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. You will contribute across the AI engineering stack, building scalable platform services and production-ready agentic solutions while helping establish engineeringstandards, reusable frameworks, and operational best practices. What You'll Do • Design, build, and enhance enterprise AI platform capabilities, including model and agent lifecycle services, orchestrationframeworks, 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 retrievaltechniques. • 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 performanceoptimization. • 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 agentframeworks. • 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. 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 . Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities. Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees’ needs. Job Requisition ID: 94769

Requirements

Must-haves

Location Designation: Hybrid - 3 days per week
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.
Design, build, and enhance enterprise AI platform capabilities, including model and agent lifecycle services, orchestrationframeworks, 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 retrievaltechniques.
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 performanceoptimization.
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.
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 agentframeworks.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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