Job Description

When you join New York Life, you’re joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You’ll have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture.

When you join New York Life, you are joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You will have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture.

New York Life’s AI and Data team delivers innovative data, insights, and AI solutions for the organization. Our AI team works on a diverse portfolio of AI and GenAI projects, by combining agile and entrepreneurial drive with industry-leading methods and tools. Our efforts are fully supported by executive leadership, and we work hand in hand with our Business Partners through all stages of model development from ideation to deployment. As it takes multiple skill sets to deliver AI models to production, our AI team includes product managers, data scientists, MLOps engineers, program managers, a model validation & governance group, and a communications & development group.

You will work with the Lead AI Architect on all technical aspects of solution delivery, including defining the target state architecture of data science/AI solutions. You will be the tip of the spear when it comes to learning and implementing state-of-the-art AI solutions, using the gained knowledge to set standards and create patterns to software engineering best practices.

Responsibilities

Responsible for the technical architecture/roadmap of AI/ML solutions
Expertise in developing solution architectures that integrate ML models into real-world systems.
Hands-on prototyping of new technology and AI solutions
Ability to collaborate with a diverse group of people, including business, data scientists, MLOps engineers, and Technology partners.
Be able to step in and provide technical expertise at any point in the project.
Review code to ensure solutions are properly designed and implemented.
Stay up to date with the latest AI trends/emerging technologies and look for opportunities to improve the stack.
Current understanding of LLMs and their use
Build strong relationships with Enterprise Architecture to ensure our solutions meet Tech constraints.
Effectively articulate information and ideas to a diverse group of people

Required qualifications.

7+ years of experience in Solution Architecture or Lead Software Engineering position with at least 2-years hands on with AI/ML
Ability to define target state technology architecture and roadmaps.
Passionate about technology transformations, innovation, and continuous improvement
Expert in Python, including experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras
Experience with advanced natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face
Strong knowledge of data structures, algorithms, and software engineering principles
Experience with big data platforms such as Redshift, Snowflake and Hadoop
Expert with cloud compute environments (AWS) along with cloud-native tools
Experience with Agile/Scrum methodology and best practices
Graduate-level degree in computer science, engineering, or relevant work experience

Preferred: 

Previous work experience with Generative AI
Understanding of use and implementation of Vector Databases
Insurance industry experience