Top Artificial Intelligence Jobs

Lead and grow the AI Transformation team by managing engineering projects and mentoring engineers, while focusing on developing scalable AI-centered solutions.

As a Lead Applied Scientist, you'll develop AI models for global supply chain challenges, implementing advanced machine learning and MLOps in a collaborative team setting.

Lead HR transformation by developing a global knowledge management strategy, ensuring accurate AI-ready content, and fostering collaboration across HR and IT.

As an AI Extern, you will optimize language models, collaborate with teams on machine learning solutions, analyze data, and enhance product functionality.

The Senior Principal AI/ML Architect will drive AI architectural vision, influence multi-squad strategy, design intelligent systems, and set operational standards for Yahoo Mail's AI capabilities.

The Helix AI Engineer will design and develop multimodal autonomous agents, focusing on reasoning and reliability for humanoid robots using machine learning techniques and frameworks.

As Staff Product Manager, you'll define the strategy for an AI-powered workflow builder, lead execution, and optimize compliance processes for upmarket customers with complex needs.

The Senior AI Sales Engineer supports the Sales team by providing technical expertise, demonstrating product capabilities, and ensuring customer requirements are met throughout the pre-sales process.

Lead AI and automation efforts in Customer Success, redesign workflows, audit processes, and implement AI-enhanced solutions to optimize team productivity and engagement.

The Staff Software Engineer will enhance the developer platform by creating AI tooling, optimizing CI/CD systems, strengthening Kubernetes reliability, and mentoring team members.

As an AI Engineer Intern, you'll collaborate with engineering teams to enhance software development workflows using AI and automation, prototyping tools, and implementing CI/CD processes.

The AI Content Specialist will leverage AI to optimize content creation, ensuring engagement and alignment with marketing strategies while tracking performance metrics.

The Senior AI Developer will design, develop, and deploy AI solutions in health tech, integrating conversational AI features and working with cloud platforms.

As a Data & AI Specialist, you will support nonprofit customers using Windfall's solutions, provide guidance, and handle user inquiries.

Work with a newly formed AI team to develop and implement GenAI-powered products, collaborate on user needs, and execute experiments for business impact.

Build and deploy high-impact AI-native products, architect agent-driven workflows, and collaborate with teams to integrate cutting-edge AI solutions into production systems.

As AI Resilience Fund Manager, you'll establish and manage a fund focused on resilient investments, lead fundraising, and advise investors on navigating challenges created by AI and economic shifts.

The role involves applying systems engineering principles in AI/ML environments, particularly focusing on the full lifecycle of AI systems and ensuring technical integrity and quality of deliverables.

Lead design and build of AI-powered systems (LLMs, agents, vector DBs), create POCs and production-ready solutions, integrate with third-party models, develop full-stack APIs and pipelines, collaborate with product/data/security, and drive AI experimentation and adoption across the business.

Lead the development of a new AI product from discovery to launch, collaborating with cross-functional teams to define strategy, vision, and roadmap, while validating AI features and maintaining market competitiveness.

The AI Data Scientist will engage in the entire data science lifecycle, developing AI solutions on Databricks to improve investment decisions and collaborating with business partners.

The AI Adoption Program Manager drives enterprise-wide AI adoption, defines KPIs, manages AI tools, engages stakeholders, and ensures responsible AI practices.

Lead a team of engineers to enhance productivity through AI devtools, ensuring innovative internal product experiences and fostering collaboration across Stripe.

The Principal AI Scientist will lead AI initiatives in Life Sciences, managing client relationships, delivering AI projects, and mentoring teams to drive business value.

The AI Sales Engineer will build relationships with customers, lead product demonstrations, handle objections, and act as a domain expert in ML. Responsibilities include collaborating with sales and technical teams to create value propositions and developing educational materials about ML and MLOps.