Hands-On AI Security Engineer (Hybrid)

New York Life Insurance Co.; New York (NY); Hybrid; USD 112,000 - 159,000; Full time

Job summary

New York Life Insurance Co. is seeking a hands-on AI Security Engineer to evaluate and secure emerging AI technologies through engineering, security testing, and PoC development.

You will collaborate with the AI Security Architect to build security solutions across cloud platforms and third-party services. Ideal candidates bring 5+ years in software/cybersecurity engineering, experience with AI/LLM technologies, and strong Python programming.

Qualifications

• 5+ years of experience in software engineering, cybersecurity engineering, cloud security, application security, AI/ML engineering, or related technical disciplines.
• Hands on experience with one of agent frameworks such as Google ADK, LangChain, LangGraph, or similar technologies.
• 2+ years of hands-on experience with AI/ML, Generative AI, LLM applications, or agentic AI technologies.
• Strong programming and prototyping skills, preferably using Python.
• Hands-on experience building or integrating LLM applications, RAG solutions, AI agents, tool-calling workflows, or MCP-based applications.
• Practical experience with at least one major cloud platform: AWS, Azure, or GCP.
• Strong understanding of OAuth 2.0, OIDC, JWTs, workload and service identities, API authorization, and short-lived credential models.
• Experience with modern engineering technologies such as REST APIs, Git, containers, Kubernetes, CI/CD, Infrastructure-as-Code, cloud SDKs, and CLIs.
• Strong understanding of application security concepts including API security, identity and access control, data protection, threat modeling, least privilege, secrets management, and secure SDLC.
• Ability to independently research emerging technologies, build prototypes, troubleshoot complex technical issues, and clearly communicate findings and recommendations.

Responsibilities

• Partner with the AI Security Architect to build, test, and evaluate AI security solutions across cloud and third-party platforms.
• Translate emerging security challenges into working prototypes, validate security capabilities and vendor claims, identify technical risks, and develop reusable security patterns for engineering teams.
• Focus on agentic AI security, including agent identity, authentication and authorization, workload identity, Model Context Protocol security, policy enforcement, tool access, and secure agent-to-agent communication.

Skills

Python

REST APIs

Cloud platforms

OAuth/OIDC/JWT

Kubernetes

CI/CD

Security testing

AI/ML engineering

LLM applications

Agent frameworks

Tools

Google ADK

LangChain

LangGraph

Terraform

Git

Job description

New York Life Insurance Co. is seeking a hands-on AI Security Engineer to evaluate and secure emerging AI technologies through engineering, security testing, and PoC development.

You will collaborate with the AI Security Architect to build security solutions across cloud platforms and third-party services. Ideal candidates bring 5+ years in software/cybersecurity engineering, experience with AI/LLM technologies, and strong Python programming.