Top Artificial Intelligence Jobs

The role involves leading AI/GenAI initiatives, architecting solutions, and driving business impact through autonomous AI systems. This includes managing the AI/ML lifecycle, designing AI agents, and mentoring team members.

Senior Software Engineer position focused on developing AI-powered systems in the trucking industry, leading projects from conception to delivery and mentoring other engineers.

The AI Project Manager will lead AI initiatives within the supply chain, managing projects, collaborating with stakeholders, and ensuring technical execution in planning and logistics.

The AI/ML Ops Engineer will collaborate with teams to develop AI/ML solutions, optimize models, and apply machine learning in cloud environments.

Lead AI Transformation Engineering, assess AI tools, design data pipelines, collaborate with teams, oversee AI infrastructure, promote AI literacy.

The Principal AI Researcher will lead innovative AI research, design algorithms, mentor junior members, and collaborate with teams to enhance AI technologies and methodologies.

The Senior Data Scientist will lead the development of AI frameworks and decision intelligence systems to enhance business analytics and customer engagement, translating AI concepts into actionable insights.

The Staff ML/AI Platform Engineer will design, prototype and deploy AI/ML models, optimize pipelines, mentor junior engineers, and collaborate closely with other teams to develop machine learning solutions.

The Senior Product Manager will lead the AI platform and go-to-market strategy, manage product roadmaps, and collaborate with cross-functional teams to drive product success.

The AI Solutions Engineer will design and deploy AI-driven solutions to enhance engineering workflows, leveraging AI tools and frameworks, and collaborate with experts to implement intelligent automation.

Design and develop distributed system components and data infrastructures for AI/ML applications, ensuring scalability and performance while collaborating across teams.

The Staff Product Manager for AI/ML at Twilio will define the product roadmap, lead AI development, collaborate with teams, and deliver improvements in AI capabilities.

Lead the product roadmap for AI support operations, focusing on customer support improvements using AI tools, enhancing productivity, and streamlining workflows.

The AI Deployment Strategist will lead customer deployments, manage stakeholder relationships, guide configuration and training, and improve implementation processes for Nooks AI products.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Lead a team of ML engineers to develop AI models for speech technologies, ensuring performance and scalability while fostering a collaborative team culture.

The role involves leading a team of ML engineers to develop AI models for real-time communication, overseeing end-to-end ML development, and fostering an innovative team culture.

As a Senior Site Reliability Engineer, you will manage HPC cluster operations, deploy infrastructure-as-code solutions, support research teams, and develop automation tools.

Seeking a Principal Software Engineer to build developer products for LLM applications, ensuring high-quality tools and APIs while leading engineering practices and collaborating across teams.

Lead AI initiatives in finance by defining product vision, collaborating with cross-functional teams, and driving agile development processes. Responsible for data analysis and strategic decision-making tools.

The Staff Engineer in Applied AI is responsible for designing, building, and deploying production-ready AI systems, collaborating with teams to enhance customer experiences and automating workflows.

The Data Engineer (AI) will design scalable data pipelines, build LLM-based solutions on cloud platforms, and optimize data architectures while collaborating with cross-functional teams and clients.

As a Sr. AI Software Engineer, you'll architect and deploy AI systems, engineer workflows, evaluate AI systems, and enhance product innovation through prompt engineering and optimization.

The AI Engineer will develop AI solutions, ensure ethical practices, maintain infrastructure, optimize performance, and mentor team members.

Develop and scale AI-powered features for Vendelux's platform, focusing on data-driven solutions and enhancing user experience in event marketing.