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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