AI Security SpecialistSME

Koniag Data Solutions LLC a Koniag Government Services company is seeking an AI Security Specialist/SME to support KDS and our government customer in Washington DC. This position requires the candidate to be able to obtain a Public 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 Data Solutions a Koniag Government Services company is seeking an experienced AI Security Specialist / Subject Matter Expert (SME) to support the development implementation and management of artificial intelligence security programs policies and risk management initiatives in support of the U.S. Small Business Administration (SBA). The ideal candidate is a senior-level cybersecurity and AI professional with deep expertise in AI/ML security principles AI risk management frameworks and the unique security challenges and considerations associated with the adoption development and operation of AI systems within a federal government environment. This individual will serve as SBAs subject matter expert on AI security matters providing expert guidance and technical leadership to ensure AI systems and initiatives across the SBA are developed deployed and operated securely responsibly and in compliance with applicable federal AI policies executive orders and emerging regulatory AI Security Specialist / SME will serve as the senior technical lead and subject matter expert for AI security at the SBA working closely with SBAs IT leadership security teams data science and AI development teams program managers legal counsel and external partners to develop and implement a comprehensive AI security program that enables SBA to adopt and leverage AI technologies securely responsibly and in alignment with federal AI governance requirements. Principal responsibilities will include but are not limited to:Serve as SBAs senior SME and technical lead for AI security providing expert guidance strategic direction and technical leadership on all matters related to the security of AI systems machine learning models and AI-enabled applications across the SBA implement and maintain SBAs AI security program including the development of AI security policies standards guidelines and risk management frameworks aligned with applicable federal AI executive orders OMB AI guidance NIST AI Risk Management Framework (AI RMF) and other relevant federal AI governance the conduct of AI security risk assessments and reviews for SBA AI systems and initiatives evaluating AI-specific security risks including adversarial attacks model poisoning data integrity threats model inversion and other AI/ML-specific threat vectors and developing comprehensive risk mitigation expert security guidance and oversight throughout the AI system lifecycle from requirements and design through development testing deployment and operations ensuring AI security requirements are properly integrated at each and maintain AI security assessment methodologies testing frameworks and evaluation criteria for assessing the security and trustworthiness of AI systems and machine learning models deployed within the SBA with SBAs data science AI development and application teams to integrate AI security best practices secure development guidelines and security testing requirements into AI development workflows and the development and implementation of AI governance documentation for SBA including AI use case inventories AI impact assessments AI system security plans and other required AI governance artifacts in alignment with federal AI transparency and accountability and analyze the AI threat landscape including emerging adversarial AI attack techniques AI vulnerability disclosures and evolving federal AI security guidance providing timely threat assessments and recommendations to SBA security expert guidance on the security implications of generative AI technologies and large language models (LLMs) including the development of SBA policies and guidelines for the secure and responsible use of generative AI tools by SBA personnel and with SBAs privacy team to address the intersection of AI security and privacy including AI-related privacy risks data minimization requirements and the privacy implications of AI model training deployment and outputSupport the integration of AI security considerations into SBAs existing cybersecurity frameworks risk management processes and security authorization activities including the development of AI-specific security control overlays and assessment as SBAs representative and technical SME in engagements with OMB CISA NIST and other federal partners on AI security-related matters including participation in interagency AI security working groups and and deliver comprehensive AI security awareness and training programs for SBA personnel and contractors ensuring all staff understand the security risks responsibilities and requirements associated with the use and development of AI and support after-action reviews and lessons learned following AI security incidents or near-misses translating findings into actionable improvements to SBAs AI security program and practicesDevelop and deliver AI security briefings program reports and strategic recommendations for SBA senior leadership and oversight bodies providing clear and compelling insights into AI security risks program status and compliance at the forefront of AI security research technology developments federal policy updates and industry best practices applying this knowledge to continuously refine and strengthen SBAs AI security and Experience:Required:Bachelors degree in Cybersecurity Computer Science Artificial Intelligence Data Science Information Technology or a related field from an accredited college or university OR equivalent combination of education and extensive relevant work experience.7 years of progressive experience in cybersecurity with significant demonstrated experience in AI/ML security data science security or a closely related field within a federal government or large enterprise expert-level knowledge of AI/ML security principles adversarial machine learning concepts and AI-specific threat vectors including model poisoning adversarial attacks model inversion and data integrity threatsDemonstrated familiarity with federal AI governance frameworks and requirements including NIST AI Risk Management Framework (AI RMF) Executive Order 13960 Executive Order 14110 and applicable OMB AI memoranda and or more of the following certifications: Certified Information Systems Security Professional (CISSP) Certified Information Security Manager (CISM) or equivalent senior-level cybersecurity certification supplemented by demonstrated AI/ML security :Masters degree or Ph.D. in Cybersecurity Computer Science Artificial Intelligence Data Science or a related experience serving as an AI security SME or advisor supporting a federal civilian agency preferably the SBA or a similar Artificial Intelligence Security Specialist (CAISS) or equivalent AI security certification or active pursuit of experience with AI red teaming adversarial robustness testing or AI penetration testing Skills and Competencies:Expert-level knowledge of AI and machine learning concepts architectures and development methodologies with the ability to apply this knowledge to identify assess and mitigate security risks across a broad range of AI system types and use expertise in AI/ML security principles and adversarial machine learning including comprehensive understanding of AI-specific threat vectors such as adversarial examples model poisoning backdoor attacks model inversion membership inference and data poisoning ability to develop and implement comprehensive AI security risk assessment methodologies testing frameworks and evaluation criteria for assessing the security and trustworthiness of federal AI -level knowledge of federal AI governance frameworks and requirements including NIST AI RMF applicable executive orders and OMB AI guidance with the ability to translate these requirements into practical AI security program activities and experience collaborating with data science and AI development teams to integrate security best practices and requirements into AI development workflows MLOps pipelines and AI system understanding of the security implications of generative AI technologies and large language models (LLMs) including prompt injection attacks data leakage risks model abuse scenarios and strategies for the secure and responsible deployment of generative AI developing AI governance documentation including AI use case inventories AI impact assessments and AI system security documentation in alignment with federal AI transparency and accountability understanding of the intersection of AI security with privacy data governance and ethics including the ability to address AI-related privacy risks and data protection requirements within an AI security program understanding of federal cybersecurity frameworks and requirements including NIST SP 800-53 FISMA and relevant OMB and CISA guidance and their relationship to AI security program development and written and oral communication skills in English with the ability to clearly communicate complex AI security concepts risk assessments and strategic recommendations to both technical teams and senior non-technical audiences including agency leadership skills with demonstrated experience providing expert technical guidance and oversight on AI security matters to cross-functional teams including security IT data science legal and program management to obtain and maintain a Public Trust clearance as required by the Skills and Competencies:Prior experience serving as an AI security SME or advisor supporting the SBA or a similar federal civilian -depth familiarity with SBAs AI initiatives IT environment and mission areas including an understanding of the unique AI security challenges and opportunities associated with SBAs specific use cases and operational contextDemonstrated experience with AI red teaming adversarial robustness testing or AI penetration testing methodologies including hands-on experience using adversarial machine learning tools and frameworks such as IBM Adversarial Robustness Toolbox (ART) Microsoft Counterfit or knowledge of MLOps practices and platforms and their security implications including experience integrating AI security controls and testing into ML pipelines and model deployment with AI supply chain security considerations including the security risks associated with pre-trained models open-source AI libraries and third-party AI services and with AI fairness explainability and transparency concepts and their relationship to AI security and trustworthiness in a federal government with cloud-based AI/ML platforms and services such as AWS SageMaker Microsoft Azure Machine Learning or Google Vertex AI and their security configurations access controls and monitoring of natural language processing (NLP) and computer vision AI application security considerations and specific threat vectors relevant to these AI participating in federal interagency AI security working groups NIST AI RMF development activities or OMB AI governance oversight Artificial Intelligence Security Specialist (CAISS) AI Security certification from a recognized professional organization or other relevant advanced AI or cybersecurity certificationsExperience developing and delivering AI security training programs for large diverse federal agency workforces including both technical and non-technical with international AI governance frameworks and standards such as the EU AI Act ISO/IEC 42001 and their relationship to federal AI security and governance Equal Employment Opportunity PolicyThe company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race color religion creed ethnicity sex sexual orientation gender or gender identity (except where gender is a bona fide occupational qualification) national origin or ancestry age disability citizenship military/veteran status marital status genetic information or any other characteristic protected by applicable federal state or local law. We are committed to equal employment opportunity in all decisions related to employment promotion wages benefits and all other privileges terms and conditions of company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website please get in touch with Heaven Wood via e-mail by calling to request Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical professional and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers employees and native communities. For more information please Opportunity Employer/Veterans/ Preference in accordance with Public Law 88-352