AI Enablement and Security Analyst

@ GE HealthCare

Overview

The AI Enablement and Security Analyst at GE HealthCare plays a pivotal role in designing, building, and operationalizing AI solutions to improve business processes and ensure secure AI adoption.

Roles and Responsibilities

• Build AI Agents: Design, build, or collaborate in building AI agents using tools such as AWS Bedrock, OpenAI, Azure OpenAI Service, and Microsoft AI solutions.
• Operationalize AI Monitoring: Deploy and configure AI observability/monitoring platforms (e.g., LangSmith, Langfuse) to support solution builders and ensure system reliability.
• User Support: Provide hands-on support to internal users, troubleshoot concerns, and advise on GE HealthCare processes and AI best practices.
• Platform Evaluation: Assess new or updated AI platforms regarding security, privacy, and compliance while recommending control measures.
• Process Guidance: Guide AI solution requestors and builders through GE HealthCare’s AI approval, governance, and deployment processes.
• Technology Enablement: Evaluate emerging AI technologies to ensure safe, secure, and effective adoption across the organization.

Basic Qualifications

Bachelor’s Degree in Computer Science, Engineering, or a STEM-related discipline (or equivalent experience) with 5+ years in Cloud, AI, or Security. Proven ability to support technical users and guide projects from concept to deployment.

Desired Skills

• Quick learner adaptable to changing technology
• Hands-on experience with cloud-based platforms (AWS, Azure, etc.) and AI technologies
• Understanding of security, privacy, and compliance in AI/ML deployments
• Strong communication skills and cross-functional teamwork abilities
• Willingness to travel up to 10% as needed

Key skills/competency

• AI Agents
• Cloud Platforms
• Security
• Monitoring
• Compliance
• Technical Support
• Governance
• Process Improvement
• Platform Evaluation
• Communication