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Senior Associate - AI Security Engineer

New York Life New York, NY

New York, NY

Today

$112k - $159k/yr Full time Backend Developer Ai Enabled Security Ai Security

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Job Description

New York Life seeks a hands-on AI Security Engineer to assess emerging AI technologies and turn security problems into working prototypes across cloud and third-party platforms.

Responsibilities

Partner with the AI Security Architect to build, test, and evaluate AI security solutions across cloud and third-party platforms
Translate emerging AI security challenges into working prototypes
Validate security capabilities and vendor claims
Identify and document technical risks
Develop reusable security patterns that engineering teams can apply
Focus on agentic AI security, including:
- Agent identity
- Authentication and authorization
- Workload identity
- Model Context Protocol (MCP) security
- Policy enforcement
- Tool access
- Secure agent-to-agent communication
Provide hands-on experience across software development, AI applications and agents, APIs, cloud platforms, identity and authorization flows, security testing, and technical documentation

Requirements

5+ years of experience in software engineering, cybersecurity engineering, cloud security, application security, AI/ML engineering, or related technical disciplines, with demonstrated security application to modern applications
Hands-on experience with at least one agent framework such as Google ADK, LangChain, LangGraph, or similar
2+ years hands-on experience with AI/ML, Generative AI, LLM applications, or agentic AI technologies
Strong programming and prototyping skills, preferably in Python
Hands-on experience building or integrating:
- LLM applications
- RAG solutions
- AI agents
- Tool-calling workflows
- 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 including REST APIs, Git, containers, Kubernetes, CI/CD, Infrastructure-as-Code, cloud SDKs, and CLIs
Strong understanding of application security concepts: 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

Technologies

Google ADK
LangChain
LangGraph
Python
LLM
RAG
MCP
OAuth 2.0
OIDC
JWTs
REST APIs
Git
containers
Kubernetes
CI/CD
Infrastructure-as-Code
cloud SDKs
CLIs
AWS
Azure
GCP
Terraform
OWASP AI security guidance
MITRE ATLAS
NIST AI RMF
GitHub Copilot
Claude Code
Cursor

Preferred Qualifications

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: OWASP AI security guidance, MITRE ATLAS, NIST AI RMF
Experience evaluating security products or conducting technical vendor PoCs
Experience with Terraform or other Infrastructure-as-Code technologies
Hands-on experience with AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, or similar tools
Experience within financial services or another regulated industry

Location and Work Model

Location: New York, NY, United States (hybrid)
Role location designation: Hybrid - 3 days per quarter
Requisition ID: 95346
Department / Job function: Tech Data AI Ventures

Compensation and Eligibility

Salary range: USD 111,500 - 159,000 per year
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No

Benefits

Leave programs
Adoption assistance
Student loan repayment programs

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