AI Engineer with Active Top-Secret Clearance

Navitas Business Consulting, Inc.; Herndon (VA); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Navitas Business Consulting, Inc. in Herndon, VA seeks an AI Engineer with a Top Secret clearance and SCI eligibility to support enterprise AI modernization. Hybrid work arrangement combines remote and on-site collaboration on government programs.

The role covers AI/ML architecture design, model governance, data pipelines, and governance alignment with enterprise standards. A background in cloud platforms and Python is required.

Qualifications

• Active Top Secret security clearance with SCI eligibility.
• Bachelor’s degree in CS/Engineering/Data Science or related field; Master preferred.
• 3+ years of AI/ML engineering experience.
• 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.

Responsibilities

• Design, develop, and govern AI/ML architectures for enterprise modernization.
• Develop AI model governance, monitoring, and lifecycle management.
• Design agentic AI architectures and multi-agent orchestration frameworks.
• Create retrieval-augmented generation (RAG) architectures and vector DB integrations.
• Support explainability, bias detection, performance monitoring, and drift management.
• Collaborate with enterprise architects to integrate AI into enterprise platforms.
• Support architecture governance reviews and technical assessments.
• Document AI architecture designs and implementation guidance.

Skills

AI/ML engineering

Python

Cloud platforms

API development

Data architecture

DOW 8140 certified

Education

Bachelor’s degree in CS/Engineering/Data Science or related field

Master’s degree preferred

Tools

Vector databases

LLMs

MLOps tools

Job description

AI Engineer

Clearance: Top Secret with SCI eligibility

Location: Herndon, VA (Hybrid)

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.