About The Position

The Full Stack Engineering Lead will report to the DevSecOps Center for Enablement (C4E) and lead the design and delivery of high-impact solutions using emerging technologies such as AI, advanced automation, and modern data platforms. This role partners closely with business and technology teams to understand domain-specific challenges and opportunities, translating them into innovative, secure, and scalable solutions aligned with enterprise standards, architectural patterns, and best practices. The role also plays a key part in redefining engineering boundaries to advance New York Life’s technology leadership.

Requirements

  • 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

Nice To Haves

  • 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

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

Benefits

  • We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs.
  • Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.
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