Top Artificial Intelligence Jobs

The IT Director for AI Technical Product Management leads AI strategy implementation and oversees the development of AI tools that enhance employee productivity and decision-making across the organization.

The Applied AI Engineer will design, build, and deploy enterprise-grade AI agents using LLMs, collaborate with customers, and mentor teams to enhance engineering quality.

The Principal Software Engineer will architect, design, and develop AI-powered solutions, collaborate across teams, and ensure high-quality delivery of projects.

Lead the design strategy for complex platforms, drive user-centric experiences, collaborate with product and engineering, and mentor the design team.

The Forward Deployed AI Engineer designs, builds, and deploys intelligent applications using Python and related technologies, addressing customer needs and leading deployment projects.

Lead the technology direction of Turing's Generative AI practice, overseeing application design, client interactions, team management, and engineering standards to enhance enterprise productivity through AI solutions.

As a Principal AI Engineer, you will design and deploy AI applications, manage customer engineering for strategic accounts, and ensure technical feasibility while translating complex needs into solutions.

The role involves leading the engineering team in developing and deploying Generative AI applications, managing the technical roadmap, and collaborating with cross-functional teams to deliver AI solutions.

The Enterprise Sales Director will generate revenue by acquiring Fortune 500 clients, managing sales cycles, and developing executive relationships for AI and technical staffing solutions.

The Applied AI Engineer will onboard customers, guide on product integration, deploy AI solutions, and collaborate with various teams to enhance product capabilities and address client needs.

As a Robotics AI Engineer, you will develop AI models for robotics, integrate features, and maintain an AI model library on the Springcraft platform.

The AI Solutions Architect will enhance workflows using AI, design solutions to streamline tasks, and support AI adoption within the Leveraged Finance team.

The Generative AI Product Owner will execute product vision, oversee product lifecycle, collaborate on AI tools, and enhance advisor efficiency in Wealth Management.

As the AI Implementation Enablement VP, you will lead the adoption of AI tools in Wealth Management by coordinating onboarding, managing implementation tasks, and facilitating collaboration across teams to ensure effective integration and utilization of generative AI.

The AI Platform Engineer will develop an AI Development Platform, driving adoption and scaling of Generative AI across the enterprise, while collaborating with teams to build reusable solutions and robust architectures.

The Product Owner will lead the development of an AI Development Platform, manage stakeholder expectations, prioritize features, and drive adoption of AI solutions across the firm.

As an HR Principal, you will lead AI-driven organization and workflow transformation while collaborating with stakeholders to optimize business processes and organizational design.

Lead enterprise AI organization transformation, including strategy, workforce redesign, and operational integration of AI within the organization. Oversee change enablement and team leadership.

The Data AI Engineer will develop data infrastructure and pipelines, implement governance, optimize systems, and collaborate with stakeholders to enhance AI capabilities at Morgan Stanley.

The AI Ops Lead is responsible for overseeing AI Ops strategies and technical execution, enhancing operational workflows using AI/ML while collaborating within Agile frameworks and mentoring teams.

The AI Product Owner is responsible for the strategy and development of AI-enabled digital experiences, managing product outcomes and partnerships within a complex, regulated team environment. Key responsibilities include defining product vision, managing backlogs, ensuring quality, and overseeing AI evaluation and risk management while driving improvements in client experience and operational efficiency.

The Executive Director will lead AI integration into financial advisor platforms, overseeing product vision, strategy, and lifecycle while ensuring compliance and driving business outcomes.

The VP in Market Risk Analytics will develop models for risk management, focusing on scenario design and stress testing, while enhancing processes with AI tools.

The AI Platform Engineer will build a firmwide AI Development Platform, focusing on scalable and secure solutions, implementing AI capabilities, and improving productivity across the organization.

Lead the development and adoption of AI solutions in Global Capital Markets. Collaborate with teams to enhance transaction processes and market analysis, driving AI implementation and user engagement.