Top Artificial Intelligence Jobs

Lead and optimize the financial systems architecture, drive automation, enhance business intelligence, and develop a high-performing team in financial technology.

Lead the AI transformation at Unanet, developing strategies, governance frameworks, and overseeing AI solution implementation for business efficiency.

The Corporate Counsel will provide legal support for SaaS agreements, manage disputes, negotiate contracts, and ensure compliance within the insurance sector.

Lead automation efforts in Compliance utilizing AI solutions, defining product vision and strategy, collaborating cross-functionally, and measuring impact metrics.

Lead and mentor engineering teams while working directly with clients to develop and implement technology solutions in wealth management. Responsibilities include system architecture, coding, and collaboration with product teams.

The AI Self-Service Program Manager leads AI-driven customer experience programs, focusing on Chatbot and Voice AI platforms to enhance support efficiency, customer satisfaction, and operational metrics through innovation and collaboration.

The Staff Product Manager will lead the development of AI-powered features to improve patient experiences in mental health care. Responsibilities include collaboration with cross-functional teams, managing product development, and ensuring clinical standards are met while innovating with AI technologies.

Lead design and deployment of AI systems, develop agentic components, optimize performance, and mentor others in AI Engineering.

The Senior Account Executive for Enterprise AI will manage client relationships, drive revenue growth, and align Gloo's AI solutions with enterprise needs while collaborating with internal teams.

Design and build AI-powered features for 8am products, collaborate with teams to create AI-driven solutions, and improve infrastructure for AI deployment.

Lead development of production-grade generative AI applications, collaborate with cross-functional teams, and build tools for sales efficiency and customer engagement.

Seeking a Senior Backend Engineer to develop backend systems for a Native AI platform, focusing on API design, data integration, and production software systems using Python and Django.

As a Senior Backend Engineer, you'll build features for AI integration, measure productivity changes, and support production operations in a SaaS environment.

The Senior Backend Engineer, AI Systems will design features for a SaaS environment, manage complex data, and work with AI models. Responsibilities include implementation, support for production, and collaboration within an agile team.

The Senior Technical Program Manager will lead AI initiatives, oversee program execution, manage budgets, and ensure stakeholder alignment.

Lead the design vision and execution of AI-based conversational and multimodal experiences, focusing on usability and user-centered design. Collaborate with stakeholders, create design documentation, and drive innovation through research and prototyping.

The Principal Product Manager will define and execute the product roadmap for the Data and AI Platform, collaborating with engineering and sales to develop AI-powered identity security solutions.

Lead a team of engineers to design and implement AI features, improve user experience, and drive automation solutions with a focus on user needs and experimentation.

The Senior Product Manager will lead LLM Operations, focusing on agent chaining, model orchestration, and developing user-friendly tools for marketers.

The Staff AI Engineer will build and deploy advanced AI systems, focusing on Large Language Models and intelligent agents, to enhance user productivity and optimize customer journeys through intelligent automation.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

Responsible for designing and implementing AI solutions across cloud platforms, leveraging Generative AI, and managing AI services, pipelines, and infrastructure.

Collaborate to design, develop, and deploy AI solutions focusing on Generative AI and autonomous systems, requiring a strong ML engineering foundation.

The role involves planning, executing, and optimizing global marketing campaigns for the AI portfolio, focusing on cross-functional collaboration and performance monitoring.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.