Top AI Engineer Jobs

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.

Lead development of AI solutions and guide large projects as a strategic advisor. Motivate and coach teams, work with stakeholders to align on industry standards, analyze complex data for innovation, and drive production-grade, operational AI outcomes.

Lead development of AI solutions, advise on large-scale projects, and manage high-performing teams. Drive advanced analytics and ML initiatives, design context-aware GenAI chat experiences, ensure production-grade standards, align stakeholders, and foster continuous improvement to deliver impactful, industry-aligned results.

Design and implement advanced AI/ML solutions, analyze complex problems, mentor junior team members, build client relationships, collaborate cross-functionally, maintain MLops practices, and uphold professional and ethical standards.

Lead and coach teams to design, build, and deliver production-grade AI and data solutions for clients. Manage client accounts, plan and execute projects, analyze complex datasets for insights, enforce quality standards, and drive continuous improvement and innovation.

Design and implement AI/ML solutions, analyze complex problems, mentor junior staff, build client relationships, integrate AI into applications, collaborate cross-functionally, and maintain professional and ethical standards.

Lead and manage teams building production AI and data solutions for clients: oversee project planning, budgeting, delivery quality, mentoring, client relationships, and continuous improvement.

Lead and manage teams building data, analytics, and AI/ML solutions. Oversee project planning, budgeting, execution, quality, client relationships, mentoring, and delivery of production-grade models and analytics that drive client outcomes.

Lead development of production-grade AI solutions and guide large projects as a strategic advisor. Build and coach high-performing teams, align stakeholders, apply advanced analytics and systems thinking, analyze complex data for innovation, and drive operational excellence while ensuring quality and clear communication.

Lead development of production-grade AI solutions and guide large projects as a strategic advisor. Motivate and coach teams, collaborate with stakeholders, analyze complex data, and ensure alignment with industry standards while fostering continuous improvement and operational excellence.

Lead development of enterprise AI solutions, advise on large-scale projects, manage and coach high-performing teams, apply systems thinking to analyze complex data, ensure production-grade standards, and drive client-aligned, impactful results using advanced AI technologies.

Design and implement AI/ML solutions, analyze complex problems, mentor junior team members, build client relationships, integrate AI into applications using Oracle data tools and modern ML infrastructure, and uphold professional standards.

Lead and advise teams building AI solutions to improve operational effectiveness. Guide large projects, develop/coach teams, apply systems thinking, analyze complex data, and ensure production-grade standards and stakeholder alignment.

Design and implement AI/ML solutions, analyze complex problems, mentor junior team members, build client relationships, integrate AI into applications, manage data pipelines, deploy and monitor models in cloud-native environments, and uphold professional and ethical standards.

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

Lead development and delivery of AI/ML solutions; manage and coach data engineering teams; manage client accounts; analyze complex datasets for insights; ensure quality, production-grade monitoring, and continuous improvement while upholding firm standards.

Lead development of AI solutions and advise on large-scale projects. Manage and coach teams, apply systems thinking, analyze complex data, implement production-grade GenAI chat features, and align deliverables with industry standards and client needs.

Lead and manage teams building production AI/ML solutions, oversee project planning and delivery, manage client accounts and relationships, analyze complex datasets for insights, ensure quality and monitoring, mentor staff, and drive continuous improvement and innovation.

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, 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.

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.