Top AI Engineer Jobs

Lead and mentor teams of data scientists and ML engineers to design and deliver AI/ML solutions. Manage client relationships, translate business problems into AI architectures, implement AI solution designs, drive innovation, analyze data for insights, and ensure high-quality, ethical delivery of projects.

Lead and mentor teams to design, implement, and deliver AI/ML solutions and architectures using Oracle data tools and modern MLOps. Manage client relationships, translate business problems into AI strategies, drive innovation, ensure quality and integrity, and contribute to project planning and delivery.

Lead and mentor teams to design and deliver AI/ML solutions using Oracle analytics and modern ML tooling. Manage client relationships, translate business challenges into AI architectures, drive innovation, ensure quality, and oversee project planning and delivery while coaching team members and enforcing professional standards.

Serve as a technical leader and manager designing and delivering AI/ML solutions using Oracle data tools and modern ML architectures. Lead teams, manage client relationships, translate business problems into AI strategies, and promote MLOps, scalable microservices, and Responsible AI practices.

Lead and mentor teams to design, build, and deploy AI/ML solutions using Oracle data tools and modern ML infrastructure. Manage client relationships, translate business problems into AI architectures, drive innovation, ensure quality, and deliver measurable outcomes while coaching and developing team members.

Lead teams of data scientists and ML engineers to design, implement, and deliver AI/ML solutions using Oracle data tools and cloud-native architectures. Manage client relationships, translate business problems into AI strategies, drive MLOps/CI-CD practices, and incorporate LLMs, vector databases, and semantic search into scalable deployments while mentoring staff and ensuring quality and ethical AI practices.

Lead and mentor teams of data scientists and ML engineers to design and deliver AI/ML solutions. Manage client relationships, translate business problems into AI architectures, implement scalable cloud-native solutions, and drive innovation while ensuring quality, integrity, and stakeholder alignment.

Lead and mentor teams to design and deliver AI/ML solutions for clients. Translate business problems into AI architectures, implement data and ML pipelines, drive innovation, manage client relationships, and ensure high-quality, ethical delivery of AI projects.

Lead and mentor teams to design and deliver AI/ML solutions using Oracle data tools and modern MLOps practices. Manage client relationships, translate business problems into AI architectures, drive innovation, and ensure quality, compliance, and successful project delivery.

Lead teams to design and deliver AI/ML solutions using Oracle data tools and modern ML practices. Manage clients, translate business problems into AI architectures, mentor staff, and drive MLOps, LLM, and semantic search implementations to achieve measurable outcomes.

Lead and mentor AI/ML teams to design, build, and deliver enterprise AI solutions. Manage client relationships, translate business problems into AI architectures, implement AI/ML models and MLOps practices, and drive innovation while upholding quality, ethics, and firm standards.

Lead teams to design and deliver AI/ML solutions using Oracle data tools and modern ML architectures. Manage client relationships, translate business problems into AI strategies, implement scalable cloud-native deployments, mentor staff, and ensure quality and ethical standards across engagements.

Lead and mentor teams of data scientists and ML engineers to design, implement, and deliver AI solutions. Manage client relationships, translate business problems into AI architectures, drive innovation, analyze data for insights, and uphold quality and compliance. Contribute to solution design, architecture, and team development while leveraging Oracle data and analytics tools and modern AI/ML practices.

Lead and mentor data science and ML engineering teams to design, build, and deliver AI solutions. Manage client relationships, translate business problems into AI architectures, implement AI/ML systems, drive innovation, ensure quality and compliance, and support business development.

Lead and mentor data science and ML engineering teams to design and implement AI/ML solutions and architectures. Manage client relationships, translate business problems into AI strategies, drive innovation, analyze data for insights, and uphold quality and compliance standards.

Lead and mentor teams of data scientists and ML engineers to design and deliver AI/ML solutions. Manage client relationships, translate business problems into AI architectures, implement AI systems, analyze data for insights, drive innovation, maintain quality standards, and support business development and proposal activities.

Lead and mentor teams to design and deliver AI/ML solutions using Oracle data tools and modern ML architectures. Manage client relationships, translate business problems into AI strategies, design solution architecture, drive innovation, ensure quality and compliance, and support project planning, delivery, and team development.

Lead and mentor teams to design, implement, and deliver AI/ML solutions using cloud-native, MLOps, and Oracle analytics tooling. Manage client relationships, translate business problems into AI architectures (including LLMs, vector search and semantic search), drive innovation, ensure quality, and contribute to proposals and technical delivery as a Manager in Data & Analytics Engineering.

Lead and mentor teams to design and deliver AI/ML solutions using Oracle data tools and modern MLOps practices. Manage client relationships, translate business challenges into AI architectures, drive innovation, ensure quality, and support project planning and delivery while promoting responsible AI and scalable cloud-native deployments.

Manager-level role in PwC's Data and Analytics Engineering team leading AI/ML delivery. Lead teams, manage client relationships, design and implement AI solution architectures, drive innovation, analyze data for insights, mentor staff, and uphold quality and ethics. Focus includes LLMs, MLOps, cloud-native microservices, containerized deployments, vector databases, and Oracle analytics tools.

Lead and mentor AI/ML teams to design and deliver AI solutions using Oracle data and analytics tools. Manage client relationships, translate business problems into AI architectures, implement scalable cloud-native and MLOps-enabled solutions, and promote innovation, quality, and Responsible AI across engagements.

Lead development and implementation of AI/ML solutions, transform raw data into actionable insights, design and optimize models, manage projects and budgets, supervise and mentor teams, maintain quality and client relationships, and drive innovation across data and analytics engineering.

Lead design and delivery of AI/ML solutions and data engineering workstreams. Transform data into insights, optimize models and algorithms, manage projects and budgets, supervise and mentor teams, maintain technical and professional standards, and manage client relationships to ensure successful outcomes.

Lead design and delivery of AI/ML solutions, transform data into insights, manage projects and budgets, mentor and supervise teams, maintain technical and professional standards, and manage client relationships to ensure successful outcomes.

Lead design and implementation of AI/ML solutions, transform data into insights, manage projects and budgets, coach teams, maintain quality and client relationships, and drive technology adoption.