Top Artificial Intelligence Jobs

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 Producer will oversee the development of AI-first mobile games, ensuring projects move from concept to launch while managing cross-functional teams and maintaining quality throughout.

The AI Engineer will prototype and implement innovative document search methods, owning impactful projects as part of Humata's cognitive architecture team.

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

As a Data & AI Presales Solutions Architect, you will manage technical pre-sales engagements, collaborate with sales teams, and identify client requirements for AWS Data & AI solutions.

As a Content Designer, you will collaborate with Product Designers and UX Researchers to enhance user experiences through effective content creation and storytelling.

The AI Application Engineer will design and deploy AI systems, collaborate with teams, implement Generative AI solutions, and promote continuous learning in AI practices.

The SME will develop and record engaging AI for Sales course content, guide learners, and ensure the curriculum aligns with industry trends and best practices.

This role requires the creation of a course on AI for Client Success and Account Management, including recording videos and collaborating with a design team to shape content.

The Director of Artificial Intelligence will lead the firm in AI strategy, integration, governance, and ethical use, while fostering innovation and operational efficiency across the organization.

The SME will develop and teach a 5-week online course on AI for Business Analysis, focusing on upskilling analytics capabilities. Responsibilities include creating content, recording videos, collaborating with learning designers, and ensuring quality learner engagement and success.

The SME will design an AI for Project Management curriculum, create engaging content, and inspire learners on applying AI tools effectively in project management.

The Product Owner will define the vision and strategy for the Carrier Voice AI product line, collaborating with teams to drive execution and product excellence.

As a Product Management Intern, you will work with the CEO and CTO on market research, user insights, and product requirements in AI-driven FinTech.

The Applied AI Engineer will develop end-to-end proofs-of-concept for AI integration, prototype systems rapidly, and collaborate with research and backend teams to deliver functional demos and documentation.

As a Research Engineer, you will tackle AI safety challenges, develop evaluation methodologies, conduct adversarial testing, and work on model alignment and interpretability. You'll bridge theoretical and practical applications of AI safety research and collaborate with product teams to implement safety solutions.

Design and scale voice AI systems for automated phone conversations. Own feature development, make product decisions, and collaborate on technical challenges.

Develop AI agents for fraud detection, own end-to-end feature development, make product decisions, and interact with users and colleagues.

As a SWE Intern, you'll develop software for on-robot autonomy, focusing on AI/ML advancements in navigation and controls, optimizing models, and enhancing robot performance in real-world settings.

As an AI Research Engineer, you'll design and implement systems coordinating large language models with real-world tasks, creating novel prompting strategies and production-ready systems in TypeScript while collaborating with various teams.

As a Principal Data and AI Security Architect, you will design and implement robust security measures for AI/ML and data systems, ensuring data protection and compliance while collaborating with various teams on security strategies.

The role involves developing data use cases, building predictive models, analyzing large datasets, and collaborating with stakeholders in supply chain domains.

The Staff AI/ML Product Manager at Quandri oversees the product lifecycle for ML features, coordinating between engineering and stakeholders, managing initiatives, and ensuring product excellence through iterative development and feedback.

The Software Engineer will develop AI-driven applications, ensure system reliability and security, and collaborate in a Lean Agile environment to deliver innovative solutions.

Design innovative tools and experiences for developers using AI, advocate for AI benefits, collaborate with teams, and manage large projects.