AI Solution Architect, Corporate Vice President

Key Skills

Aartificial intelligence, Apache Hadoop, AWS, Data science techniques, HuggingFace, Keras software library, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Natural Language Toolkit - NLTK, Python Programming, PyTorch, Scrum Agile Methodology, spaCy, TensorFlow

Job Description

The Center for Data Science and Artificial Intelligence (CDSAi) is an innovative corporate Analytics group within New York Life. We are a rapidly growing entrepreneurial department which aims to design, create and offer innovative data-driven solutions for many parts of the enterprise. We are aided by New York Life’s existing business with a large market share in individual life insurance. We have the freedom to explore external data sources and new statistical techniques and are excited about delivering a whole new generation of predictive analytics and artificial intelligence solutions.

In fact, we are building one of the first multivariate model-based continuous risk differentiations in the industry. We are also working on models for differentiated advertising allocation by geography, channel and segment. Geographic analytics on agents and customers, application fraud detection, agent success prediction and client prospecting analytics (off-line and on-line) are other exciting examples of enormous incremental value from analytics. Our products are implemented into real-time core business processes and decisions that drive the company (e.g.,underwriting, pricing, agent recruiting, prospecting, advertising allocation, new product development).

We work with data ranging from demographics, credit, and geo data to detailed medical data (medical test results, diagnosis, prescriptions) and social media information. We have a modern computing environment with a solid suite of data science/modeling tools and packages, and a large (but manageable) group of well-trained professionals at various levels to support you. Life insurance is on the verge of huge change. This is a chance to drive the transformation of an industry.

The Center for Data Science and Artificial Intelligence (CDSAi) is the 60-person innovative corporate Data Science group within New York Life, led by Chief Analytics Officer Glenn Hofmann (https://www.linkedin.com/in/glennhofmann/). We are a rapidly growing entrepreneurial department which designs, creates, and deploys innovative data-driven solutions for many parts of the enterprise. For more opportunities in data science, please visit our website (https://www.newyorklife.com/careers/corporate/data-science)

You will oversee all technical aspects of CDSAi’s 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. You’ll be an instrumental member of the MLOps team lead by Boris Simanovich (https://www.linkedin.com/in/boris-simanovich/)

Responsibilities

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

Required qualifications

• 10+ years of experience in Solution Architecture or Lead Software Engineering position with at least 3-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
• Experience 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