AWS Generative AI Engineer

Job Title: Generative AI Engineer

Experience: 12 years

Full-time

Location:

• New York, NY, needs locals
• Hybrid: 3 days onsite, 2 days remote
• Up to 10% travel within the US

You are:

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

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 the 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, and 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 platform 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 for 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