Lead AI Engineer

Lead AI Engineer - PythonPosition OverviewAn 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 BringAbility to work both independently and collaboratively within cross-functional technology teamsStrong passion for automation, AI innovation, and platform reliabilityCommitment to delivering dependable, high-quality technical solutions and supportProven ability to adapt quickly to emerging technologies and evolving business needsRequired QualificationsBachelor's degree in Computer Science, Information Technology, Computer Engineering, Information Systems, or a related discipline7+ years of experience working with cloud technologies, enterprise infrastructure standards, systems engineering, and security frameworks5+ years of hands-on development experience using Python and AI-related technologiesExtensive background in software development and engineering best practices, including:Agile development methodologiesSource control and code managementCI/CD and build automationTesting strategies and deployment processesCode quality and review standardsExperience working with AI/ML platforms, automation tooling, and operational AI solutionsKnowledge of container technologies, orchestration platforms, and cloud-based ML services such as SageMakerStrong analytical thinking, troubleshooting, and system diagnostics capabilitiesExperience collaborating with distributed or globally aligned technical teamsAbility to mentor junior engineers and contribute to a strong engineering cultureKey ResponsibilitiesSupport and enhance enterprise automation and AI platforms across geographically distributed teamsBuild scalable, resilient, and highly available AI-driven systems and applicationsApply engineering and operational best practices to ensure platform stability and performanceParticipate in the complete AI/ML lifecycle, including architecture, development, testing, deployment, and optimizationPartner with software engineers, data scientists, infrastructure teams, and DevOps professionals to deliver end-to-end technical solutionsMonitor platform health, performance metrics, and availability to ensure operational excellenceMaintain awareness of cybersecurity and industry-standard security practicesResearch emerging technologies and continuously improve existing AI capabilities and infrastructureWork EnvironmentHybrid schedule with onsite presence three days per weekCandidates 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.

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