Top Artificial Intelligence Jobs

Develop and deliver AI and Gen AI solutions, mentor other engineers, automate processes, and ensure compliance in an agile environment.

Design, optimize, and deploy multimodal AI models for real-world applications focusing on vision and language understanding, ensuring accuracy and performance in production systems.

As a Senior Software Engineer, you'll build and deploy AI-powered solutions, collaborating with clients to optimize workflows, design systems, and handle ambiguous problems.

The Applied AI Operations Lead will ensure the deployment and governance of AI agents in healthcare, collaborating with customers to improve workflows and drive adoption.

The Senior AI Product Owner will lead AI engineering teams, oversee solution design, mentor engineers, ensure code quality, and assess new technologies in AI initiatives.

The Principal Software Engineer will design and implement AI-powered SaaS applications while providing technical leadership and mentoring to the team.

The Director of AI Automation leads AI-driven automation systems, translating strategic goals into practical solutions, managing teams, and enhancing operational efficiency.

Lead AI transformation initiatives at Lyft, focusing on People, Finance, and Legal technologies. Define strategies, prototype solutions, and ensure responsible AI adoption. Collaborate with business stakeholders and enhance employee experiences through AI and digital transformation.

Develop and optimize Large Language Models for scientific discovery in battery technology. Collaborate with teams to enhance AI solutions and publish research findings.

The Product Manager will oversee the software platform and mobile app lifecycle, focusing on AI innovation, quality assurance, and customer needs in logistics.

The Associate Director of Generative AI Engineering will lead the integration of advanced AI technologies, develop a Generative AI roadmap, and manage teams for AI-driven innovations in the pharmaceutical industry.

The AI Engineer will design and deploy AI-powered workflows, collaborating with legal teams to enhance productivity and client service. Responsibilities include data extraction, workflow automation, monitoring performance, training sessions, and ensuring compliance with legal standards.

The Senior Machine Learning Engineer will enhance recommendation systems, employ AI/LLM technologies, and drive AI innovation for content discovery and user engagement.

The role involves leading technical directions for recommendation systems and AI initiatives, driving adoption of AI technologies, and mentoring others in system-level thinking.

The AI Success Engineer supports education institutions by driving account health and AI adoption, ensuring technical readiness, and delivering value through customer-focused strategies. Responsibilities include leading technical relationships, managing deployments, and facilitating workshops to enhance educational outcomes using OpenAI's platform.

The AI Infrastructure Architect will build and evolve AI infrastructure for Okta's identity solutions, collaborating cross-functionally, ensuring security, and implementing MLOps practices.

The Senior Software Engineer will design and build GenAI applications, focusing on full-stack development, integrating AI, and enhancing internal user experiences.

The Senior Software Engineer will design and scale infrastructure for AI, build pipelines, optimize performance, and mentor engineers on ML systems.

Assist in deploying and monitoring Cerebras AI infrastructure, perform troubleshooting, collect telemetry, and learn through shadowing senior engineers.

As a Product Manager, you'll own product vision, engage with customers for feedback, define requirements, and work with teams for successful product delivery, especially in AI/ML solutions.

The Senior Director, AI Strategy & Enablement drives the AI direction, aligns business technology leaders, and leads AI-driven transformation to enhance decision-making and customer experience.

The Manager leads workstreams in data strategy for private markets, aligning stakeholders, translating business objectives, and enhancing data governance while mentoring team members.

As an AI Engineer, you will develop AI agents for clinical research, automate workflows, and collaborate closely with project managers and clinicians to improve clinical trial processes.

The Lead Product Manager will drive product strategy for AI-powered fall detection systems, collaborating with teams to enhance care outcomes and translate AI capabilities into real-world value.

Lead the development of AI systems integrating computer vision and language understanding, focusing on reinforcement learning and multimodal AI architectures.