AI Engineer

Ideal Candidate Profile

Seeking an AI Engineer with experience in AI/ML engineering, Python development, cloud-based data pipelines, and machine learning frameworks. Must hold an active Top Secret (TS) security clearance and DoD 8140 certification, with knowledge of AI model governance, lifecycle management, agentic AI, RAG architectures, vector databases, and AI monitoring, preferably in DoD or Intelligence Community environments.

Job Duties & Responsibilities

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.

Required Skills

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.

Preferred Skills

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.