Senior Associate - Full-Stack AI Engineer

New-York-Life

New York (NY)

Hybrid

USD 100,000 - 143,000

Full time

14 days+
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Job summary

New York Life is seeking a Senior Associate - Full-Stack AI Engineer to design and deliver enterprise AI platform capabilities for scalable, secure solutions.

You will build agent-based, multi-agent AI workflows and governance features, leveraging LLMs, RAG, and vector databases to power business outcomes across the organization. This role requires independent ownership from design through production deployment.

Qualifications

  • 3–5 years of software engineering experience.
  • Proficiency in Python and modern frameworks.
  • Experience building cloud-native applications, APIs, distributed systems, or platform services.
  • Hands-on with generative AI technologies, including LLMs, RAG, tool integration, and prompts.
  • Experience with GCP, Kubernetes, IaC, and CI/CD practices.

Responsibilities

  • Design and deliver enterprise AI platform capabilities, including lifecycle services and governance.
  • Build production-ready AI solutions using multi-agent architectures and tool integration.
  • Implement knowledge systems using RAG, semantic search, embeddings, and vector databases.
  • Develop secure cloud-native services on Google Cloud Platform with Kubernetes and CI/CD.
  • Advance MLOps and LLMOps, including deployment automation, monitoring, and observability.
  • Partner with business and tech stakeholders to address real business challenges.
  • Contribute to engineering standards and operational excellence.

Skills

Python
LLMs
Kubernetes
GCP
CI/CD
APIs
Distributed Systems
RAG

Tools

Kubernetes
GCP
CI/CD Pipelines

Job description

Location Designation: Hybrid - 3 days per week
Role Overview

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 AIstrategy.

What You'll Do
  • 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.
What You'll Bring
  • 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.
Pay Transparency
  • Salary Range: $100,000-$143,000
  • 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.
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.

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.

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