Lead AI Engineer

Guardian Life; Town of Texas (WI); Hybrid; USD 119,000 - 195,000; Full time

Job summary

Guardian Life is seeking an AI Engineer to lead development, deployment, and optimization of AI and Generative AI solutions across the enterprise. You will work with a dispersed team, implement scalable engineering practices, and ensure security and reliability of automation platforms.

The role requires 7+ years with AWS, Python, AI frameworks, and hands-on development experience across the lifecycle. Remote collaboration and mentoring are key aspects of the position, with hybrid 3-day onsite at

Qualifications

• Bachelor's degree or equivalent in CS/CE/IT/Information Systems or Information Technology.
• 7+ years working with AWS Services, architecture best practices, system engineering and security.
• 7+ years development experience across the lifecycle, including agile methodologies and code reviews.
• 5+ years hands-on with Python, AI Frameworks, AIOps.
• Familiarity with containerization/orchestration technologies, Sagemaker.
• Strong troubleshooting, problem solving and system analysis skills.
• Willingness to learn new technologies and work with remote teams.
• Mentor junior team members and promote technical excellence.

Responsibilities

• Be part of a dispersed team offshore and onshore for operation of automation products and solutions.
• Implement engineering best practices to ensure scalability and uptime.
• Understand and apply industry security best practices.
• Track and report platform performance and availability metrics.
• Engage in all stages of the model development lifecycle from design to deployment.
• Design and implement scalable, reliable systems for AI applications.
• Collaborate with software engineers, data scientists and DevOps to implement designs.
• Stay current with technologies and industry trends to improve the platform.

Skills

AWS Services

Python

AI Frameworks

AIOps

Agile methodologies

Mentor teammates

Remote collaboration

Education

Bachelor's degree in Computer Science/Engineering/IT

Tools

Sagemaker

Job description

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) to automate the sorting and filtering of information provided by applicants as part of its preliminary screening. This preliminary screening may be used to help identify applicant materials and resumes relative to their indication that the applicant meets the requirements for the specific job for which they are applying, as specified in the listing posted on Guardian's jobs website (Careers at Guardian at https://www.guardianlife.com/careers). At Guardian, we do not use AI Tools to substantially assist or replace human judgment or discretionary decision making in our hiring process. All hiring decisions will be made by Guardian colleagues.

Please be aware that if you apply for a specific position with Guardian, you will have the choice of opting out of Guardian's use of AI Tools during the job application process. If you would like to request an alternative process that does not utilize AI Tools or would like to request a reasonable accommodation, within ten business days of your position application, you must email your request to [e-mail], making sure to provide your name and job requisition identification number. Guardian will retain your applicant materials and resume and all information therefrom in accordance with Guardian's document retention policy, a copy of which you may request via [e-mail].

Additionally, at applicable times, Guardian will make public the most recent bias audit results for such AI tools, which may be found here.