• Responsible for the hands-on implementation, configuration, and ongoing management of security controls across ai2io’s Microsoft 365 and Azure environments. • Implements and maintains security controls across Microsoft Defender, Purview, Entra ID, Intune, and Azure services. • Remediates security gaps identified through risk assessments, vulnerability scans, compliance audits, and stakeholder security reviews. • Supports security operations by tuning alerts, building automation, developing runbooks, and providing Tier 2–3 incident response support. • Collaborates with the Rapid7 MDR team to ensure effective detection coverage, incident escalation, and agent health across all managed environments. • Assists in maintaining compliance with organizational security standards and applicable frameworks (NIST CSF, CIS Benchmarks, SOC 2).

• Design and implement enterprise AI security architecture for locally hosted AI/LLM platforms, ensuring confidentiality, integrity, and availability of sensitive data. • Define and enforce AI guardrails, including prompt filtering, output validation, and protection against prompt injection and data leakage risks. • Develop security blueprints, architecture standards, and design patterns for AI and machine learning platforms across the enterprise. • Perform AI threat modeling and identify vulnerabilities specific to LLMs, including model misuse, poisoning, and adversarial inputs. • Integrate security controls across AI lifecycle, including data ingestion, model training, inference, and output handling. • Establish and monitor security metrics and controls to evaluate effectiveness of AI security architecture and enterprise security posture. • Collaborate with engineering, data science, and infrastructure teams to ensure secure AI solution design and deployment. • Participate in architecture governance, design reviews, and technology selection, ensuring alignment with enterprise security standards. • Evaluate and recommend AI security tools, frameworks, and solutions, including build vs. buy analysis. • Maintain detailed architecture documentation, security standards, and operational procedures. • Provide technical leadership and guidance on emerging AI security threats, trends, and best practices.

Senior Cybersecurity Engineer Start Date: April 27, 2026 Place of Performance: Remote within the DC Metro Area Responsibilities: - Develop, implement and sustain an Authority to Operate (ATO) on the ServiceNow Enterprise Platform within a DOD information system-level enterprise. - Follow DOD standards, policies and procedures, methods, and techniques to maintain the security posture within the environment. - Provide continuing cybersecurity policy guidance and oversight to Services Development capability providers. - Maintains status and monitors progress of the capability provider’s accreditation program and assessment and authorization (A+A) to include but not limited to artifact documentation, and currency of the ATO. - Assists client capability providers with the risk analysis and management by monitoring capabilities for Information Assurance Vulnerability Alert (IAVA), Security Technical Implementation Guide (STIG), and Risk Management Framework (RMF) compliance. Requirements: - DoD SECRET Eligibility - 8 years of experience with bachelor's degree in Cybersecurity or related technical degree - 5 years of experience in DoD and ServiceNow Platform - Experience with stakeholder management, working closely with DoD clients and written/oral presentation Our Company Overview Business Computers Management Consulting Group, LLC (BCMC) is a small business specializing in Information Technology (IT), Cybersecurity, Information Assurance (IA), SOA, Big Data Management, Program Management, and more for Federal, State, and Local agencies. We possess highly skilled engineers, providing innovative solutions backed by strong past performances. We are ISO 9001:2015, ISO 27001:2013, 20000:2018, and CMMI L3 certified and registered promising highest quality and services to all of our clients. Benefits Extremely competitive salary 95% employer paid for employee medical, dental, & vision coverages 100% employer paid for employee life, STD & LTD disability coverages 401k with company match and profit sharing Flexible Spending Account (FSA) for dependent & health care 11 standard holidays & 3 weeks of annual leave

• Design and implement end-to-end AI security architecture for locally hosted AI/LLM platforms • Define and enforce AI guardrails , including prompt injection prevention, input/output filtering, and response validation controls • Develop and maintain enterprise security blueprints, architecture standards, and design patterns for AI/ML platforms • Perform AI threat modeling and identify risks such as model misuse, adversarial inputs, and data leakage • Implement security controls across the AI lifecycle , including data ingestion, model training, inference, and output handling • Establish and monitor security metrics and controls to evaluate effectiveness of AI security architecture • Collaborate with engineering, data science, and infrastructure teams to ensure secure AI platform design and deployment • Participate in architecture governance, design reviews, and technology evaluations , including build vs. buy decisions • Evaluate and recommend AI security tools, frameworks, and solutions aligned to enterprise standards • Maintain architecture documentation, security standards, and operational procedures • Provide leadership on emerging AI security threats, vulnerabilities, and industry trends