Lead AI Engineer

Overview

Lead the development, deployment, and ongoing optimization of AI and Generative AI solutions. Implement engineering best practices to ensure scalability and uptime. 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. 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.

Responsibilities

• Lead the development, deployment, and ongoing optimization of AI and Generative AI solutions
• Implement engineering best practices to ensure scalability and uptime
• 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
• 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

Qualifications

• Bachelor’s degree or equivalent 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 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, and 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