Lead AI Engineer

Guardian Life; Bethlehem (Northampton County); Hybrid; USD 119,000 - 195,000; Full time

Job summary

Guardian Life is seeking an AI Engineer to lead development and deployment of AI and Generative AI solutions across the enterprise. This hybrid role requires coordinating with offshore/onshore teams and implementing scalable automation platforms.

The candidate should have 7+ years in AWS, software development, Python, and AI frameworks, with a strong emphasis on security, automation, and continuous improvement. Onsite 3 days/week with some travel within the US.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Computer Applications, Information Systems or Information Technology.
• 7+ years of experience with AWS Services, Enterprise Architecture best practices, system engineering and security.
• 7+ years of development experience or 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.
• Mentor junior team members and foster a culture of technical excellence.

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.

Skills

AWS Services

Enterprise Architecture

Software development lifecycle

Python

AIOps

Containerization

Education

Bachelor’s degree in CS/CE/IT

Tools

Sagemaker

Job description

Hybrid - In office 3 days per week

Work From Home - TX

Bethlehem

Holmdel

Full time

Are you ready to shape the future of intelligent automation?

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.

You have:

• 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

• Mentor junior team members and foster a culture of technical excellence

You will:

• 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

Location:

• New York, New Jersey or Pennsylvania 3 day onsite hybrid

• Up to 10% travel within US

Salary Range:

$118,980.00 - $195,465.00

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

Our Promise

At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.

Inspire Well-Being

As part of Guardian’s Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits . Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.

Equal Employment Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Accommodations

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact [e-mail] . Please note: this resource is for accommodation requests only. For all other inquires related to your application and careers at Guardian, refer to the Guardian Careers site.

Visa Sponsorship

Guardian is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant. you must be legally authorized to work in the United States, without the need for employer sponsorship.

Notice Regarding Guardian’s Use of Artificial Intelligence in Recruitment

As part of Guardian’s job application process, Guardian may use artificial intelligence tools (“AI Tools