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About the Role

As an AI Application Security Engineer, you will ensure AI systems are built and operated securely by embedding application security controls, guardrails, and secure-by-default practices throughout the AI development lifecycle. You will work hands-on to secure AI applications, agentic systems, and supporting AI platform services across development and production environments, leveraging Google Cloud Vertex AI.

Responsibilities

Design and implement application security controls for AI applications, agentic systems, and tool-invoking workflows, ensuring secure-by-default patterns are embedded throughout the software development lifecycle.
Build and operationalize security guardrails that protect against emerging AI threats, including prompt injection, indirect prompt injection, unsafe tool invocation, data exfiltration, model abuse, and other evolving attack techniques.
Integrate AI security controls into existing application security, CI/CD, SSDLC, and infrastructure-as-code processes while helping secure AI platform workflows across data ingestion, model training, deployment, serving, and runtime execution with a primary focus on Google Cloud Vertex AI.
Partner with MLOps platform teams, AI engineers, data scientists, cloud engineering, and Model Risk Management to review identity architectures, automate security controls, remediate findings, and establish reusable security standards across enterprise AI initiatives.
Develop Python-based automation, security tooling, detection capabilities, and technical guidance that improve the organization's ability to securely deploy, monitor, and scale AI solutions in production.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related discipline (or equivalent practical experience) with 5+ years of experience in application security, cloud security, security engineering, or a closely related field.
Hands-on experience securing production AI platforms, with experience in Google Cloud Vertex AI preferred; comparable experience with Amazon SageMaker or Azure Machine Learning will also be considered.
Strong understanding of AI application and model lifecycles, including data ingestion, training, model registry, deployment, online and offline serving, and secure environment separation across development, training, staging, and production.
Experience implementing security controls within CI/CD pipelines and infrastructure-as-code environments, along with knowledge of cloud IAM, least-privilege principles, service accounts, workload identity, and non-human identity management.
Knowledge of modern application security practices including authentication and authorization, secure API design, software supply chain security (SLSA, SBOMs, signed artifacts), secrets management, and AI-specific threat models.
Proficiency in Python for automation, security tooling, and detection engineering, with the ability to independently implement, troubleshoot, and evolve security solutions in partnership with cross-functional teams.
Proctored technical exam (including code writing, where appropriate) will be required before any offer can be extended.
In person interview will be required in NY Home Office before any offer can be extended.

Skills

Python
Google Cloud Vertex AI
Amazon SageMaker
Azure Machine Learning
CI/CD pipelines
Infrastructure-as-code
Cloud IAM
Least-privilege principles
Service accounts
Workload identity
Non-human identity management
Authentication and authorization
Secure API design
Software supply chain security (SLSA, SBOMs, signed artifacts)
Secrets management
AI-specific threat models
Agentic AI systems
Orchestration frameworks (LangChain, LangGraph, Vertex AI Agent Builder, ADK, CrewAI)
MITRE ATLAS
OWASP Top 10 for LLM Applications
NIST AI RMF
Google Secure AI Framework (SAIF)
Policy-as-code technologies
AI detection engineering
AI security and guardrail solutions (OPA/Rego, Cloud Custodian, Sentinel, Lakera, Protect AI, NeMo Guardrails, Llama Guard, Vertex AI Safety Filters)

Location

NY Home Office

Work Type

Hybrid - 3 days per quarter

Experience Level

5+ years of experience in application security, cloud security, security engineering, or a closely related field.

Education Level

Bachelor's degree in Computer Science, Engineering, or a related discipline (or equivalent practical experience)

Salary/Compensations

Salary Range: $124,000-$177,000

Benefits

Leave programs
Adoption assistance
Student loan repayment programs

About the Company

At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation.
Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter.
Your ideas drive what’s next, and your growth powers it.

Equal Opportunity

At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation.
We're proud that due to our mutuality, we operate in the best interests of our policy owners.