Top AI Engineer Jobs

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, implement, and deploy advanced AI/ML solutions (including LLMs and vector DBs), analyze complex problems, mentor junior staff, build client relationships, and collaborate across teams to deliver cloud-native, production-ready systems while maintaining professional and ethical standards.

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 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 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.

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 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.

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 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 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 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.