• Lead Cint’s AI Transformation Office and own the strategy, roadmap and operating model for embedding AI into the way Cint works • Focus on measurable business value: better workflows, faster cycle times, improved quality, stronger productivity, clearer governance • Own and maintain Cint’s enterprise AI transformation strategy and roadmap, aligned to business priorities • Manage the enterprise AI transformation portfolio and value framework • Define success measures, track impact and ensure AI initiatives create measurable operating change • Own the executive narrative for enterprise AI transformation and report to key stakeholders

• Lead the enterprise AI transformation agenda • Own and maintain Cint’s enterprise AI transformation strategy and roadmap • Manage the enterprise AI transformation portfolio • Ensure AI transformation work has clear outcomes • Own the executive narrative for enterprise AI transformation

• Support Enterprise Value Creation Initiatives • Help translate high-level strategic priorities into specific, measurable initiatives with clear owners, milestones, KPIs, dependencies, and expected business impact. • Build and maintain initiative trackers, value bridges, KPI dashboards, business cases, and executive reporting materials. • Partner with functional teams across Engineering, Product, GTM, Support, Professional Services, Customer Success, Finance, HR, and Legal to track progress, identify blockers, and support issue resolution. • Support regular operating rhythms, including leadership reviews, SteerCo materials, initiative readouts, and follow-ups from executive discussions. • Conduct analysis to size opportunities, assess benefits, track actual vs. planned impact, and identify areas requiring management attention. • Help Drive QAD’s AI Transformation Agenda • Support the identification, prioritization, and tracking of AI initiatives across functions, including Engineering productivity, Support diagnostics and resolution, Professional Services automation, GTM productivity, Finance / BI enablement, HR, and Legal. • Help structure AI use cases into clear problem statements, workflows, data / system requirements, expected outputs, adoption metrics, and business outcomes. • Define and track AI success metrics, including adoption, usage depth, cycle time reduction, productivity improvement, throughput, quality, backlog reduction, and financial impact. • Partner with business teams, technical teams, and external vendors to move AI initiatives from concept to pilot to scaled deployment. • Support executive-level reporting on AI transition progress, including Board / leadership updates, initiative status, benefits realization, risks, and key decisions needed. • Help establish practical measurement models that link AI usage to operational outcomes, not just activity. • Support Operating Model and SI Transition Work • Support enterprise operating model workstreams, including current-state diagnostics, future-state design, workflow decomposition, role / responsibility mapping, and implementation planning. • Help coordinate across internal teams, third-party advisors, and implementation / systems integration partners to ensure continuity between strategy, design, and execution. • Support the transition from high-level transformation design to detailed L3 / L4 workflow definition, requirements, blueprints, PRDs, and implementation roadmaps. • Track dependencies, risks, decisions, and follow-ups across internal teams and external partners. • Help ensure implementation partners are set up with the right context, documentation, governance, and success metrics to execute effectively in later phases. • Build Executive-Ready Analysis and Materials • Prepare concise, high-quality materials for senior leadership discussions, operating reviews, Board updates, and cross-functional working sessions. • Synthesize inputs from interviews, data, transcripts, functional plans, and project updates into clear insights and recommended actions. • Build Excel / Sheets-based analyses, KPI trees, initiative scorecards, benefit trackers, and simple financial models.

Role Description 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. 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. Qualifications - 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. Requirements - Active Secret Clearance required. - 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. 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. Benefits - Competitive compensation. - 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.