Corporate Vice President, Full Stack Engineering Lead - AI & Emerging Technologies (Remote)

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

Location: Remote, New York, United States

Department: Tech Data AI Ventures

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.

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

Qualifications

• 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, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.