Join Axiologic Solutions in Herndon, VA to design and govern AI/ML systems across enterprise environments.

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 cloud-based AI/ML data pipeline architectures
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 align AI solutions with enterprise architecture, security, and mission requirements

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

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

USD 90,000 - 186,000 per yearly
Range is provided in good faith and based on job-related factors including role responsibilities, Federal Government contract labor category requirements, contract wage determinations when applicable, clearance requirements, work location, relevant experience, education, certifications, specialized skills, internal equity, and approved funding
For proposal-contingent positions, the range is an anticipated good-faith range based on current proposal assumptions; final compensation may vary with contract award, finalized customer requirements, approved funding, labor category alignment, and candidate qualifications

Location: Herndon, VA (onsite)

AI Engineer

Job Description