AI Engineer 3Job ID#:26-1136Clearance: Top Secret with SCI eligibilityLocation: DC MetroWhat You'll Do:
Navitas is seeking an experienced AI Engineer to support enterprise AI/ML architecture initiatives, governance frameworks, and agentic AI capabilities across federal modernization programs. The AI Engineer will contribute to the design, implementation, and governance of AI-enabled solutions, supporting enterprise architecture baselines, solution architecture development, cloud-based AI platforms, and compliance-driven AI deployment strategies. This role will help establish scalable and secure AI ecosystems while ensuring alignment with agency architecture standards, governance requirements, and emerging federal AI policies.
Responsibilities will include but are not limited to:- 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.
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
- 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.
Set Yourself Apart With:
- 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
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.
