Top Artificial Intelligence Jobs

The Full-Stack AI Software Engineer develops complex solutions, performs integration, leads projects, and collaborates with business stakeholders. They are responsible for coding, testing, and supporting AI/ML applications using various programming languages and cloud technologies.

Lead the architecture and development of AI/LLM applications, focusing on model evaluation, deployment, and collaboration with product teams to enhance healthcare technology.

The AI Engineer Intern will assist in implementing AI strategies, building AI models, deploying solutions, and optimizing AI pipelines while collaborating with engineers and consultants to translate business goals into technical execution.

The AI Consultant Intern collaborates with Sales and Engineering to identify AI opportunities, support readiness assessments, and create implementation strategies. Responsibilities include participating in client discovery sessions and assisting in documentation and planning for AI strategies.

Design, develop, and deploy AI systems and ML models for manufacturing applications. Collaborate with teams, train models, optimize performance, and innovate using new AI technologies.

The role involves crafting and implementing a communications strategy for Elastic's partner ecosystem, focusing on storytelling, collaboration, and building narratives with partners.

The Full Stack AI Engineer develops AI-powered solutions for digital pathology, collaborating across teams, architecting systems, and ensuring compliance.

Design and implement AI systems, productionize AI features, ensure quality and safety, monitor deployed systems, and collaborate with cross-functional teams.

Drive solution discovery and design of AI solutions, support sales proposals, deliver demonstrations, and enhance customer relationships at Five9.

The Principal Product Manager will lead the AI Infrastructure team to develop AI/ML platforms, ensuring scalability, security, and alignment with business goals, while mentoring team members and driving innovation in AI technologies.

Senior AI/ML Software Engineer responsible for developing AI features, mentoring junior developers, and integrating ML models into the Rocket Lawyer platform.

Design and implement AI features for Rocket Lawyer's platform, mentor junior developers, and work collaboratively with product teams.

Develop and implement AI features across the Rocket Lawyer platform, mentor junior developers, and maintain ML models to enhance user products.

Rocket Lawyer seeks an experienced AI/ML Software Engineer to enhance AI features in their platform, mentor developers, and collaborate across teams.

The role involves developing AI/ML features, mentoring junior developers, and collaborating with product teams to integrate AI capabilities into Rocket Lawyer's platform.

Lead the implementation of quality management systems and regulatory compliance strategies for medical device clients, leveraging AI technology.

Lead development of Generative AI solutions, focusing on Python-based microservices, automated testing, and DevOps practices. Collaborate with teams to implement enterprise-grade AI applications and workflows.

As an Applied AI Engineer at Quizlet, you will develop and implement AI-driven learning tools focused on personalization and generative AI, collaborate with cross-functional teams, and ensure quality and performance in ML systems.

The AI Engineering Manager will lead a team to design and implement AI solutions, oversee projects, and ensure compliance with standards while collaborating with stakeholders.

The Senior Legal Counsel will advise on AI-related legal issues, ensuring regulatory compliance, guiding product development on privacy, and managing legal transactions in AI technology.

As a GTM AI Engineer, you'll optimize AI and automation for Marketing, Sales, and Customer Success teams. Responsibilities include identifying AI opportunities, developing workflows, tracking impact, and facilitating AI knowledge sharing.

The role involves driving projects from concept to delivery, ensuring operational rigor, coordinating between teams, and improving processes while communicating effectively with stakeholders.

The AI QE Developer will design, develop, test, and deliver scalable applications, emphasizing automated testing for AI technologies, collaboration, and adherence to engineering standards.

Provide tier-1 support for AI CTRL clients, resolve technical issues, escalate complex cases, and optimize support processes.

The Generative AI Engineer will develop AI-driven features for medical records, collaborating with teams to create systems extracting and generating clinical insights from EHR data, while ensuring accuracy and clinical relevance.