Senior AI Platform Engineer - Full-Stack & MLOps

New York Life Insurance Co; New York (NY); On-site; USD 100,000 - 143,000; Full time

Job summary

New York Life Insurance Co is seeking a Senior Associate - Full-Stack AI Engineer to independently design and deliver platform capabilities and intelligent applications supporting the enterprise AI strategy.

You will build scalable services, establish standards, and contribute across the AI stack, from model lifecycle to governance, while collaborating with business and technology stakeholders to solve real challenges.

Qualifications

• 3-5 years of software engineering experience.
• Strong proficiency in Python and modern frameworks.
• Experience building cloud-native apps, APIs, distributed systems.
• Hands-on with generative AI, LLMs, RAG, tool integration, and agent frameworks.
• Experience with GCP, Kubernetes, IaC, and CI/CD.

Responsibilities

• Design, build, and enhance enterprise AI platform capabilities.
• Build production-ready agentic AI solutions with multi-agent architectures.
• Design and implement enterprise knowledge systems using RAG, semantic search, embeddings, vector databases, and retrieval techniques.
• 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 performance optimization.
• 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.

Skills

Python

LLMs

Kubernetes

GCP

CI/CD

Agent frameworks

Distributed systems

Job description

New York Life Insurance Co is seeking a Senior Associate - Full-Stack AI Engineer to independently design and deliver platform capabilities and intelligent applications supporting the enterprise AI strategy.

You will build scalable services, establish standards, and contribute across the AI stack, from model lifecycle to governance, while collaborating with business and technology stakeholders to solve real challenges.