Job Description Summary

Job Description

Responsibilities

• Ensure compliance of AI solutions platforms and model deployments with internal and external security requirements

• Guide application platform and product owners on AI security architecture configuration and governance requirements

• Assess and follow up on non-conformances related to AI models agents model APIs prompt workflows vector databases inference endpoints and orchestration layers

• Investigate and further assess potential AI security risks including prompt injection data leakage insecure tool use model misuse identity and access weaknesses and supply chain risks

• Support security reviews of AI systems including foundation models locally hosted models retrieval-augmented generation (RAG) solutions agentic workflows and model-serving infrastructure

• Lead and/or aid security assessments and access reviews for AI platforms model environments and related cloud or on-premise services

• Identify non-conforming AI deployments integrations and usage patterns across business and technical environments

• Support governance of AI security tooling controls and monitoring processes

• Ensure feasibility of AI security requirements set for engineering and product teams

• Work in a global role with multiple stakeholders from different domains and different regions

• Provide regular program updates to the CISO CIOs and other stakeholders

• Establish and maintain relationships with stakeholders including CIOs and global IT IT security engineering legal privacy and compliance leaders

• Ensure proper alignment of AI security requirements to GE HealthCares IT Security Framework and enterprise AI governance standards

• Maintain exception processes for AI platforms model usage and supporting infrastructure

• Support communication and awareness efforts related to secure AI adoption

• Draft communications and training materials

• Write guidance documents standards and secure implementation patterns for AI solutions

• Review AI integration patterns involving MCP A2A protocols tool-calling frameworks and agent communication mechanisms to ensure secure design and operation

• Support risk assessments for third-party AI services open-source models and locally hosted AI model deployments

• Partner with engineering teams to promote secure AI development lifecycle practices including threat modeling validation testing monitoring and incident response preparedness

Qualifications

• Bachelors Degree in Computer Science or STEM Majors (Science Technology Engineering and Math) with 4 experience. .

Desirable skills

• Experience in cybersecurity security governance security architecture or AI/ML security

• Knowledge of AI systems LLMs agentic workflows model deployment patterns and AI-related security risks

• Understanding of MCP A2A protocols API security identity and access management and secure system integration concepts

• Experience assessing risks in AI pipelines including prompts tools plugins model endpoints data flows and orchestration frameworks

• Knowledge of cloud and hybrid environments including AWS and/or Azure services is an advantage

• Experience with locally hosted or self-managed AI models model serving infrastructure GPU-based environments and on-premise AI deployments is a plus

• Familiarity with governance privacy and compliance considerations related to AI usage and data handling

• Ability to write clear guidance documents standards and training materials for technical and non-technical stakeholders

• Ability to work across global teams and influence multiple stakeholders

• Ability to travel 10% of the time as needed

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus and drive ownership always with unyielding integrity.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything youd expect from an organization with global strength and scale and youll be surrounded by career opportunities in a culture that fosters care collaboration and support.

#LI-BR3

#LI-Hybrid/Remote

Additional Information

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19 some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.