AI Engineer
Summary
Axiologic Solutions seeks an AI Engineer in Washington, DC to design AI/ML and cloud data pipeline architectures, support agentic AI development, and produce AI governance artifacts (model risk scorecards, boundary definitions, automated compliance reporting). Requires 5+ years of experience and TS/SCI eligibility; AWS/Azure AI/ML certification preferred.
Axiologic Solutions is seeking an experienced AI Engineer to support AI/ML architecture design and engineering, including enterprise architecture baseline development, solution architecture, and architecture governance. The AI Engineer will support AI model governance, cloud-based data pipeline architectures, and agentic AI system development.
This role will also support the development of agent evaluation frameworks, prompt engineering governance standards, AI model fine-tuning pipeline architectures, and AI governance artifacts such as model risk scorecards, agentic system boundary definitions, and automated compliance reporting for AI deployments.
Duties and Responsibilities
- Support AI/ML architecture design and engineering across enterprise environments.
- Assist with enterprise architecture baseline development, solution architecture, and architecture governance.
- Support AI model governance frameworks and data pipeline architectures leveraging cloud infrastructure.
- Assist with agentic AI development, including agent evaluation frameworks and intelligent workflows.
- Support prompt engineering governance standards and AI model fine-tuning pipeline architectures.
- Develop AI governance artifacts, including model risk scorecards, agentic system boundary definitions, and automated compliance reporting.
- Collaborate with technical teams and stakeholders to ensure AI solutions align with enterprise architecture, security, and mission requirements.
Required Qualifications
- 5+ years of relevant professional experience in AI/ML engineering, artificial intelligence, data science, software engineering, or a related technical field.
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Experience with AI/ML architecture, model development, deployment, and governance.
- Experience with cloud infrastructure and AI/ML data pipeline architectures.
- Familiarity with agentic AI, prompt engineering, model evaluation, and model fine-tuning.
Ability to develop technical documentation and AI governance artifacts.
Desired Qualifications
- AWS or Microsoft Azure AI/ML specialty certification preferred.
- Experience with agentic AI systems, AI model risk management, or responsible AI governance.
- Experience supporting enterprise-scale AI/ML solutions in complex technical environments.
TS/SCI eligibility required for the position. Candidates with an active TS/SCI are preferred; candidates with a recent active TS may also be considered for SCI upgrade based on eligibility and program requirements.
Salary Range: $90,000 – $186,000