AI Engineer

Description

The company provides IT services and solutions to federal government clients, having supported more than 30 federal agencies and several commercial customers nationwide.

This is a hybrid AI Engineer role on a government contract for a client in Washington, DC. You must hold an active Secret clearance.

The company is a small business with over 15 years of delivery experience and offers project management, solution architecture, business analysis, and technical consulting.

Responsibilities

• Build AI applications that support audit readiness, including FISMA work, GAO audit responses, NFRs, POA&M management, corrective action plans, audit evidence and PBC analysis, and control testing.
• Create custom GPT and RAG tools that speed up audit research, findings analysis, and recommendation writing.
• Build secure AI copilots that draw on the organization's repositories, policies, standards, procedures, and past audit records.
• Set up vector databases, semantic search, and knowledge retrieval to make auditors more productive.
• Design AI features for NIST CSF mapping, FISMA control assessments, policy comparison, audit narratives, and executive reporting.
• Automate the review and clearance of cybersecurity directives, policies, standards, and procedures, and improve existing AI tools that review regulatory and policy documents.
• Automate compliance mapping against NIST, FISMA, OMB, and other federal cybersecurity requirements.
• Build data pipelines that bring together audit data, findings, POA&M tracking systems, and compliance datasets.
• Create dashboards for audit readiness, open finding trends, control deficiencies, and program risk indicators.
• Use predictive analytics to spot emerging compliance and cyber governance risks.
• Find ways to cut manual audit work through automation.
• Help move reporting from static documents toward AI-supported decision support and data-driven governance.
• Build proofs of concept and production-ready tools that strengthen cybersecurity oversight.
• Make sure AI solutions meet federal cybersecurity requirements and AI governance standards, including model evaluation, prompt security, audit logging, explainability, and alignment with NIST AI RMF and federal AI policy.

Requirements

• Active Secret security clearance.
• 5+ years of software engineering experience.
• 3+ years building AI or ML-enabled applications.
• Hands-on work 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 with RAG architectures, agentic workflows, vector databases, prompt engineering frameworks, and document intelligence.
• Experience with unstructured content such as policies, audit reports, findings, and compliance documentation.
• Working knowledge of FISMA, the NIST Cybersecurity Framework, NIST SP 800-53, continuous monitoring, POA&M processes, the cyber audit lifecycle, risk assessments, and GRC.
• Ability to work directly with senior government stakeholders and turn complex cybersecurity requirements into technical solutions.
• Preferred: experience supporting federal civilian agencies.
• Preferred: exposure to federal civilian cybersecurity environments.
• Preferred: knowledge of audit finding management, NFRs, corrective action plan development, and audit evidence collection and analysis.
• Preferred: experience building AI solutions for compliance, governance, or risk management programs.
• Preferred: familiarity with Microsoft Power Platform, Fabric, Purview, Copilot Studio, and Azure AI services.

Conditions

Hybrid role, with work split between the client site in Washington, DC and remote work.

Full-time position.

Pay range of $60,000 to $180,000 USD, which is a general guideline and not a guarantee; final offers depend on factors such as responsibilities, education, experience, skills, internal equity, location, and market data.

The company is a federal subcontractor and follows federal laws against employment discrimination.

Benefits

• Benefits are listed separately on the company's benefits page.