Artificial Intelligence (AI) Solutions Engineer (part-time)

Gunnison Consulting Group•Washington, DC

1d•$72 - $81

About The Position

This part-time role, requiring 20-30 hours per week, serves as the organization's Subject Matter Expert (SME) for AI, Generative AI, Agentic AI, and emerging automation technologies. The position involves identifying, evaluating, and implementing AI solutions to enhance cybersecurity, governance, compliance, and operational efficiency. Key responsibilities include designing multi-agent systems with advanced capabilities, engineering production-grade agent workflows with robust monitoring and error recovery, and integrating these agents with various tools, APIs, data sources, and enterprise systems. The role also focuses on optimizing RAG pipelines, prompt engineering, and reasoning frameworks, leading AI proof-of-concepts to production deployments, and applying AI to optimize memory, processes, and reduce cycle times with measurable metrics.

Requirements

3-5+ years of experience in information technology, cybersecurity, automation, analytics, business transformation, or related fields.
Experience implementing AI, Generative AI, automation, or digital transformation initiatives.
Experience with prompt engineering, workflow automation, and AI-enabled productivity solutions.
Experience leading technology pilots, evaluations, or deployments.
Experience developing technical documentation, presentations, and recommendations for stakeholders.
Bachelor's degree in Cybersecurity, Information Systems, Computer Science, Information Assurance, Data Analytics, Business Technology, or related field.
One or more AI certifications.
Ability to obtain and maintain a Public Trust clearance.

Nice To Haves

Experience supporting Federal civilian agencies, HHS, CDC, or similar organizations.
Experience with Archer, ServiceNow, Power Platform, Microsoft 365, or other GRC platforms.
Experience supporting FISMA audits, security assessments, or compliance reviews.
Master's degree in Cybersecurity, Information Systems, Artificial Intelligence, Data Analytics, or related discipline.
Security+ certification.
Certified Authorization Professional (CAP).
Certified Information Systems Auditor (CISA).
Certified Information Systems Security Professional (CISSP).
AI Governance Professional (AIGP).
Microsoft AI Fundamentals (AI-900).
Certified in Risk and Information Systems Control (CRISC).

Responsibilities

Serve as the organization's SME for AI, Generative AI, Agentic AI, and emerging automation technologies.
Identify, evaluate, and implement AI solutions that improve cybersecurity, governance, compliance, and operational efficiency.
Design multi-agent systems with reasoning, memory, planning, and tool-use capabilities that break goals into executable steps.
Engineer production-grade agent workflows with monitoring, error recovery, and fallback paths.
Integrate agents with APIs, databases, enterprise systems, and cybersecurity/compliance tools (including A&A and audit processes).
Design and maintain RAG pipelines — ingestion, chunking, embedding, indexing, and reranking — to ground outputs in accurate data and reduce hallucinations.
Design, test, and optimize prompts and structured reasoning frameworks (e.g., Chain of Thought, ReAct) for consistent outputs.
Build and maintain reusable prompt libraries and evaluation processes.
Lead AI proof-of-concepts, pilots, and production deployments, including testing and continuous improvement.
Convert manual or repetitive processes (SOPs, approvals, audits, reporting) into automated, AI-driven workflows.
Build agent memory/context systems to track state across tasks.
Apply AI to reduce cycle time and manual rework, with measurable accuracy and efficiency metrics.