Corporate Vice President - Full Stack Engineering Lead - AI & Emerging Technologies

**Location Designation:** Hybrid - 3 days per quarter 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. **What You'll Bring:** - 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 **What You'll Bring:** - 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 **Preferred Qualifications** - 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 **Pay Transparency** Salary Range: $147,500-$211,000 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Actual base salary will be determined based on several factors but not limited to individual’s experience, skills,…