Lead Full-Stack AI Engineer

Posted 4 Hours Ago
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New York, NY, USA
Hybrid
124K-177K Annually
Senior level
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Powered by purpose. Driven by people. Built to evolve.
The Role
Lead the design and delivery of enterprise AI platform capabilities and production agentic AI solutions. Build multi-agent systems, RAG and knowledge management solutions, cloud-native infrastructure, and MLOps/LLMOps capabilities. Partner with business, architecture, security, legal, and risk stakeholders; influence architecture decisions; mentor engineers; and establish reusable engineering, governance, monitoring, and operational practices.
Summary Generated by Built In
Location Designation: Hybrid - 3 days per week
Technology, Data, AI and Ventures:
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.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it.
Our 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.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space.
Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
Job Requisition ID: 94768
#BI-Hybrid

Skills Required

  • 5-8+ years of software engineering experience
  • Experience building enterprise platforms, cloud-native systems, or distributed applications
  • Hands-on experience 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
  • Ability to lead complex technical projects and influence architecture decisions
  • Experience mentoring engineers and driving engineering best practices

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The Company
HQ: New York, NY
12,000 Employees
Year Founded: 1845

What We Do

At New York Life, our 180-year legacy of integrity, mutuality, and financial strength fuels a future defined by bold transformation. As the largest mutual life insurance company in the U.S., we operate on behalf of our policy owners—not shareholders. That structure allows us to take a long-term view, investing in people, purpose, and innovation that endures. Guided by a clear enterprise vision to become a technology-, data-, and AI-powered company, we’re modernizing our platforms, rearchitecting experiences, and embedding intelligence across our products and services. Our mission has always been about helping people through life’s most meaningful moments. Today, technology is amplifying that mission—enabling us to serve clients, advisors, and communities in more personalized, proactive ways. With a diversified business portfolio spanning insurance, investments, retirement, group benefits, and direct-to-consumer offerings, New York Life delivers the stability of a Fortune 100 company with the agility of one that’s continuously evolving. We’re powered by a values-led culture, inclusive teams, and a shared belief that when our people thrive, so does our company. Here, tradition fuels momentum—and your ideas, energy, and growth power what’s next.

Why Work With Us

New York Life is transforming from the inside out—blending 180 years of trust with the velocity of innovation. What makes us different is our culture: grounded in integrity, humanity, and shared success—values that show up in how we work, lead, and grow. If you want a place where innovation has purpose—build what's next with us.

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