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# Senior Associate - AI Security Engineer

- **Company:** New York, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $90,000.0 - $128,500.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Cloud Computing Security, Computer Programming, Continuous Integration, Cursor, Python (Programming Language), Key Management, Machine Learning, OAuth, OpenID, Open Web Application Security, Systems Development Life Cycle, Software Engineering, Systems Integration, GitHub Copilot, Retrieval-Augmented Generation, Large Language Models, Claude Code, Multi-Agent Systems, Software Security, Data Poisoning, Software Troubleshooting, Generative AI, Agentic-AI, Git, Kubernetes, Restful APIs, Model Context Protocol, Terraform
- **Published:** November 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-associate-ai-security-engineer-new-york-ny--cefc5f68-0c81-47aa-ae1a-d8f5c988db13

## About the Role

Artificial Intelligence (AI), Artificial Intelligence (AI), Financial Services, Leading Edge Technology, Testing, Proof of Concept, Emerging Technology, Security Analysis, Prototyping, Cloud Computing, * 5+ years of experience in software engineering, cybersecurity engineering, cloud security, application security, AI/ML engineering, or related technical disciplines, with demonstrated experience applying security principles to modern applications.

 * 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., * Hands-on experience with MCP, agent frameworks, multi-agent architectures, or agentic AI security.
 * Experience with AI security testing, including prompt injection, jailbreaks, data poisoning, insecure tool use, and excessive agency.
 * Familiarity with one of the OWASP AI security guidance, MITRE ATLAS, and NIST AI RMF.
 * Experience evaluating security products or conducting technical vendor PoCs.
 * Experience with Terraform or other Infrastructure-as-Code technologies.
 * Handon experience with one of AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, or similar tools.
 * Experience within financial services or another regulated industry.

## Description

New York Life is seeking a hands-on AI Security Engineer to evaluate and secure emerging AI technologies through practical engineering, security testing, and proof-of-concept (PoC) development.

What Youll Do

This role will partner closely with the AI Security Architect to build, test, and evaluate AI security solutions across cloud and third-party platforms. The engineer will translate emerging security challenges into working prototypes, validate security capabilities and vendor claims, identify technical risks, and develop reusable security patterns for engineering teams.

A key focus of the role is agentic AI security, including agent identity, authentication and authorization, workload identity, Model Context Protocol (MCP) security, policy enforcement, tool access, and secure agent-to-agent communication.

This is a technical builder role requiring hands-on experience with software development, AI applications and agents, APIs, cloud platforms, identity and authorization flows, security testing, and technical documentation.