Associate - Full-Stack AI Engineer

New York Life•New York, NY

4d•$81,000 - $115,500•Hybrid

About The Position

Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes. Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last. We are building a small, highly technical AI engineering team responsible for creating New York Life's enterprise AI platform and the first generation of agentic AI solutions that run on it. As an Associate AI Engineer, you will contribute to both platform and product development while working alongside senior engineers to build production-quality AI systems. You will gain hands-on experience across the AI engineering stack, including cloud infrastructure, platform services, retrieval systems, developer tooling, multi-agent workflows, and enterprise AI applications. Success in this role requires strong software engineering fundamentals, curiosity around AI technologies, and a passion for building scalable solutions that create business value.

Requirements

1-3 years of software engineering experience.
Experience with Python and familiarity with modern application development.
Exposure to cloud technologies, APIs, CI/CD, testing, and distributed systems concepts.
Familiarity with AI/ML concepts, LLMs, RAG, embeddings, or agent frameworks through coursework, projects, internships, or professional experience.
Strong problem-solving skills and desire to learn emerging AI technologies.
Effective communication and collaboration skills.

Responsibilities

Contribute to the development and enhancement of enterprise AI platform capabilities, including agent lifecycle services, developer tooling, runtime orchestration, workflow management, and governance features.
Build and support production-ready AI applications and agentic workflows that leverage retrieval, tool integration, memory, and human-in-the-loop processes.
Implement and maintain enterprise knowledge systems using semantic search, vector databases, embeddings, and retrieval-augmented generation (RAG).
Develop cloud-native services and infrastructure using Google Cloud Platform, Kubernetes, CI/CD pipelines, and Infrastructure as Code.
Support deployment, monitoring, testing, and operational management of AI models and agent-based systems.
Collaborate with senior engineers to incorporate responsible AI, security, governance, and compliance controls into solutions.
Leverage AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or similar technologies as part of daily development work.