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About the Role

Contribute to New York Life's digital transformation by developing and deploying AI and machine learning solutions that enhance efficiency and improve client, agent, and employee experiences. This role focuses on building core technical skills, learning enterprise AI practices, and delivering well-defined components of AI solutions.

Responsibilities

Execute AI/ML initiatives in partnership with data, technology, product and business teams.
Deliver business-aligned OKRs, ensuring AI initiatives are outcome-driven and tied to enterprise value creation.
Contribute to the end-to-end model lifecycle: data exploration, feature engineering, model training/validation, deployment, monitoring, and iteration.
Design, build, and validate ML models across supervised and unsupervised paradigms (e.g., classification, regression, survival analysis, clustering), with attention to model selection, evaluation strategies, and production-readiness.
Apply statistical methods and experimentation techniques — including hypothesis testing, causal inference, and A/B testing — to validate model performance and drive evidence-based decisions.
Develop and help operationalize models using AWS/GCP (e.g., SageMaker, Bedrock) and modern data platforms (Snowflake, Databricks), ensuring quality, security, and scalability; partner with ML engineers for large-scale production deployment and scaling.
Assist in designing and evaluating agentic/AI-powered solutions that automate routine business tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails.
Assist in implementing and refining LLM/RAG approaches (vector stores, embeddings, retrieval optimization, prompt orchestration) with evaluators for reliability.
Ensure AI capabilities are accessible through APIs, dashboards, and integrated workflow applications used by business teams.
Build lightweight UI prototypes (e.g., Streamlit) to validate usability and support adoption.
Adhere to model governance, documentation, testing, and CI/CD best practices in partnership with MLOps.

Requirements

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 to solve real-world business problems, including feature engineering, model selection, validation strategies, and performance monitoring.
Strong foundation in statistics and machine learning — including supervised/unsupervised methods, probabilistic modeling, and model interpretability (e.g., SHAP) — with the ability to select and evaluate appropriate approaches for a given problem.
Proficiency in Python and SQL; working knowledge of core software engineering concepts (version control with Git/GitHub), testing and documentation.
Working knowledge of Generative AI concepts (e.g., LLMs, prompt engineering, RAG).
Exposure to Agentic AI architectures (e.g., tool-using agents, orchestration frameworks).
Ability to partner with business stakeholders and communicate model design and outcomes to both technical and non-technical audiences.
Strong communication skills and a collaborative mindset.
Proactive mindset and commitment to continuous learning.
Experience in the Life Insurance industry or consumer finance domains is a plus.

Skills

Python
SQL
Git/GitHub
AWS/GCP (SageMaker, Bedrock)
Snowflake
Databricks
Streamlit
Generative AI
LLMs
Prompt Engineering
RAG
Agentic AI
Supervised Learning
Unsupervised Learning
Probabilistic Modeling
Model Interpretability (SHAP)
Statistical Methods
Experimentation Techniques
Hypothesis Testing
Causal Inference
A/B Testing

Location

Hybrid

Work Type

Hybrid - 3 days per week
Full-time

Experience Level

3+ years of hands-on experience
LEVELPF3

Education Level

Advanced degree in Computer Science, Data Science, Machine Learning, AI, Engineering, Mathematics, Statistics, or a related quantitative field.

Salary/Compensations

$100,000-$143,000

Benefits

Leave programs
Adoption assistance
Student loan repayment programs

About the Company

At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.

Equal Opportunity

At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners.