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 platforms 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

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

Lead AI Engineer

Key skills