[Remote] Corporate Vice President - Full Stack Engineering Lead - AI & Emerging Technologies
Note: The job is a remote job and is open to candidates in USA. New York Life is evolving into a more technology-, data-, and AI-enabled organization. The Full Stack Engineering Lead will design and deliver high-impact solutions using emerging technologies, collaborating closely with various teams to create innovative, secure, and scalable solutions.
Responsibilities
- Architect, design, and implement end-to-end full stack solutions using modern frameworks and cloud-native technologies
- Lead the end-to-end design and development of platforms that enhance the developer experience
- Define and execute strategies for AI and GenAI solutions, including Agentic AI use cases
- Implement innovative approaches to reduce developer onboarding friction and improve productivity
- Collaborate with data scientists, software engineers, platform engineers, security teams, and business leaders to deliver AI-driven solutions
- Identify, assess, and mitigate ethical, legal, and security risks associated with AI systems
- Stay current with emerging technologies, GenAI models, Model Context Protocols, and Agentic AI, incorporating forward-looking capabilities into solution designs
- Lead, mentor, and guide engineering teams to deliver robust, scalable, and secure solutions
- Balance speed-to-market with technical quality and long-term sustainability
- Run pilots with emerging and proven technologies, creating reusable assets and integrating successful solutions into enterprise operations
- Ensure solutions align with enterprise architecture standards and leverage shared platforms, tools, and processes
- Build strong partnerships across Technology Enablement teams (cloud, security, data) and business stakeholders
- Communicate effectively across technical and non-technical audiences to ensure alignment and drive informed decision-making
Skills
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Systems Analysis, or a related field (or equivalent experience and certifications)
- 8+ years of experience in full stack engineering and architecture, including AI and GenAI solutions
- Strong experience in software architecture, engineering best practices, and technology governance
- Hands-on experience with front-end technologies such as React, Angular, and JavaScript
- Hands-on experience with back-end technologies such as Java, Spring Boot, Node.js, and C#
- Experience with AI frameworks such as TensorFlow and PyTorch
- Proficiency in Python and experience with AI orchestration frameworks such as LangChain
- Experience with vector databases, knowledge graphs, and modern data processing techniques
- Strong understanding of Agile development methodologies, DevSecOps practices, and CI/CD pipelines
- Experience with Infrastructure as Code (e.g., Terraform)
- Cloud platform experience, preferably AWS
- Deep understanding of architectural patterns, principles, and frameworks
- Strong analytical skills with the ability to connect technical solutions to business outcomes
- Experience delivering end-to-end AI solutions, including data ingestion, vectorization, model integration, and deployment platforms
- Experience implementing enterprise platforms such as content management systems, low-code platforms, or application builders
- Knowledge of security protocols and secure system design
- Financial services industry experience
Benefits
- Leave programs
- Adoption assistance
- Student loan repayment programs
Company Overview
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