solution development
Experience with cloud platforms like AWS, Azure, or Google Cloud
Proficiency in Python, machine learning frameworks, and API development
Understanding of AI governance and model lifecycle management
Must be DOW 8140 certified
Responsibilities
Support the design and implementation of AI/ML architectures and cloud-based data pipelines
Develop AI model governance frameworks and monitoring processes
Design agentic AI architectures, including multi-agent orchestration frameworks
Develop retrieval-augmented generation (RAG) architectures and vector database integrations
Support explainability, bias detection, and model performance monitoring
Collaborate with enterprise architects to integrate AI technologies
Document AI architecture designs and implementation guidance
Benefits
Top Secret security clearance required
Opportunity to work on cutting-edge AI/ML technologies
Collaboration with enterprise architects and engineering teams
Engagement in enterprise modernization initiatives
Potential for professional development and certifications
Full Job Description
AI Engineer Job ID#:26-1116 Clearance: Top Secret with SCI eligibility Location: DC Metro
What You'll Do: The AI Engineer supports the design, development, and governance of Artificial Intelligence (AI) and Machine Learning (ML) architectures supporting enterprise modernization initiatives. This role contributes to AI architecture development, model governance, data pipeline engineering, and agentic AI capabilities while ensuring alignment with enterprise architecture standards and governance requirements.
Responsibilities will include but are not limited to:
Support the design and implementation of AI/ML architectures and cloud-based data pipelines.
Develop AI model governance frameworks, monitoring processes, and lifecycle management capabilities.
Design and implement agentic AI architectures, including multi-agent orchestration frameworks and autonomous workflow solutions.
Develop retrieval-augmented generation (RAG) architectures and vector database integrations.
Support explainability, bias detection, model performance monitoring, and drift management activities.
Collaborate with enterprise architects and engineering teams to integrate AI technologies into enterprise platforms.
Support architecture governance reviews and technical assessments.
Document AI architecture designs, standards, and implementation guidance.
What You'll Need:
Active Top Secret (TS) security clearance with SCI eligibility.
Bachelor's degree in Computer Science, Engineering, Data Science, or related field, Master preferred
3+ years of experience supporting AI/ML engineering or solution development.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Experience with Python, machine learning frameworks, and API development.
Understanding of AI governance, model lifecycle management, and data architecture concepts.
Must be DOW 8140 certified
Ability to obtain and maintain required Top Secret government security clearance.
Set Yourself Apart With:
Master's degree in Computer Science, Engineering, Information Technology, or related discipline.
Experience supporting DoD or Intelligence Community environments.
AWS or Azure AI/ML specialty certification
Experience with large language models (LLMs), RAG, and vector databases.
Knowledge of MLOps tools and AI observability platforms.
Familiarity with NIST AI Risk Management Framework and DoD AI guidance.
Salary Range: $120k - $135k
The salary range listed reflects our standard market pay structure. Final compensation will be determined based on multiple factors, including, but not limited to, the candidate's unique qualifications, skills required for the position, professional experience, education, and business needs, at the time of hire.
