Lead Full-Stack AI Engineer

About the role

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.

Responsibilities

• 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.

Requirements

• 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.

Qualifications

• Master's degree in Computer Science, Engineering, or related field.
• Experience with Python, Java, or other relevant programming languages.
• Knowledge of machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Experience with databases like PostgreSQL, MySQL, or MongoDB.
• Understanding of cloud computing concepts and technologies.

Skills

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Experience with agile methodologies and DevOps practices.

Benefits

• Competitive salary range of $124,000-$177,000.
• Discretionary bonus eligible.
• Annual leave programs.
• Affordable health, dental, and vision insurance.
• Flexible spending accounts (FSA).
• Retirement savings plans (401(k)).
• Employee assistance programs (EAP).
• Adoption assistance program.
• Student loan repayment program.
• Professional development opportunities.
• Volunteer time off (VTO).
• Wellness programs.

Pay

$124,000 - $177,000 annually.

Schedule

Hybrid - 3 days per week.