Top Artificial Intelligence Jobs

The AI Digital Strategist will own client marketing strategy, utilizing AI tools to draft frameworks and accelerate deliverables, ensuring quality control and direct client consulting.

The Senior Manager leads analytics and AI strategy at Choice Hotels, driving data-driven decisions, ensuring alignment with business goals, and promoting organizational change through analytics and AI fluency programs.

The role involves designing and implementing AI-driven DevOps practices, managing cloud infrastructures, and collaborating with engineering teams to enhance operations.

Lead the development of AI data pipelines, improve data capabilities, integrate AI solutions, mentor team members, and ensure operational efficiency.

Lead the Applied ML team's experimentation efforts, mentoring scientists and engineers to improve AI-driven methodologies and collaboration across various product areas.

Lead and execute growth strategies across the user lifecycle, utilizing data, AI, and creative experimentation to drive user acquisition, retention, and monetization.

The Senior Product Designer leads design initiatives, mentors teams, shapes product strategy, and delivers user experiences in AI and SaaS products.

Lead the Go-To-Market strategy for AI solutions, engage with customers, and partner with sales operations, product, and engineering teams to drive adoption and revenue outcomes.

The Strategic Sales Manager will drive business growth by managing key global accounts, leading the sales cycle, and collaborating cross-functionally to exceed revenue targets.

The Senior AI Platform Engineer will design, develop, and maintain scalable healthcare technology platforms, ensuring reliability and compliance with regulations while enhancing developer productivity through automation and best practices.

The Senior Applied AI/ML Scientist will architect and implement AI modeling efforts, focusing on fine-tuning large language models, while handling data lifecycle and ensuring model reliability in production.

The AI Manager will lead data science initiatives, mentoring the team and managing projects while developing advanced analytical models to address business challenges. Responsibilities include project execution, team leadership, and stakeholder communication.

As a Senior AI Engineer, you will develop and optimize Generative AI applications, manage AI pipelines, collaborate with clients, and ensure production delivery with MLOps best practices.

As an SDK Software Engineer, you will develop and maintain AI SDKs, collaborate with teams, and contribute to open-source projects.

The AI Transformation Manager leads AI initiatives across Cross River, ensuring alignment with strategic objectives while managing compliance and transformation metrics.

The Staff Software Engineer will design and build intelligent front-end interfaces, backend services for AI solutions, mentor engineers, and collaborate with global teams to enhance enterprise-grade AI experiences.

Design and maintain Azure cloud infrastructure using Terraform; manage containers, optimize networking, and build CI/CD pipelines; collaborate with AI teams.

As an Applied AI Engineer, you will develop and deploy AI agents for construction projects, manage their lifecycle, and optimize related systems.

Interns will work on AI-powered tools and automation workflows, presenting results to a leadership panel by the end of the program, with prize incentives for performance.

The Manager, AI Success Strategist will lead a team to deliver measurable AI outcomes for customers, focusing on adoption and retention metrics through strong product expertise and people leadership.

The AI/ML Engineer will design, develop, and implement scalable AI solutions for a DoD client, requiring expertise in AI/ML technologies and integration with existing systems.

The AI Full Stack Developer will modernize legacy systems into web-based solutions, develop backend systems, create RESTful APIs, and manage databases while ensuring functionality and conducting integration testing.

This internship involves developing AI models for sim-to-real transfer in HIL systems, focusing on enhancing model fidelity through domain adaptation techniques.

Engage with customers in legal AI solutions to drive adoption and value, establish strategic relationships, and enhance satisfaction while managing customer success plans.

As a Customer Success Manager, engage with customers to develop strategies for successful adoption of Thomson Reuters' legal AI solutions, enhance satisfaction, and advocate for customer needs.