Enterprise AI Platform Intern - Systems (Summer 2027)

New York Life Insurance Co; Tampa (FL); Hybrid; USD 148,000 - 211,000; Full time

Benefits offered by this job

Pension plan

401(k) Savings Plan

Tuition reimbursement

Leave programs, adoption assistance, &

Summer flex time

Hybrid work environment

Job summary

New York Life Insurance Co is seeking an Enterprise AI Architect to anchor the AI platform and guide engineering across the organization. You will define patterns, reference architectures, and reusable capabilities that let teams rapidly build, deploy, and govern AI solutions.

This hands‑on, deeply technical role will collaborate with the AI Platform Lead and mentor engineers across cloud, runtimes, and infrastructure.

Qualifications

• 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.
• 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.

Responsibilities

• Define and evolve the enterprise reference architecture and reusable engineering patterns that underpin every AI asset, including common registration schemas, semantic metadata, execution contracts, governance controls, and lifecycle management.
• Design and build the platform's most technically challenging components, including AI lifecycle registries, AI control‑plane services, model abstraction layers, enterprise memory services, retrieval capabilities, and reusable platform APIs.
• Develop the engineering foundations that enable rapid delivery of agentic AI solutions, including reusable scaffolds, frameworks, builder agents, and multi‑agent implementation patterns.
• Deliver platform capabilities as intelligent agents where appropriate, enabling the platform to automate its own lifecycle management, planning, governance, and operational workflows.
• Establish engineering standards for software quality, testing, CI/CD, Infrastructure as Code, observability, security‑by‑default, and AI‑assisted software development across the platform team.
• Drive platform portability through open standards, containerization, standardized telemetry, metadata, model serving, and cloud‑native engineering practices that avoid unnecessary vendor lock‑in.
• Review complex designs and production code, mentor senior engineers, and help establish a culture of technical excellence across the organization.
• Build production‑quality software while leveraging AI‑assisted engineering throughout the software development lifecycle.

Skills

Production platforms

Cloud-native engineering

GCP expertise

Kubernetes

CI/CD

Python

LLM runtimes

Governance & security

Tools

Cursor

Claude Code

GitHub Copilot

Windsurf

Job description

New York Life Insurance Co is seeking an Enterprise AI Architect to anchor the AI platform and guide engineering across the organization. You will define patterns, reference architectures, and reusable capabilities that let teams rapidly build, deploy, and govern AI solutions.

This hands‑on, deeply technical role will collaborate with the AI Platform Lead and mentor engineers across cloud, runtimes, and infrastructure.