> Markdown version of [/jobs/ext/3865727-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3865727-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Axiologic Solutions LLC - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $90,000.0 - $186,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Database, Machine Learning, Systems Development Life Cycle, Software Engineering, Large Language Models, Prompt Engineering, Model Validation, Agentic-AI, Information Technology, Deployment Automation, Data Pipelines - **Published:** October 22, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9257957/ai-engineer ## About the Role * 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. ## Description 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.