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About the Role

As the Enterprise AI Architect, you will serve as the technical anchor for the platform and the most senior individual contributor on the team, defining engineering patterns, reference architectures, and reusable platform capabilities for all AI solutions. You will design and build complex components, partner with the AI Platform Lead, and provide technical mentorship. This deeply technical role is for an engineer who enjoys solving distributed systems problems across cloud infrastructure, platform engineering, AI runtimes, and software architecture on Google Cloud.

Responsibilities

Define and evolve the enterprise reference architecture and reusable engineering patterns.
Design and build the platform's most technically challenging components.
Develop the engineering foundations that enable rapid delivery of agentic AI solutions.
Deliver platform capabilities as intelligent agents.
Establish engineering standards for software quality, testing, CI/CD, Infrastructure as Code, observability, security-by-default, and AI-assisted software development.
Drive platform portability through open standards, containerization, standardized telemetry, metadata, model serving, and cloud-native engineering practices.
Review complex designs and production code, mentor senior engineers, and help establish a culture of technical excellence.
Build production-quality software while leveraging AI-assisted engineering throughout the software development lifecycle.

Requirements

Significant experience designing and building production-scale software platforms, developer platforms, AI platforms, or distributed systems in cloud-native environments.
Deep expertise in full-stack software engineering, including backend services, APIs, distributed systems, and modern engineering practices, with the ability to own systems through production operations.
Strong experience with cloud infrastructure and platform engineering, including Google Cloud Platform (preferred), Kubernetes, containers, Infrastructure as Code (Terraform), CI/CD, identity, networking, observability, and multi-tenant architectures.
Hands-on expertise building production generative AI and agentic systems, including LLM runtimes, retrieval-augmented generation (RAG), memory architectures, multi-agent orchestration, Model Context Protocol (MCP), agent-to-agent (A2A) communication, and evaluation frameworks.
Experience designing secure, governed AI platforms, including identity-aware access controls, runtime guardrails, policy enforcement, auditability, observability, and responsible AI practices.
Strong software engineering background with expert-level Python and experience with one or more additional languages such as Go, Java, or TypeScript.
Demonstrated experience using AI-assisted software development tools such as Cursor, Claude Code, GitHub Copilot, Windsurf, or similar technologies as part of modern engineering workflows.
Proven ability to influence engineering direction through technical leadership, architecture reviews, mentoring, and engineering best practices.
Experience building enterprise AI platforms within financial services, insurance, or another highly regulated industry.
Experience with Vertex AI, LangChain, Google ADK, AutoGen, CrewAI, MLflow, OpenTelemetry, Ray, vLLM, DeepSpeed, Delta UniForm, Apache Iceberg, or related AI platform technologies.
Experience building reusable developer platforms, internal engineering frameworks, or platform engineering capabilities adopted across multiple teams.
Knowledge of enterprise AI governance frameworks including NIST AI RMF, ISO 42001, SOC 2, HIPAA, GDPR, or emerging AI regulations.

Skills

Python
Go
Java
TypeScript
Google Cloud Platform
Kubernetes
Containers
Infrastructure as Code
Terraform
CI/CD
Observability
Generative AI
Agentic systems
LLM runtimes
Retrieval-augmented generation (RAG)
Memory architectures
Multi-agent orchestration
Model Context Protocol (MCP)
Agent-to-agent (A2A) communication
Evaluation frameworks
AI-assisted software development tools
Cursor
Claude Code
GitHub Copilot
Windsurf

Location

Hybrid

Work Type

Hybrid

Experience Level

Senior
Principal Engineer

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.