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Lead, Responsible AI, Security, and Model Risk (Remote)CareFirst, Inc.Baltimore, Maryland, United States

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Lead, Responsible AI, Security, and Model Risk (Remote)

CareFirst, Inc.
  • US
    Baltimore, Maryland, United States
  • US
    Baltimore, Maryland, United States

À propos

Resp & Qualifications Purpose: Drives enterprise trust and risk management for AI by owning the organization's end-to-end AI risk posture, inclusive of Responsible AI, model risk management, AI security, privacy, and compliance. Establishes and operationalizes governance frameworks, guardrails, and approval pathways that enable rapid delivery of AI solutions while meeting regulatory, security, and audit expectations. Ensures AI systems are safe, compliant, auditable, and secure across the full model lifecycle from ideation through production monitoring.
This role owns the risk decisions and guardrails that determine what AI systems may operate in production and under what conditions.
Essential Functions Enterprise AI Risk & Governance Ownership
Own the enterprise AI risk management framework covering model risk, Responsible AI, AI security, privacy, and compliance.
Define, implement, and enforce AI policies, standards, operating procedures, and control requirements across the AI lifecycle.
Establish clear decision rights and approval paths that support rapid delivery while maintaining strong controls.
Act as the final risk authority for AI systems entering or operating in production, including documentation and sign‑off expectations.
Model Risk Management & Lifecycle Oversight
Lead model risk assessments, validation, approvals, and documentation for AI/ML/GenAI systems.
Define standards for transparency, explainability, performance monitoring, evaluation, and retraining triggers.
Partner with audit and enterprise risk teams to support internal/external reviews and ensure continuous audit readiness.
Oversee AI incident management from triage root‑cause remediation reporting, including control failures and model performance issues.
AI Security & Threat Posture
Own AI security risk posture, including risks unique to LLMs and generative AI (e.g., prompt injection, data leakage, misuse).
Partner with cybersecurity teams to implement AI‑specific threat modeling, security requirements, monitoring, and detection controls.
Define requirements for model access controls, data usage, logging, and release governance aligned to enterprise security policy.
Ensure AI systems meet enterprise security expectations without duplicating platform/infrastructure ownership.
Regulatory, Privacy & Compliance Partnership
Serve as the primary AI liaison to Legal, Privacy, Compliance, ERM, and Security teams.
Interpret and operationalize regulatory requirements (e.g., HIPAA, state/federal AI guidance, emerging AI regulations).
Ensure AI systems adhere to data protection, consent, and responsible data usage requirements.
Translate regulatory expectations into practical guardrails delivery and engineering teams can implement.
Responsible AI & Ethical Deployment
Lead responsible AI practices related to fairness, bias detection/mitigation, explainability, and human‑in‑the‑loop controls.
Define when/how human oversight is required in AI‑supported decisions, including escalation and override requirements.
Embed Responsible AI requirements into design and release processes, rather than post‑hoc reviews.
Cross‑Functional Enablement (Risk, Not Training)
Educate delivery and engineering teams on approval criteria, risk expectations, control requirements, and compliance needs.
Provide clear, actionable guidance so teams understand how to get to yes quickly and safely.
Build dashboards and executive reporting that provide visibility into risk exposure, approvals status, incidents, and control health.
Planning, Roadmap Input, and Continuous Improvement
Provide risk input to enterprise AI roadmaps and investment planning.
Identify governance automation opportunities (templates, tooling, standard evidence packages) to reduce friction.
Continuously improve policies, standards, and controls based on incidents, audits, and evolving threat/regulatory landscapes.
Qualifications Education Level: Bachelor's Degree in Computer Science, Information Technology, or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
Licenses/Certifications Upon Hire Preferred:
IAAP - AIGP (Artificial Intelligence Governance Professional)
Experience: 10 years Experience in Architecture Domain.
Preferred Qualifications
Advanced degree
Knowledge, Skills and Abilities (KSAs)
Ability to motivate and influence others so that project objectives are met in a timely manner.
Ability to collaborate with stakeholders to develop high quality solutions.
Ability to coach, delegate, and develop architects and engineers.
Ability to managing cross‑domain architecture solutions and issues.
Expertise with domain related architecture frameworks, methods and tools.
Effective organizational, interpersonal/relationship management, analytical, communications (written and verbal) and collaboration.
Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.
Physical Demands The associate is primarily seated while performing the duties of the position. Occasional walking or standing is required. The hands are regularly used to write, type, key and handle or feel small controls and objects. The associate must frequently talk and hear. Weights up to 25 pounds are occasionally lifted.
Federal Disqualification and Physical Demand Note: The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes him/her ineligible to perform work directly or indirectly on Federal health care programs.
Equal Employment Opportunity CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
Sponsorship in U.S. Must be eligible to work in the U.S. without Sponsorship.
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  • Baltimore, Maryland, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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