AI Engineer

Seeking an AI Engineer with hands-on experience with end-to-end development, deployment and maintenance of advanced AI and Generative AI solutions.

Hybrid 3 days onsite 2 days remote

Location:

• New York, NY
• Up to 10% travel within US

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/ML Frameworks, MLOps
• Familiarity with Containerization and Orchestration technologies
• 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