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About the Role

We are building a small, senior AI engineering team responsible for creating New York Life's enterprise AI platform and the first generation of agentic AI solutions. This role spans both platform and product development, working across the full AI engineering stack from cloud infrastructure to multi-agent orchestration and production operations. The platform is built on Google Cloud and designed to leverage cloud-native services while remaining portable. Success requires strong software engineering fundamentals, practical AI expertise, and a passion for building production-quality systems that create measurable business value.

Responsibilities

Design, build, and enhance the enterprise AI platform, including model and agent lifecycle management, AI control-plane services, developer tooling, runtime orchestration, memory services, workflow management, and governance capabilities.
Build production-ready agentic AI solutions that solve complex business problems using multi-agent architectures, structured planning, tool integration, retrieval, memory, and human-in-the-loop workflows.
Design and implement enterprise knowledge systems using retrieval-augmented generation (RAG), knowledge graphs, semantic search, embeddings, and modern information retrieval techniques.
Develop secure, cloud-native AI infrastructure using Google Cloud Platform, Kubernetes, Infrastructure as Code, CI/CD, observability, and enterprise identity and access management.
Implement MLOps and LLMOps capabilities, including model deployment, evaluation, observability, monitoring, cost optimization, runtime governance, testing, and safe release practices.
Partner with security, architecture, legal, and risk teams to embed responsible AI, governance, security, and compliance into platform capabilities and enterprise AI solutions.
Build platform capabilities as intelligent agents wherever appropriate, enabling the platform to automate lifecycle management, planning, governance, and operational workflows.
Leverage AI-assisted engineering throughout the software development lifecycle to accelerate delivery while maintaining high standards for quality, security, and reliability.

Requirements

Strong software engineering experience with Python and experience in one or more additional languages such as TypeScript or Java.
Experience designing and building production AI platforms, enterprise software platforms, or cloud-native distributed systems.
Hands-on experience with modern generative AI technologies, including LLMs, multi-agent orchestration, retrieval-augmented generation (RAG), memory architectures, tool integration, and evaluation frameworks.
Experience with AI platform engineering, including model lifecycle management, agent runtimes, observability, developer tooling, and enterprise integration patterns.
Strong cloud engineering experience, preferably with Google Cloud Platform, including managed AI services, Kubernetes, networking, identity, containers, CI/CD, and Infrastructure as Code.
Experience implementing MLOps and LLMOps practices, including model deployment, evaluation, monitoring, tracing, performance optimization, and production operations.
Experience using AI-assisted software development tools such as Cursor, Claude Code, GitHub Copilot, Windsurf, or similar technologies.
Strong communication and collaboration skills with the ability to work effectively across engineering, architecture, security, and business teams.
Ability to operate successfully within a regulated enterprise environment while balancing innovation with governance.
Experience within financial services, insurance, healthcare, or another highly regulated industry.
Experience with Vertex AI, LangChain, Google ADK, CrewAI, AutoGen, MLflow, OpenTelemetry, GraphRAG, Ray, vLLM, or related AI platform technologies.
Knowledge of enterprise AI governance frameworks including NIST AI RMF, ISO 42001, SOC 2, HIPAA, GDPR, or emerging AI regulations.
Experience building reusable developer platforms or internal engineering frameworks adopted across multiple teams.

Skills

Python
TypeScript
Java
Generative AI
LLMs
Multi-agent orchestration
Retrieval-Augmented Generation (RAG)
Memory architectures
Tool integration
Evaluation frameworks
AI platform engineering
Model lifecycle management
Agent runtimes
Observability
Developer tooling
Enterprise integration patterns
Google Cloud Platform (GCP)
Kubernetes
Infrastructure as Code (IaC)
CI/CD
MLOps
LLMOps
Model deployment
Model evaluation
Monitoring
Tracing
Performance optimization
Production operations
AI-assisted software development tools
Cursor
Claude Code
GitHub Copilot
Windsurf
Communication
Collaboration
Responsible AI
Governance
Security
Compliance
Financial services
Insurance
Healthcare
Vertex AI
LangChain
Google ADK
CrewAI
AutoGen
MLflow
OpenTelemetry
GraphRAG
Ray
vLLM
NIST AI RMF
ISO 42001
SOC 2
HIPAA
GDPR
AI regulations

Location

Hybrid

Work Type

Hybrid - 3 days per week

Experience Level

Senior

Salary/Compensations

$147,500-$211,000

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.