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New York Life Insurance Company Logo

Senior Associate - AI Analyst

New York Life Insurance Company

$121,000 - $172,500
Oct 9, 2025
New York, NY, US
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New York Life is looking to incorporate AI-driven solutions to transform decision-making, streamline operations, and unlock new value for the enterprise by leveraging cutting-edge technologies like Generative AI.

Requirements

  • Proficiency in Python
  • Experience with GenAI technologies and LLM APIs (e.g., OpenAI, Claude, Azure OpenAI)
  • Strong SQL and data pipeline development skills; experience with DBT is a plus
  • Hands-on experience with cloud computing (AWS preferred) and analytics environments such as Databricks
  • Solid understanding of model evaluation, interpretability, and operationalization

Responsibilities

  • Translate business problems into AI use cases—partnering with business leaders to understand requirements and deliver intelligent automation and insights.
  • Lead AI model development and deployment using tools like Python, Hugging Face, and LLM APIs (e.g., OpenAI, Anthropic).
  • Prototype and fine-tune large language models (LLMs) for tasks such as summarization, recommendations, knowledge retrieval, and user interaction.
  • Collaborate cross-functionally with data engineers, software developers, and product managers to integrate AI into enterprise platforms.
  • Create robust data pipelines that prepare and transform data for machine learning and inference workflows.
  • Develop impactful visualizations and documentation to support stakeholder communication and model explainability.
  • Stay current on AI trends and contribute to enterprise thought leadership in AI/ML practices.

Other

  • Hybrid - 3 days per week
  • Bachelor’s degree in a quantitative or technical field (e.g., Computer Science, Data Science, Mathematics, Engineering) or equivalent experience
  • 5+ years of experience in analytics or data science
  • Excellent written and verbal communication skills, including the ability to present technical concepts to non-technical audiences
  • Comfortable navigating ambiguous problems and driving AI use cases from concept to delivery