AI Engineer

Axiologic Solutions LLC • Full-time • District of Columbia, United States • 1d ago

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