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# AI Engineer

- **Company:** M9 Solutions
- **Location:** Washington, DC, United States
- **Experience:** Experienced
- **Salary:** $60,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Audit Trail, Microsoft Azure, Cyber Security, Decision Support Systems, Information Retrieval, Python (Programming Language), NoSQL, OpenAI, Azure Machine Learning, Search Technologies, Software Engineering, SQL Databases, LangChain, ReactJS, Retrieval-Augmented Generation, Flask (Web Framework), Prompt Engineering, Model Validation, Llamaindex, Agentic-AI, Git, Fastapi, National Institute of Standards and Technology Cybersecurity Framework, SC Clearance, Microsoft Copilot Studio, Data Analytics, Front End Software Development, Restful APIs, Semantic Kernel, GPT, Data Pipelines, Devsecops, AI Co-pilot, Plan of Action and Milestones
- **Published:** October 3, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9215050/ai-engineer

## About the Role

* Secret security clearance.
 * 5+ years of software engineering experience.
 * 3+ years developing AI/ML-enabled applications.
 * Experience with Python, FastAPI or Flask, React or modern front-end frameworks, Azure OpenAI, LangChain, Semantic Kernel, LlamaIndex or equivalent, REST APIs, SQL and NoSQL databases, and Git-based DevSecOps pipelines.
 * Experience developing RAG architectures, agentic workflows, vector databases, prompt engineering frameworks, and document intelligence solutions.
 * Experience working with unstructured content including policies, audit reports, findings, and compliance documentation.
 * Understanding of FISMA, NIST Cybersecurity Framework, NIST SP 800-53, Continuous Monitoring, POA&M processes, cyber audit lifecycle, risk assessments, and Governance, Risk, and Compliance (GRC).
 * Ability to engage directly with senior government stakeholders and translate complex cybersecurity requirements into technical solutions.

Preferred Skills and Qualifications

 * Experience supporting federal civilian agencies.
 * Exposure to federal civilian cybersecurity environments.
 * Knowledge of audit finding management, Notification of Findings & Recommendations (NFRs), Corrective Action Plan development, and audit evidence collection and analysis.
 * Experience building AI solutions for compliance, governance, or risk management programs.
 * Familiarity with Microsoft Power Platform, Fabric, Purview, Copilot Studio, and Azure AI services.

## Description

M9 Solutions is seeking an AI Engineer to work hybrid remote/on-site in support of a government contract for a client located in Washington, DC. An active Secret clearance is required., * Designs and develops AI-enabled applications supporting FISMA audit readiness, GAO audit response activities, NFR and POA&M management, Corrective Action Plan (CAP) generation, audit evidence and PBC analysis, and control testing support.

 * Builds custom GPT and RAG-based solutions that automate audit research, findings analysis, and recommendation development.
 * Develops capabilities to identify recurring compliance deficiencies, thematic risks, and control weaknesses across audit artifacts.
 * Develops secure AI copilots that leverage organizational repositories, policies, standards, procedures, and prior audit documentation.
 * Implements vector databases, semantic search, and knowledge retrieval architectures to improve auditor productivity.
 * Develops AI capabilities that support NIST CSF mapping, FISMA control assessments, policy review and comparison, audit narrative generation, and executive reporting.
 * Creates solutions to automate review and clearance of cybersecurity directives, policies, standards, and procedures.
 * Enhances existing initiatives focused on AI-driven reviews of regulatory and policy documentation.
 * Develops automated compliance mapping against NIST, FISMA, OMB, and federal cybersecurity requirements.
 * Designs data pipelines that integrate audit data, findings repositories, POA&M tracking systems, and compliance datasets.
 * Develops dashboards that provide audit readiness metrics, open finding trends, control deficiency analysis, and program risk indicators.
 * Implements predictive analytics to identify emerging compliance and cyber governance risks.
 * Ensures AI solutions comply with federal cybersecurity requirements and AI governance standards.
 * Implements model evaluation frameworks, prompt security controls, audit logging, and explainability mechanisms.
 * Supports alignment with NIST AI RMF, federal AI policy guidance, and federal governance requirements.
 * Identifies opportunities to reduce manual audit effort through automation.
 * Supports the transition from static reporting toward AI-enabled decision support and data-driven governance.
 * Develops proof-of-concepts and production-ready capabilities that enhance cybersecurity oversight functions.