New York Life is looking to leverage AI and Generative AI to transform customer and employee experiences, enhance efficiency, and create measurable business value within its Service operations.
Requirements
- Hands-on fluency in Python, SQL, AWS (SageMaker, Bedrock, S3), Git/GitHub, and modern CI/CD workflows.
- Working knowledge of LLMs, RAG architectures (vector stores, embeddings, retrieval optimization), agent frameworks, and safe automation design.
- Strong background in machine learning methods (supervised/unsupervised, deep learning, boosting, clustering, regularization, validation).
- Experience collaborating across product, data, and engineering teams to deliver scalable, production-ready AI solutions.
- Experience leading AI/ML/data science initiatives that delivered production-grade solutions with measurable business impact.
Responsibilities
- Lead large-scale AI initiatives end-to-end: from discovery and design through deployment, monitoring, and continuous improvement.
- Design agentic systems that automate routine service tasks, with human-in-the-loop safeguards, escalation thresholds, and safety guardrails.
- Guide and contribute to the development and operationalization of models on AWS (e.g., SageMaker, Bedrock) and modern data platforms (Snowflake, Databricks), ensuring solutions are production-ready, secure, and scalable.
- Guide teams in applying advanced ML and GenAI methods—LLMs, RAG pipelines, supervised/unsupervised models—while ensuring reliability, security, and governance.
- Partner with product managers, ML and data engineers, and MLOps to deliver production-ready solutions.
- Ensure AI capabilities are accessible through APIs, dashboards, and lightweight applications for internal use.
- Mentor and grow data scientists and AI engineers, accelerating AI maturity across the enterprise.
Other
- Hybrid - 3 days per week
- Advanced degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related quantitative field.
- Proven ability to bridge technical depth and executive influence: you can translate complex concepts into clear business terms and drive alignment with senior stakeholders.
- Exceptional communication, leadership, and mentoring skills; ability to inspire and scale high-performing teams.
- Experience in customer service or consumer finance domains is a plus.
- This role involves limited travel (<10%) to events and vendor meetings.
