Agentic AI Subject Matter Expert

Title: Agentic AI SME (REMOTE)

Location: VA-Chantilly

Koniag IT Systems, LLC, a Koniag Government Services company, is seeking an Agentic AI SME with a Secret Security clearance to support KITS and our government customer. The position is remote.

We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.

Koniag IT Systems, LLC, a Koniag Government Services company, is seeking a highly skilled and innovative ICAM Agentic AI Subject Matter Expert (SME) to join a team supporting Identity, Credential, and Access Management (ICAM) solutions for our government customers. The ideal candidate is a forward-thinking technology leader with deep expertise in both ICAM platforms and emerging agentic artificial intelligence technologies, passionate about applying cutting-edge AI capabilities to modernize and automate identity and access management programs in a federal environment. This individual will serve as a primary technical authority on the intersection of agentic AI and ICAM, driving innovation and delivering intelligent, autonomous solutions that enhance security, efficiency, and mission outcomes.

The ICAM Agentic AI SME will serve as the primary technical expert on the application of agentic artificial intelligence technologies within ICAM programs, leveraging platforms such as SailPoint and Okta to design, develop, and implement intelligent, autonomous identity and access management solutions in a federal government environment. This individual will work closely with program managers, engineers, security teams, data scientists, and government stakeholders to identify opportunities for AI-driven automation, develop agentic AI use cases, and guide the responsible integration of AI capabilities into ICAM workflows and architectures.

 Principal responsibilities will include but are not limited to:

• Serve as the primary subject matter expert on agentic AI technologies and their application within ICAM programs, providing technical guidance, recommendations, and thought leadership to program teams and government stakeholders.
• Identify, evaluate, and prioritize opportunities to apply agentic AI capabilities to automate and enhance ICAM processes, including identity lifecycle management, access certifications, anomaly detection, entitlement management, and privileged access governance.
• Design and develop agentic AI solutions that integrate with SailPoint and Okta platforms to enable autonomous decision-making, intelligent workflow orchestration, and adaptive access control.
• Lead the development of agentic AI use cases, proofs of concept (PoCs), and pilot implementations, translating complex technical concepts into actionable solutions aligned with mission requirements.
• Collaborate with ICAM engineers and administrators to integrate AI-driven automation into existing SailPoint and Okta environments, leveraging APIs, connectors, and workflow engines.
• Develop and implement AI-powered anomaly detection and behavioral analytics capabilities to identify suspicious access patterns, insider threats, and potential identity-related security incidents.
• Guide the responsible and ethical use of AI within ICAM programs, ensuring that agentic AI solutions align with federal AI policies, privacy requirements, and security standards.
• Support the development of AI governance frameworks and policies specific to ICAM, including guidelines for human-in-the-loop oversight, auditability, and explainability of AI-driven access decisions.
• Provide technical expertise in the evaluation and selection of agentic AI tools, frameworks, and platforms suitable for integration with federal ICAM architectures.
• Stay current with emerging trends and advancements in agentic AI, large language models (LLMs), machine learning, and their applications within identity and access management.
• Develop and deliver technical briefings, white papers, and presentations to government stakeholders and senior leadership on ICAM agentic AI capabilities, roadmaps, and outcomes.
• Collaborate with data engineers and data scientists to develop and maintain the data pipelines, models, and training datasets required to support AI-driven ICAM capabilities.
• Contribute to the development of technical documentation, architecture diagrams, and standard operating procedures (SOPs) related to agentic AI integrations within ICAM environments.
• Support ATO processes by assessing AI-related risks and contributing to security documentation, including System Security Plans (SSPs) and Risk Assessment Reports (RARs).
• Mentor and provide technical guidance to ICAM engineers and administrators on AI concepts, tools, and best practices.

Education and Experience:
Required:

• Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Cybersecurity, or a related field from an accredited college or university; equivalent work experience may be considered in lieu of a degree.
• 5+ years of experience in identity and access management, with hands-on expertise in SailPoint and/or Okta platforms.
• 3+ years of experience working with artificial intelligence, machine learning, or automation technologies, with demonstrated experience applying AI capabilities to enterprise IT or cybersecurity use cases.
• Experience working in a federal government IT environment.

Clearance Requirement:

• Active Secret Clearance required.

Required Skills and Competencies:

• Exceptional communication skills in English – both written and oral – with the ability to translate complex AI and ICAM concepts for both technical and non-technical audiences, including senior government leadership.
• Deep hands-on expertise with SailPoint IdentityIQ (IIQ) or SailPoint Identity Security Cloud (ISC), including identity lifecycle management, access certifications, role management, and provisioning workflows.
• Strong hands-on experience with the Okta platform, including SSO, MFA, Universal Directory, Lifecycle Management, Okta Workflows, and API Access Management.
• Demonstrated knowledge of agentic AI concepts, frameworks, and technologies, including autonomous agents, multi-agent systems, large language models (LLMs), and AI orchestration platforms.
• Experience designing and implementing AI-driven automation solutions, including the use of AI agents to perform autonomous task execution, decision-making, and workflow orchestration within enterprise environments.
• Strong understanding of machine learning concepts and the ability to apply them to ICAM use cases such as anomaly detection, behavioral analytics, and intelligent access recommendations.
• Familiarity with AI frameworks and tools such as LangChain, AutoGen, OpenAI API, or similar agentic AI platforms.
• Experience integrating AI capabilities with enterprise platforms via REST APIs, SCIM, and webhooks.
• Strong understanding of ICAM frameworks and federal identity management standards, including FICAM, NIST SP 800-63, and Zero Trust Architecture principles.
• Knowledge of federal AI policies and responsible AI frameworks, including OMB guidance on AI governance and NIST AI Risk Management Framework (AI RMF).
• Ability to assess and articulate AI-related risks within ICAM environments and recommend appropriate mitigations.
• Experience developing technical documentation, architecture diagrams, white papers, and briefings for diverse audiences.
• Demonstrated ability to lead technical initiatives and provide subject matter expertise in a team-oriented, fast-paced environment.
• Active Secret Clearance.

Desired Skills and Competencies:

• Experience working on large-scale federal ICAM modernization programs or Zero Trust implementation initiatives.
• Relevant SailPoint certifications (e.g., SailPoint Certified IdentityIQ Engineer, SailPoint Identity Security Cloud Engineer).
• Relevant Okta certifications (e.g., Okta Certified Administrator, Okta Certified Consultant, Okta Certified Developer).
• Experience with AI/ML platforms such as AWS SageMaker, Azure AI, or Google Vertex AI and their integration with identity management solutions.
• Familiarity with Privileged Access Management (PAM) platforms such as CyberArk or BeyondTrust and opportunities for AI-driven automation within PAM workflows.
• Experience with natural language processing (NLP) and conversational AI interfaces applied to ICAM self-service and helpdesk automation use cases.
• Knowledge of graph-based identity analytics and the use of knowledge graphs for entitlement visualization and risk scoring.
• Understanding of PIV/CAC authentication and its role within federal ICAM architectures.
• Experience supporting ATO processes and contributing to security documentation such as SSPs, RARs, and POA&Ms.
• Familiarity with DevSecOps practices and CI/CD pipeline integrations involving AI and identity services.
• CISSP, CISM, or other relevant cybersecurity certifications.
• Experience with Python, PowerShell, or other scripting languages for AI model integration and ICAM automation tasks.
• Familiarity with explainable AI (XAI) concepts and their application to auditable, transparent access control decision-making in federal environments.