Lead AI Engineer

Lead AI Engineer – Python

Position Overview

An established enterprise organization is looking for an experienced AI Engineering professional to help drive the next generation of intelligent automation initiatives. This role focuses on building, deploying, and enhancing advanced Artificial Intelligence and Generative AI solutions that improve operational efficiency, scalability, and business performance across the organization.

What You’ll Bring

• Ability to work both independently and collaboratively within cross-functional technology teams
• Strong passion for automation, AI innovation, and platform reliability
• Commitment to delivering dependable, high-quality technical solutions and support
• Proven ability to adapt quickly to emerging technologies and evolving business needs

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, Information Systems, or a related discipline
• 7+ years of experience working with cloud technologies, enterprise infrastructure standards, systems engineering, and security frameworks
• 5+ years of hands-on development experience using Python and AI-related technologies
• Extensive background in software development and engineering best practices, including:
• Agile development methodologies
• Source control and code management
• CI/CD and build automation
• Testing strategies and deployment processes
• Code quality and review standards
• Experience working with AI/ML platforms, automation tooling, and operational AI solutions
• Knowledge of container technologies, orchestration platforms, and cloud-based ML services such as SageMaker
• Strong analytical thinking, troubleshooting, and system diagnostics capabilities
• Experience collaborating with distributed or globally aligned technical teams
• Ability to mentor junior engineers and contribute to a strong engineering culture

Key Responsibilities

• Support and enhance enterprise automation and AI platforms across geographically distributed teams
• Build scalable, resilient, and highly available AI-driven systems and applications
• Apply engineering and operational best practices to ensure platform stability and performance
• Participate in the complete AI/ML lifecycle, including architecture, development, testing, deployment, and optimization
• Partner with software engineers, data scientists, infrastructure teams, and DevOps professionals to deliver end-to-end technical solutions
• Monitor platform health, performance metrics, and availability to ensure operational excellence
• Maintain awareness of cybersecurity and industry-standard security practices
• Research emerging technologies and continuously improve existing AI capabilities and infrastructure

Work Environment

• Hybrid schedule with onsite presence three days per week
• Candidates located in New York or New Jersey
• Limited domestic travel required (approximately 10%)

It is the policy of Twentyai to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.