26-1136: AI Engineer 3 - Herndon, VA

• Support AI/ML architecture design and engineering activities across enterprise architecture and modernization initiatives.
• Assist in developing and maintaining enterprise AI architecture baselines, target-state architectures, and transition roadmaps.
• Contribute to solution architecture efforts for AI-enabled systems, integrating cloud-native services and advanced analytics platforms.
• Support the development and maintenance of AI model governance frameworks, including model lifecycle management, risk assessments, and compliance monitoring.
• Assist in designing scalable data pipeline architectures to support AI/ML training, inference, monitoring, and continuous improvement.
• Support development of agentic AI systems, including autonomous workflow orchestration, multi-agent architectures, and human-in-the-loop governance mechanisms.
• Assist in establishing prompt engineering standards, prompt governance processes, and evaluation methodologies for generative AI solutions.
• Contribute to AI model fine-tuning pipeline architectures and optimization strategies leveraging cloud-based AI/ML services.
• Produce AI governance artifacts, including model risk scorecards, architecture decision records, agentic system boundary definitions, and deployment documentation.
• Support automated compliance reporting, AI inventory management, and governance dashboards for agency AI initiatives.
• Assist with architecture governance reviews and ensure AI solutions align with enterprise architecture standards, cybersecurity requirements, and responsible AI principles.
• Collaborate with architects, data engineers, cybersecurity teams, and business stakeholders to support enterprise AI adoption and operationalization.

• Active Top Secret (TS) security clearance with SCI eligibility.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field, Master preferred
• 5+ years of experience supporting AI/ML engineering, data engineering, cloud architecture, software engineering, or related technical disciplines.
• Experience supporting AI/ML solution development within cloud environments.
• Experience working with machine learning frameworks, model lifecycle management, and data pipeline architectures.
• Familiarity with enterprise architecture principles, solution architecture methodologies, and system integration practices.
• Experience supporting AI governance, responsible AI practices, or compliance-driven technology implementations is preferred.
• Must be DOW 8140 certified 
• Ability to obtain and maintain required Top Secret government security clearance.

• Master’s degree in Computer Science, Engineering, Information Technology, or related discipline.
• AI/ML platforms and services including Azure AI, Azure Machine Learning, Amazon SageMaker, OpenAI services, or comparable platforms.
• Generative AI and large language model (LLM) technologies.
• Agentic AI architectures, retrieval-augmented generation (RAG), model evaluation techniques, and prompt engineering.
• Python, data engineering frameworks, API integration, and automation tools.
• Cloud-native architecture and deployment patterns across AWS and Azure environments.
• Enterprise architecture frameworks and governance methodologies.
• AI security, model monitoring, and compliance reporting capabilities.
• AWS Certified Machine Learning Specialty
• AWS Certified AI Practitioner
• Microsoft Azure AI Engineer Associate
• Microsoft Azure Data Scientist Associate
• Other industry-recognized AI/ML or cloud architecture certifications

Salary Range: $120k - $155k