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
We are building a small, highly technical AI engineering team responsible for creating New York Life's enterprise AI platform and the first generation of agentic AI solutions that run on it.
As an Associate AI Engineer, you will contribute to both platform and product development while working alongside senior engineers to build production-quality AI systems. You will gain hands-on experience across the AI engineering stack, including cloud infrastructure, platform services, retrieval systems, developer tooling, multi-agent workflows, and enterprise AI applications.
Success in this role requires strong software engineering fundamentals, curiosity around AI technologies, and a passion for building scalable solutions that create business value.
What You'll Do
• Contribute to the development and enhancement of enterprise AI platform capabilities, including agent lifecycle services, developer tooling, runtime orchestration, workflow management, and governance features.
• Build and support production-ready AI applications and agentic workflows that leverage retrieval, tool integration, memory, and human-in-the-loop processes.
• Implement and maintain enterprise knowledge systems using semantic search, vector databases, embeddings, and retrieval-augmented generation (RAG).
• Develop cloud-native services and infrastructure using Google Cloud Platform, Kubernetes, CI/CD pipelines, and Infrastructure as Code.
• Support deployment, monitoring, testing, and operational management of AI models and agent-based systems.
• Collaborate with senior engineers to incorporate responsible AI, security, governance, and compliance controls into solutions.
• Leverage AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or similar technologies as part of daily development work.
What You'll Bring
• 1-3 years of software engineering experience.
• Experience with Python and familiarity with modern application development.
• Exposure to cloud technologies, APIs, CI/CD, testing, and distributed systems concepts.
• Familiarity with AI/ML concepts, LLMs, RAG, embeddings, or agent frameworks through coursework, projects, internships, or professional experience.
• Strong problem-solving skills and desire to learn emerging AI technologies.
• Effective communication and collaboration skills.
Job Level: LEVELPF2
Pay Transparency
Salary Range: $81,000-$115,500
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 hereto 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: 94760
#BI-Hybrid
Skills Required
- 1-3 years of software engineering experience
- Experience with Python
- Familiarity with modern application development
- Exposure to cloud technologies
- Exposure to APIs
- Exposure to CI/CD
- Exposure to testing
- Exposure to distributed systems concepts
- Familiarity with AI/ML concepts, LLMs, RAG, embeddings, or agent frameworks through coursework, projects, internships, or professional experience
- Strong problem-solving skills
- Effective communication and collaboration skills
What We Do
At New York Life, our 180-year legacy of integrity, mutuality, and financial strength fuels a future defined by bold transformation. As the largest mutual life insurance company in the U.S., we operate on behalf of our policy owners—not shareholders. That structure allows us to take a long-term view, investing in people, purpose, and innovation that endures. Guided by a clear enterprise vision to become a technology-, data-, and AI-powered company, we’re modernizing our platforms, rearchitecting experiences, and embedding intelligence across our products and services. Our mission has always been about helping people through life’s most meaningful moments. Today, technology is amplifying that mission—enabling us to serve clients, advisors, and communities in more personalized, proactive ways. With a diversified business portfolio spanning insurance, investments, retirement, group benefits, and direct-to-consumer offerings, New York Life delivers the stability of a Fortune 100 company with the agility of one that’s continuously evolving. We’re powered by a values-led culture, inclusive teams, and a shared belief that when our people thrive, so does our company. Here, tradition fuels momentum—and your ideas, energy, and growth power what’s next.
Why Work With Us
New York Life is transforming from the inside out—blending 180 years of trust with the velocity of innovation. What makes us different is our culture: grounded in integrity, humanity, and shared success—values that show up in how we work, lead, and grow. If you want a place where innovation has purpose—build what's next with us.
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New York Life Insurance Company Teams
New York Life Insurance Company Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
















