AI Security Engineer - Insight Global

Skills

Risk Management Cloud Architecture GCP

Job Specifications

Location: Remote

Compensation:

$52-60/hr.

Required Skills & Experience

- 4-6+ years in security

- 1+ year of Vertex AI in enterprise company

- experience advising around AI Security

- background in Google Kubernetes Engine (GKE), NotebookLM, etc

- Security understanding in GCP

Nice to Have Skills & Experience

- Certifications: Google Cloud Professional Data Engineer, Google Cloud Professional Cloud Architect, or similar certifications.

Job Description

A large healthcare company is seeking an experienced AI Security Advisor/Consultant to join its enterprise security team. This role is to advise application teams on their development of their bots to ensure security parameters are met, so rather an advisory/governance role. The role will largely focus on GCP Vertex AI and then eventually encompass Azure OpenAI.

The client is using GenAI for many reasons but one use case is that they still get majority of prescriptions via paper and they are leveraging these GenAI tools to read the papers and generate the correct forms needed for digital downstream systems. This consultant will be meeting with the various application development teams across the enterprise and ensure that their Vertex AI bots are properly secure according to best practices and standards. This role will not be developing the AI bots themselves but rather advising from a security perspective. The consultant should have a strong background in GCP and its related infrastructure, GKE, Workbook Cloud and Notebook LM.

This role is critical in shaping the architecture and security governance of our AI initiatives. They will also be presenting findings to security leadership and must be able to ensure best practices are being followed.

Key Responsibilities:

Vertex AI Expertise: Provide expert guidance on Vertex AI, including model training, deployment, and optimization.

Infrastructure Management: Oversee the design and implementation of GCP infrastructure to support AI applications.

Security Governance: Ensure all AI applications comply with security best practices and regulatory requirements.

Collaboration: Work closely with application teams to understand their needs and provide solutions that align with business objectives.

Architecture Design: Develop and maintain the architecture for AI solutions, ensuring scalability, reliability, and performance.

Risk Management: Identify potential security risks and implement measures to mitigate them.

Documentation: Create and maintain comprehensive documentation for AI architecture and security protocols.

Training and Support: Provide training and support to application teams on Vertex AI and GCP best practices.

About the Company

Insight Global is an international professional services and staffing company specializing in delivering talent and technical solutions to Fortune 1000 companies across the IT, Non-IT, Healthcare, and Engineering industries. Fueled by staffing and talent experts, Evergreen, our professional services brand, brings technical advisors and culture consultants to help customers tackle their biggest challenges. With over 70 locations across North America, Europe, and Asia, and global staffing capabilities in 50+ countries, our tea... Know more