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About the Role

As a Senior Associate - Full-Stack AI Engineer, you will independently design and deliver platform capabilities and intelligent applications that support New York Life's enterprise AI strategy. You will contribute across the AI engineering stack, building scalable platform services and production-ready agentic solutions while helping establish engineering standards, reusable frameworks, and operational best practices.

Responsibilities

Design, build, and enhance enterprise AI platform capabilities, including model and agent lifecycle services, orchestration frameworks, developer tooling, runtime services, and governance features.
Build production-ready agentic AI solutions that leverage multi-agent architectures, tool integration, planning frameworks, retrieval systems, memory, and workflow orchestration.
Design and implement enterprise knowledge systems using RAG, semantic search, embeddings, vector databases, and modern retrieval techniques.
Develop secure cloud-native services using Google Cloud Platform, Kubernetes, Infrastructure as Code, and CI/CD practices.
Implement MLOps and LLMOps capabilities, including deployment automation, evaluation, monitoring, observability, and performance optimization.
Partner with business and technology stakeholders to deliver AI solutions that address real business challenges.
Contribute to engineering standards, architecture reviews, and operational excellence initiatives.
Leverage AI-assisted engineering capabilities throughout the software development lifecycle.

Requirements

3-5 years of software engineering experience.
Strong proficiency in Python and experience with modern software development frameworks.
Experience building cloud-native applications, APIs, distributed systems, or platform services.
Hands-on experience with generative AI technologies, including LLMs, RAG, tool integration, prompt engineering, and/or agent frameworks.
Experience with GCP, Kubernetes, Infrastructure as Code, and CI/CD practices.
Ability to independently own initiatives from design through production deployment.
Strong communication and stakeholder partnership skills.

Skills

Python
Generative AI
LLMs
RAG
Tool integration
Prompt engineering
Agent frameworks
GCP
Kubernetes
Infrastructure as Code
CI/CD practices
Cloud-native applications
APIs
Distributed systems
Platform services
MLOps
LLMOps

Location

Hybrid

Work Type

Hybrid - 3 days per week

Experience Level

3-5 years of software engineering experience

Salary/Compensations

$100,000-$143,000

Benefits

Leave programs
Adoption assistance
Student loan repayment programs

About the Company

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.

Equal Opportunity

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.
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.