Jobs in the United States

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New York Life

Senior Associate - AI Security Engineer

Remote, United States

Salary Range: $111,500-$159,000

Apply on careers.newyorklife.com About employer

Applications open in a new tab.

Job details

Pay: Salary Range: $111,500-$159,000
Apply by: May 4, 2027
Experience: 2+ years of hands-on experience with AI/ML, Generative AI, LLM applications, or agentic AI technologies.
Posting language: English
Posted: Nov 5, 2026

Original job description

Location Designation: Hybrid - 3 days per quarter

Technology, Data, AI and Ventures:

Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes.

Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last.

Role Overview

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 You'll 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.

What You'll Bring

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.

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 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.

Job Level: LEVELPF4

Pay Transparency

Salary Range: $111,500-$159,000

Overtime eligible: Exempt

Discretionary bonus eligible: Yes

Sales bonus eligible: No

Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

Company Overview

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.

Our Benefits

We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.

Our Commitment to Inclusion

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. Click here to learn more about New York Life’s leadership in this space.

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. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.

Job Requisition ID: 95346

Apply on careers.newyorklife.com About employer

More about this job

Skills

Communication skills
LangChain
Python
AWS
Microsoft Azure
Google Cloud
API development
Git
Kubernetes
CI/CD
Infrastructure as code
Data protection
Research
Troubleshoot
IBM Terraform
GitHub

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Work requirements

Jobs in the United States