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Job Description

New York Life is hiring a Senior Associate - AI Engineer to support the Tech Data AI Ventures organization and the Artificial Intelligence & Data organization. This hybrid role (3 days per week) focuses on delivering AI/ML solutions that are designed to create enterprise value, with responsible AI practices across the full model lifecycle.

What you’ll do

  • Partner with data, technology, product, and business teams to execute AI/ML initiatives.
  • Deliver business-aligned OKRs that keep AI work outcome-driven and tied to measurable enterprise value.
  • Own end-to-end model development, including data exploration, feature engineering, training and validation, deployment, monitoring, and iterative improvement.
  • Design, build, and validate machine learning models across supervised and unsupervised approaches (for example: classification, regression, survival analysis, clustering), with emphasis on model selection, evaluation strategy, and production readiness.
  • Apply statistical methods and experimentation techniques, including hypothesis testing, causal inference, and A/B testing, to support evidence-based decisions.
  • Develop and help operationalize models using AWS/GCP (including SageMaker and Bedrock) and modern data platforms (Snowflake and Databricks), ensuring quality, security, and scalability.
  • Collaborate with ML engineers to support large-scale production deployment and scaling.
  • Assist in designing and evaluating agentic and AI-powered solutions that automate routine business tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails.
  • Support LLM and RAG initiatives, including vector stores, embeddings, retrieval optimization, and prompt orchestration, with evaluators focused on reliability.
  • Ensure AI capabilities are usable by business teams through APIs, dashboards, and integrated workflow applications.
  • Build lightweight UI prototypes (such as Streamlit) to validate usability and support adoption.
  • Follow model governance, documentation, testing, and CI/CD best practices in partnership with MLOps.

What you bring

  • An advanced degree in Computer Science, Data Science, Machine Learning, AI, Engineering, Mathematics, Statistics, or a related quantitative field.
  • 3+ years of hands-on experience building and deploying ML models for real-world business problems, including feature engineering, model selection, validation strategies, and performance monitoring.
  • A strong foundation in statistics and machine learning, including supervised/unsupervised methods, probabilistic modeling, and model interpretability (for example, SHAP).
  • Proficiency in Python and SQL, plus working knowledge of core software engineering practices such as version control (Git/GitHub), testing, and documentation.
  • Working knowledge of Generative AI concepts, including LLMs, prompt engineering, and RAG.
  • Exposure to agentic AI architectures such as tool-using agents and orchestration frameworks.
  • Ability to partner with business stakeholders and communicate model design and outcomes to both technical and non-technical audiences.
  • Strong communication skills, a collaborative mindset, and a proactive approach to continuous learning.
  • Experience in Life Insurance or consumer finance is a plus.

Salary and role details

  • Location: New York, NY (Hybrid - 3 days per week)
  • Requisition ID: 95310
  • Department: Tech Data AI Ventures
  • Job Level: LEVELPF3
  • Salary Range: $100,000 to $143,000 annually
  • Overtime: Exempt
  • Discretionary bonus: Eligible
  • Sales bonus: Not eligible

Benefits

  • Leave programs
  • Adoption assistance
  • Student loan repayment programs
  • Annual discretionary bonus
  • Employees may be eligible to participate in an incentive program

New York Life provides a full package of benefits for employees, including unique offerings for a modern workforce. Learn more via the NYL Benefits Site.

Inclusion

Fostering an inclusive workplace is fundamental to how New York Life serves its communities.

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