The Role
Supports the design, development, and governance of AI and ML architectures for enterprise modernization. Responsibilities include building cloud data pipelines, AI governance frameworks, agentic AI and RAG architectures, vector database integrations, model monitoring, explainability, bias detection, drift management, and architecture documentation. Collaborates with enterprise architects and engineering teams while supporting governance reviews and technical assessments.
Summary Generated by Built In
AI Engineer 1
Job ID#:26-1116
Clearance: Top Secret with SCI eligibility
Location: DC Metro
Who We Are:
Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.
What We Do:
At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.
What You’ll Do:
The AI Engineer 1 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:
Job ID#:26-1116
Clearance: Top Secret with SCI eligibility
Location: DC Metro
Who We Are:
Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.
What We Do:
At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.
What You’ll Do:
The AI Engineer 1 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.
- 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.
- 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
Skills Required
- Active Top Secret security clearance with SCI eligibility
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
- 3+ years of experience supporting AI/ML engineering or solution development
- Experience with 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
- DOW 8140 certification
- Ability to obtain and maintain the required Top Secret government security clearance
- Master's degree in Computer Science, Engineering, Information Technology, or a related discipline
- Experience supporting DoD or Intelligence Community environments
- AWS or Azure AI/ML specialty certification
- Experience with large language models, RAG, and vector databases
- Knowledge of MLOps tools and AI observability platforms
- Familiarity with the NIST AI Risk Management Framework and DoD AI guidance
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The Company
What We Do
Incorporated in 2006, Navitas Business Consulting Inc, is a Woman-Owned, Small Business (WOSB) with areas of expertise in Cloud Migration, Data & Insights, Artificial Intelligence, Threat Intelligence, Cybersecurity, Agile PMO & Advisory and Healthcare. Specializing in Federal, Commercial, and State & Local customers. We are proud to be recognized as the “Top Places to Work” by Washington Post from 2018-2022, and 2024!
