Lead Full-Stack AI Engineer

Lead Full-Stack Engineer

Location Designation:
Hybrid - 3 days per week

Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes.

Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last.

Role Overview

As a Lead Full-Stack Engineer, you will play a key role in shaping and evolving New York Life's enterprise AI platform while building scalable agentic AI solutions that drive business transformation.

You will collaborate closely with business stakeholders to lead technical initiatives, shape architecture decisions, and mentor engineers, while remaining highly hands-on in the design, development, deployment, and operation of production AI systems.

What You'll Do

• Lead the design and implementation of enterprise AI platform capabilities, including agent runtimes, lifecycle services, orchestration frameworks, memory services, governance systems, and developer tooling.
• Build and deliver complex agentic AI solutions using multi-agent architectures, knowledge systems, planning frameworks, and enterprise integrations.
• Architect enterprise retrieval and knowledge management capabilities using RAG, knowledge graphs, semantic search, embeddings, and advanced retrieval approaches.
• Design scalable cloud-native AI infrastructure using Google Cloud Platform, Kubernetes, Infrastructure as Code, observability frameworks, and enterprise identity services.
• Lead implementation of MLOps and LLMOps practices including deployment, evaluation, monitoring, governance, cost optimization, and production operations.
• Partner with architecture, security, legal, risk, and business stakeholders to ensure solutions meet enterprise standards.
• Drive engineering excellence through architecture reviews, reusable frameworks, technical mentorship, and operational best practices.
• Champion AI-assisted software engineering and help establish engineering patterns that accelerate delivery and quality.

What You'll Bring

• 5-8+ years of software engineering experience.
• Strong experience building enterprise platforms, cloud-native systems, or distributed applications.
• Hands-on expertise with generative AI technologies, agentic architectures, RAG, memory systems, retrieval solutions, and enterprise AI applications.
• Experience implementing MLOps and LLMOps capabilities in production environments.
• Strong cloud engineering experience with Google Cloud Platform, Kubernetes, CI/CD, Infrastructure as Code, and observability tooling.
• Proven ability to lead complex technical projects and influence architecture decisions.
• Experience mentoring engineers and driving engineering best practices.

Why This Role

• Build across the full AI stack. Work on both the enterprise platform and the intelligent solutions built on top of it.

• Solve meaningful business problems. Develop production agentic AI systems that transform how work is performed across New York Life.

• Join a senior engineering team. Work alongside experienced engineers in a high-autonomy, high-ownership environment with minimal bureaucracy.

• Shape enterprise AI. Help define the engineering standards, governance patterns, and technical foundation that will enable AI across the organization.

• Build for the long term. This is a strategic platform investment focused on scalable, production-ready capabilities—not short-lived experiments.

Location We are committed to attracting exceptional talent and will consider flexible work arrangements for the right candidate.

Job Level: LEVELPF4

Pay Transparency

Salary Range: $124,000-$177,000

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.