Top AI Engineer Jobs

Lead and manage AI and data engineering teams to develop production-ready machine learning solutions. Oversee project planning, client relationships, quality standards, mentoring, and delivery of actionable insights.

Lead and advise teams building production-grade AI solutions, drive advanced analytics and ML model development, communicate with stakeholders, foster continuous improvement, and ensure alignment with industry and firm standards while coaching and managing complex, large-scale projects.

Lead and manage teams building production-grade AI/ML solutions for clients: supervise delivery, coach staff, manage client accounts, analyze complex datasets, ensure quality standards, drive continuous improvement, and foster innovation.

Lead and manage teams building AI and data engineering solutions: supervise delivery, mentor staff, manage client accounts, analyze complex datasets, ensure quality and production-grade monitoring, and drive continuous improvement.

Design, implement, and deploy AI/ML solutions; analyze complex problems; mentor junior staff; build client relationships; integrate AI into applications; manage data pipelines and model monitoring; maintain professional and ethical standards.

Lead teams to design, develop, and deliver production-grade AI/ML solutions; manage client accounts; analyze complex data for insights; mentor staff; ensure quality, monitoring, and continuous improvement.

Design, implement, and deploy advanced AI/ML solutions using Oracle and modern ML tooling. Analyze complex problems, mentor junior staff, build client relationships, manage data pipelines and model lifecycle (CI/CD and monitoring), and contribute to cross-functional delivery while upholding professional and ethical standards.

Design, implement, and deploy advanced AI/ML solutions in a client-facing consulting environment; analyze complex problems, mentor junior staff, build client relationships, and integrate AI into software and data pipelines while upholding professional standards.

Develop and deploy AI/ML solutions within PwC's DCM AI Labs, analyze complex problems, mentor junior staff, build client relationships, and integrate data pipelines and Oracle analytics tools to deliver actionable insights while upholding professional standards.

Lead and manage AI and data engineering teams to design, develop, and deliver production-grade ML and data solutions. Oversee client accounts, ensure quality and standards, mentor staff, drive continuous improvement, and translate complex data into actionable insights.

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

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

Lead development and delivery of production-grade AI solutions; act as strategic advisor on large projects, guide and develop high-performing teams, align stakeholders to industry standards, analyze complex data for innovation, and foster continuous improvement and operational excellence.

Design and implement AI/ML solutions, analyze complex problems, mentor junior staff, build client relationships, collaborate cross-functionally, and maintain professional and ethical standards while leveraging Oracle data and analytics tools.

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 toolchains.

Lead development and delivery of innovative AI solutions as a Senior Manager. Serve as strategic advisor on large projects, guide and coach teams, align stakeholders to industry standards, analyze complex data for operational improvements, and promote production-grade quality and continuous improvement.

Lead and manage teams to design, develop, and deliver AI and data solutions. Oversee project planning, budgets, quality, client relationships, mentorship, and production-grade monitoring to drive data-driven insights and continuous improvement.

Lead and coach AI/ML and data engineering teams to design, build, and deliver production-grade analytics and AI solutions for clients. Manage client accounts, ensure quality standards, analyze complex datasets, and drive continuous improvement.

Lead development of innovative AI solutions and serve as a strategic advisor on large-scale projects. Motivate and coach high-performing teams, align stakeholders with industry standards, and apply advanced analytics, ML, and systems thinking to extract insights and drive operational excellence.

Lead development of production-grade AI solutions, serve as strategic advisor on large projects, coach and motivate teams, align stakeholders, apply advanced analytics and ML to analyze complex data and drive operational excellence while enforcing technical and professional standards.

Design and implement AI/ML solutions, analyze complex problems, mentor junior staff, build client relationships, collaborate cross-functionally, and maintain professional and ethical standards while leveraging modern ML tooling and data pipelines.

Lead and manage teams to design, develop, and deliver AI and machine learning solutions. Oversee project planning, budgeting, quality, and client relationships; mentor staff, enforce standards, and drive continuous improvement in production-grade analytics and ML deployments.

Design and implement advanced AI/ML solutions, integrate models into applications and Oracle data tools, analyze complex problems, mentor junior staff, build client relationships, manage data pipelines and ML-Ops practices, and uphold professional and ethical standards.

Lead and manage teams building production-grade AI and data solutions. Oversee project planning, budgeting, delivery quality, client relationships, mentoring, and continuous improvement while applying data science and ML techniques to analyze complex datasets and produce actionable insights.

Lead and manage teams building AI and ML solutions: oversee project planning, delivery, quality, client relationships, mentoring, and analytics to produce production-grade models and insights.