Associate AI Platform Engineer - Hybrid & Cloud-Ready

New-York-Life; New York (NY); Hybrid; USD 81,000 - 116,000; Full time

Job summary

New York Life in New York, NY is looking for an Associate AI Engineer to help build the enterprise AI platform and agentic AI capabilities. You will work with senior engineers on production-ready AI systems spanning cloud, orchestration, and governance features.

Youll gain hands-on experience across AI engineering stack, including Google Cloud, Kubernetes, and retrieval-augmented generation, while contributing to responsible AI and security controls in a fast-paced fintech environment.

Qualifications

• 1–3 years of software engineering experience.
• Proficiency in Python and modern application development.
• Familiarity with cloud tech, APIs, CI/CD, and distributed systems.
• Exposure to AI/ML concepts, LLMs, or agent frameworks.

Responsibilities

• Contribute to development and enhancement of enterprise AI platform capabilities.
• Build production-ready AI applications and agent workflows with retrieval, memory, and human-in-the-loop processes.
• Implement and maintain knowledge systems using semantic search, embeddings, and RAG.
• Develop cloud-native services on Google Cloud, Kubernetes, and IaC.
• Support deployment, monitoring, and governance of AI models and agent-based systems.
• Collaborate to incorporate responsible AI, security, and compliance controls.

Skills

Software Engineering

Python

Cloud Technologies

Kubernetes

CI/CD

LLMs / AI

Tools

GitHub Copilot

Kubernetes

CI/CD tools

Retrieval systems

Job description

New York Life in New York, NY is looking for an Associate AI Engineer to help build the enterprise AI platform and agentic AI capabilities. You will work with senior engineers on production-ready AI systems spanning cloud, orchestration, and governance features.

Youll gain hands-on experience across AI engineering stack, including Google Cloud, Kubernetes, and retrieval-augmented generation, while contributing to responsible AI and security controls in a fast-paced fintech environment.