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Lead AI Engineer | Careers at Guardian Life

Guardian Life

Lead AI Engineer | Careers at Guardian Life

full-timePosted: Nov 19, 2025

Job Description

Lead AI Engineer

Are you ready to shape the future of intelligent automation at Guardian Life? Join our high-performing team as a Lead AI Engineer in New York, United States. In this pivotal leadership role, you’ll spearhead the development, deployment, and optimization of cutting-edge AI and Generative AI solutions, driving innovation, operational excellence, and transformative business outcomes across the enterprise.

Why Join Guardian Life?

At Guardian Life, we’re more than an insurance leader—we’re pioneers in leveraging AI to inspire well-being for millions. As a Lead AI Engineer, you’ll thrive in a collaborative, innovative environment with diverse colleagues committed to high ethical standards. Enjoy skill-building programs, leadership development, philanthropic opportunities, and a flexible hybrid work model. Be part of a company that values your growth while you build communities and advance your career in AI engineering.

Role Description

We’re seeking a visionary self-starter to lead AI initiatives in a matrixed, dispersed team environment (onshore and offshore). You’ll deliver rock-solid automation platforms, exceptional customer service, and scalable AI systems using AWS, Python, and advanced frameworks. This hybrid role requires 3 days onsite in New York, New Jersey, or Pennsylvania, with up to 10% US travel. Work independently and collaboratively to advance Guardian’s Automation & Artificial Intelligence objectives.

Detailed Responsibilities

  • Lead all stages of the AI model development lifecycle: design, development, testing, deployment, and ongoing optimization.
  • Design and implement scalable, reliable systems for AI applications, ensuring high uptime and performance.
  • Collaborate with software engineers, data scientists, DevOps teams, and remote stakeholders to architect technical designs and solutions.
  • Implement engineering best practices, including agile methodologies, containerization, orchestration, and industry-standard security protocols.
  • Track, report, and optimize platform performance and availability metrics using AIOps tools.
  • Mentor junior team members, foster technical excellence, and conduct code reviews, source management, and build processes.
  • Operate process automation products & solutions in a global team setting.
  • Stay ahead of AI trends, Generative AI advancements, and emerging technologies to continuously evolve our platforms.
  • Troubleshoot complex issues, perform system analysis, and ensure seamless integration with AWS services like SageMaker.

Required Skills

Excel as a Lead AI Engineer with these core competencies:

  • Expertise in Python programming and AI/ML frameworks (e.g., TensorFlow, PyTorch).
  • Advanced hands-on experience with AWS services, SageMaker, and cloud-native architectures.
  • Proficiency in containerization (Docker) and orchestration (Kubernetes).
  • Strong knowledge of AIOps, software engineering best practices, and agile methodologies.
  • Enterprise architecture, system engineering, security best practices, and DevOps pipelines.
  • Exceptional troubleshooting, problem-solving, and system analysis skills.
  • Experience mentoring teams and working in matrixed, remote environments.
  • Quick learner adaptable to new technologies like Generative AI.

Education & Experience

  • Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Computer Applications, Information Systems, or Information Technology.
  • 7+ years in AWS Services, Enterprise Architecture, system engineering, and security.
  • 7+ years of software development experience across the full lifecycle.
  • 5+ years hands-on with Python, AI Frameworks, and AIOps.
  • Familiarity with containerization, orchestration, and SageMaker.

Compensation Overview

Salary Range: $118,980 - $195,465 annually. This good faith estimate reflects base pay for the New York primary location. Final salary depends on education, experience, knowledge, and abilities. Eligible for annual, sales, or other incentives.

Benefits

Inspire Well-Being with Guardian’s comprehensive package for full-time employees:

  • Flexible, hybrid work with supportive resources.
  • Health, dental, vision, and wellness programs.
  • 401(k) matching, tuition reimbursement, and professional development.
  • Paid time off, family leave, and employee assistance programs.
  • Philanthropic opportunities and inclusive culture.
  • Explore full details at www.guardianlife.com/careers/corporate/benefits.

Equal Employment Opportunity: Guardian is an equal opportunity employer. All qualified applicants considered without regard to age, race, color, creed, religion, sex, sexual orientation, national origin, ancestry, marital status, disability, military status, or other protected classes.

Accommodations: We provide reasonable accommodations for disabilities, pregnancy, childbirth, or related conditions. Guardian is committed to accessibility in employment and services.

Join Guardian Life as a Lead AI Engineer and lead the AI revolution in insurance. Apply now!

Locations

  • New York, United States

Salary

118,980 - 195,465 USD / yearly

Estimated Salary Rangehigh confidence

118,980 - 195,465 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • AI/ML Frameworksintermediate
  • AWS Servicesintermediate
  • SageMakerintermediate
  • Containerization (Docker)intermediate
  • Orchestration (Kubernetes)intermediate
  • AIOpsintermediate
  • Agile Methodologiesintermediate
  • DevOpsintermediate
  • Enterprise Architectureintermediate

Required Qualifications

  • Bachelor’s degree in Computer Science or related field (experience)
  • 7+ years AWS and enterprise architecture experience (experience)
  • 7+ years software development lifecycle (experience)
  • 5+ years Python and AI frameworks (experience)
  • Experience with remote matrixed teams (experience)
  • Mentoring junior engineers (experience)

Responsibilities

  • Lead AI model lifecycle from design to deployment
  • Design scalable AI systems
  • Collaborate with data scientists and DevOps
  • Implement security best practices
  • Track platform metrics
  • Mentor team members
  • Stay current with AI trends

Benefits

  • general: Hybrid work flexibility
  • general: Comprehensive health benefits
  • general: 401(k) matching
  • general: Professional development
  • general: Paid time off
  • general: Philanthropic opportunities

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Guardian Life logo

Lead AI Engineer | Careers at Guardian Life

Guardian Life

Lead AI Engineer | Careers at Guardian Life

full-timePosted: Nov 19, 2025

Job Description

Lead AI Engineer

Are you ready to shape the future of intelligent automation at Guardian Life? Join our high-performing team as a Lead AI Engineer in New York, United States. In this pivotal leadership role, you’ll spearhead the development, deployment, and optimization of cutting-edge AI and Generative AI solutions, driving innovation, operational excellence, and transformative business outcomes across the enterprise.

Why Join Guardian Life?

At Guardian Life, we’re more than an insurance leader—we’re pioneers in leveraging AI to inspire well-being for millions. As a Lead AI Engineer, you’ll thrive in a collaborative, innovative environment with diverse colleagues committed to high ethical standards. Enjoy skill-building programs, leadership development, philanthropic opportunities, and a flexible hybrid work model. Be part of a company that values your growth while you build communities and advance your career in AI engineering.

Role Description

We’re seeking a visionary self-starter to lead AI initiatives in a matrixed, dispersed team environment (onshore and offshore). You’ll deliver rock-solid automation platforms, exceptional customer service, and scalable AI systems using AWS, Python, and advanced frameworks. This hybrid role requires 3 days onsite in New York, New Jersey, or Pennsylvania, with up to 10% US travel. Work independently and collaboratively to advance Guardian’s Automation & Artificial Intelligence objectives.

Detailed Responsibilities

  • Lead all stages of the AI model development lifecycle: design, development, testing, deployment, and ongoing optimization.
  • Design and implement scalable, reliable systems for AI applications, ensuring high uptime and performance.
  • Collaborate with software engineers, data scientists, DevOps teams, and remote stakeholders to architect technical designs and solutions.
  • Implement engineering best practices, including agile methodologies, containerization, orchestration, and industry-standard security protocols.
  • Track, report, and optimize platform performance and availability metrics using AIOps tools.
  • Mentor junior team members, foster technical excellence, and conduct code reviews, source management, and build processes.
  • Operate process automation products & solutions in a global team setting.
  • Stay ahead of AI trends, Generative AI advancements, and emerging technologies to continuously evolve our platforms.
  • Troubleshoot complex issues, perform system analysis, and ensure seamless integration with AWS services like SageMaker.

Required Skills

Excel as a Lead AI Engineer with these core competencies:

  • Expertise in Python programming and AI/ML frameworks (e.g., TensorFlow, PyTorch).
  • Advanced hands-on experience with AWS services, SageMaker, and cloud-native architectures.
  • Proficiency in containerization (Docker) and orchestration (Kubernetes).
  • Strong knowledge of AIOps, software engineering best practices, and agile methodologies.
  • Enterprise architecture, system engineering, security best practices, and DevOps pipelines.
  • Exceptional troubleshooting, problem-solving, and system analysis skills.
  • Experience mentoring teams and working in matrixed, remote environments.
  • Quick learner adaptable to new technologies like Generative AI.

Education & Experience

  • Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Computer Applications, Information Systems, or Information Technology.
  • 7+ years in AWS Services, Enterprise Architecture, system engineering, and security.
  • 7+ years of software development experience across the full lifecycle.
  • 5+ years hands-on with Python, AI Frameworks, and AIOps.
  • Familiarity with containerization, orchestration, and SageMaker.

Compensation Overview

Salary Range: $118,980 - $195,465 annually. This good faith estimate reflects base pay for the New York primary location. Final salary depends on education, experience, knowledge, and abilities. Eligible for annual, sales, or other incentives.

Benefits

Inspire Well-Being with Guardian’s comprehensive package for full-time employees:

  • Flexible, hybrid work with supportive resources.
  • Health, dental, vision, and wellness programs.
  • 401(k) matching, tuition reimbursement, and professional development.
  • Paid time off, family leave, and employee assistance programs.
  • Philanthropic opportunities and inclusive culture.
  • Explore full details at www.guardianlife.com/careers/corporate/benefits.

Equal Employment Opportunity: Guardian is an equal opportunity employer. All qualified applicants considered without regard to age, race, color, creed, religion, sex, sexual orientation, national origin, ancestry, marital status, disability, military status, or other protected classes.

Accommodations: We provide reasonable accommodations for disabilities, pregnancy, childbirth, or related conditions. Guardian is committed to accessibility in employment and services.

Join Guardian Life as a Lead AI Engineer and lead the AI revolution in insurance. Apply now!

Locations

  • New York, United States

Salary

118,980 - 195,465 USD / yearly

Estimated Salary Rangehigh confidence

118,980 - 195,465 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • AI/ML Frameworksintermediate
  • AWS Servicesintermediate
  • SageMakerintermediate
  • Containerization (Docker)intermediate
  • Orchestration (Kubernetes)intermediate
  • AIOpsintermediate
  • Agile Methodologiesintermediate
  • DevOpsintermediate
  • Enterprise Architectureintermediate

Required Qualifications

  • Bachelor’s degree in Computer Science or related field (experience)
  • 7+ years AWS and enterprise architecture experience (experience)
  • 7+ years software development lifecycle (experience)
  • 5+ years Python and AI frameworks (experience)
  • Experience with remote matrixed teams (experience)
  • Mentoring junior engineers (experience)

Responsibilities

  • Lead AI model lifecycle from design to deployment
  • Design scalable AI systems
  • Collaborate with data scientists and DevOps
  • Implement security best practices
  • Track platform metrics
  • Mentor team members
  • Stay current with AI trends

Benefits

  • general: Hybrid work flexibility
  • general: Comprehensive health benefits
  • general: 401(k) matching
  • general: Professional development
  • general: Paid time off
  • general: Philanthropic opportunities

Target Your Resume for "Lead AI Engineer | Careers at Guardian Life" , Guardian Life

Get personalized recommendations to optimize your resume specifically for Lead AI Engineer | Careers at Guardian Life. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Lead AI Engineer | Careers at Guardian Life" , Guardian Life

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Lead AI EngineerGuardian Life CareersAI Jobs New YorkAWS EngineerPython AI DeveloperGenerative AI JobsInsurance Tech CareersMachine Learning EngineerInsuranceFinanceBusiness

Answer 10 quick questions to check your fit for Lead AI Engineer | Careers at Guardian Life @ Guardian Life.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.