Lead AI Engineer

Guardian Life InsuranceNew York, NY
$118,980 - $195,465Hybrid

About The Position

We’re seeking a visionary AI Engineer to join our high-performing team. In this pivotal role, you’ll lead the development, deployment, and ongoing optimization of cutting-edge AI and Generative AI solutions that drive innovation and operational excellence across the enterprise. You are: A self-starter who can work independently and as part of a team to implement and operate new technologies that help Guardian Life advance its Automation & Artificial Intelligence objectives. Driven by a desire to deliver outstanding customer service and a rock-solid stable automation platform, you will be successful through successful operation of our automation platforms.

Requirements

  • Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Computer Applications, Information Systems or Information Technology
  • 7+ years of experience in working with AWS Services, Enterprise Architecture best practices, system engineering and security.
  • 7+ years of development experience or significant knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operation
  • 5+ years of hands-on experience with Python, AI Frameworks, AIOps
  • Familiarity with Containerization and Orchestration technologies, Sagemaker
  • Strong software troubleshooting, problem solving and system analysis skills
  • Willingness and capability to learn new technologies quickly
  • Experience working with remote teams in a matrixed environment
  • Must be legally authorized to work in the United States, without the need for employer sponsorship.

Responsibilities

  • Be part of a dispersed team both offshore and onshore for operation of process automation products & solutions
  • Implement engineering best practices to ensure scalability and uptime
  • Have an understanding of the Industry standard security best practices
  • Track and report on platforms performance and availability metrics
  • Be involved in all stages of the model development lifecycle from design to development, testing, and deployment.
  • Design and implement scalable and reliable systems to AI applications
  • Collaborate with software engineers, data scientists, and DevOps teams to design and implement technical designs and solutions
  • Stay up-to-date with new technologies and industry trends, and continuously improve the platform to meet the changing needs of the company
  • Mentor junior team members and foster a culture of technical excellence

Benefits

  • Skill-building
  • Leadership development
  • Philanthropic opportunities
  • Opportunities to build communities and grow your career
  • Diverse colleagues with high ethical standards
  • Contemporary, supportive, flexible, and inclusive benefits and resources
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service