Top AI Engineer Jobs

Lead development of innovative AI solutions and serve as strategic advisor on large projects. Manage and coach high-performing teams, engage stakeholders, apply systems thinking, analyze complex data, and ensure production-grade standards while delivering GenAI and advanced analytics capabilities.

Design and implement advanced AI/ML solutions integrated with enterprise applications, analyze complex problems, mentor junior staff, build client relationships, manage data pipelines and model lifecycle (training, fine-tuning, monitoring), and collaborate with cross-functional teams to deliver cloud-native, production-ready AI systems while upholding professional standards.

Lead and advise teams to design and deliver production-grade AI solutions, drive data-driven insights, and implement GenAI chat integrations. Motivate and coach teams, align stakeholders, apply systems thinking, and ensure operational excellence across large-scale projects.

Lead and manage AI and data engineering teams to design, build, and deliver machine learning and analytics solutions. Oversee project planning, budgeting, quality gates, and client relationships; mentor staff, drive continuous improvement, and ensure deliverables meet firm standards.

Lead and coach data and ML engineering teams to develop production-ready AI solutions. Manage client accounts, ensure quality standards, analyze complex data, and drive continuous improvement and innovation.

Join PwC's DCM AI Labs to design and implement AI/ML solutions, analyze complex problems, mentor junior staff, build client relationships, and integrate AI into business applications using Oracle and cloud-native technologies.

Design and implement AI/ML solutions within Oracle data and analytics; analyze complex problems; mentor junior team members; build client relationships; integrate AI into applications; manage ML pipelines, deployment, and monitoring while upholding professional standards.

Design, implement, and deploy AI/ML solutions using Oracle and modern ML tools; analyze complex problems, mentor junior staff, build client relationships, and maintain professional standards.

Lead and deliver large-scale AI solutions and teams, advise stakeholders, design production-grade ML/GenAI systems, analyze complex data, and drive operational excellence while coaching and developing staff.

Lead and advise teams to design and deliver production-grade AI solutions, drive operational excellence, and align stakeholders. Mentor staff, manage large projects, analyze complex data, and implement advanced technologies (including GenAI chat integrations) while ensuring quality, compliance, and continuous improvement.

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 while collaborating with cross-functional teams.

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.

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 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.

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.