Top AI Engineer Jobs

Lead development of AI solutions and teams to drive operational excellence. Serve as strategic advisor on large projects, guide stakeholders, analyze complex data, and implement advanced technologies (including GenAI chat integrations) while coaching teams and ensuring production-grade standards.

Lead development of AI solutions and serve as strategic advisor on large projects. Manage and coach teams, guide ML model development and data analysis, ensure production-grade standards, collaborate with stakeholders, and drive continuous improvement and operational excellence.

Lead development and delivery of production-grade AI solutions, advise on large-scale projects, manage and coach high-performing teams, collaborate with stakeholders, analyze complex data for innovation, and ensure adherence to technical and professional standards.

Lead development and delivery of AI solutions as a Senior Manager: advise on large projects, guide and mentor teams, apply advanced analytics and ML, build production-grade GenAI experiences, align stakeholders, and drive operational excellence and continuous improvement.

Develop and implement advanced AI/ML solutions using Oracle tools and modern ML infrastructure, analyze complex problems, mentor junior staff, build client relationships, and collaborate cross-functionally while maintaining professional and ethical standards.

Design and implement AI/ML solutions using Oracle and modern ML tooling, analyze complex problems, mentor junior staff, build client relationships, and integrate AI into applications while maintaining professional and ethical standards.

Design and implement AI/ML solutions, analyze complex problems, mentor junior staff, build client relationships, collaborate cross-functionally, and apply Oracle data and analytics tools to develop production-ready AI systems while upholding professional standards.

Design and implement advanced AI/ML solutions, analyze complex problems, mentor junior team members, build client relationships, integrate AI into applications, and collaborate across teams while upholding professional and ethical standards.

Lead development and delivery of AI/ML solutions as a Senior Manager: advise on large-scale projects, coach teams, align stakeholders, analyze complex data, and drive production-grade, operational AI innovations.

Lead and advise teams to design and deliver production-grade AI solutions. Guide large projects, coach staff, align stakeholders, analyze complex data, and implement GenAI/chat experiences to improve operational effectiveness.

Lead and advise teams building production-grade AI solutions. Drive large projects, mentor staff, collaborate with stakeholders, design GenAI chat experiences, analyze complex data, and ensure operational excellence and industry standards.

Design and implement AI/ML solutions, analyze complex problems, mentor junior staff, build client relationships, integrate AI into applications, manage data pipelines, and uphold professional standards.

Design and implement AI/ML solutions, analyze complex problems, mentor junior staff, build client relationships, integrate AI into applications, manage data pipelines, and uphold professional standards.

Lead and deliver enterprise AI solutions as a Senior Manager: advise on large projects, develop GenAI and ML systems, guide teams through complexity, ensure production-grade standards, align stakeholders, analyze data for innovation, and mentor staff to drive operational excellence.

Lead development of AI solutions and serve as strategic advisor on large projects. Guide and coach high-performing data and ML engineering teams, drive production-grade implementations, collaborate with stakeholders, analyze complex data, and deliver GenAI chat and advanced analytics solutions that improve operational effectiveness.

Lead and manage AI and data engineering teams to design, build, and deliver ML and analytics solutions; manage client accounts; ensure quality, mentor staff, and drive continuous improvement and innovation.

Lead development of innovative AI solutions, serve as a strategic advisor on large projects, motivate and coach teams, align stakeholders to industry standards, analyze complex data for operational improvements, and implement production-grade GenAI experiences.

Lead development of AI solutions and large-scale ML projects, advise stakeholders, manage and coach teams, apply systems thinking to analyze complex data, and deliver production-grade, client-aligned GenAI and analytics outcomes.

Lead development of AI solutions and data engineering at scale; serve as strategic advisor on large projects, motivate and coach teams, align stakeholders, apply systems thinking, ensure production-grade quality, and drive data-driven innovation.

Lead and advise teams to design and deliver production-grade AI solutions that improve operational effectiveness. Guide large projects, motivate and develop top-performing teams, engage diverse stakeholders, analyze complex data for innovation, and communicate project goals and progress.

Design and implement advanced AI/ML solutions, analyze complex problems, mentor junior team members, build client relationships, integrate AI into applications, manage data pipelines, and collaborate across teams while upholding professional standards.

Lead and manage teams designing and delivering production-grade AI and ML solutions for clients. Oversee project planning, budgeting, execution and quality; mentor staff; manage client accounts and relationships; analyze complex data to generate insights; enforce standards and continuous improvement, and drive innovation in delivery and monitoring.

Lead and advise teams to design and deliver production-grade AI/ML solutions. Guide large projects, collaborate with stakeholders, drive operational excellence, mentor staff, and analyze complex data to identify innovation opportunities.

Design and implement AI/ML solutions within Oracle data and analytics, analyze complex problems, mentor junior staff, build client relationships, integrate AI into applications, and maintain ethical and professional standards.

Design, implement, and deploy AI/ML solutions within Oracle data and analytics; analyze complex problems, mentor junior staff, build client relationships, and maintain ethical/professional standards while collaborating cross-functionally to deliver cloud-native, production-grade ML systems.