Top Artificial Intelligence Jobs

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.

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.

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

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.

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.

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.

The Full Stack Developer will implement OpenAI and GPT-3 tools to develop processes for creating content and editing media for podcasts.

As a Senior Applied AI Engineer at Vanta, you'll design and implement AI-powered features, mentor engineers, and ensure AI systems improve customer experience, leveraging LLMs and full-stack development skills.

Develop and integrate AI solutions for government customers, focusing on machine learning and deep learning technologies. Collaborate with teams and mentor juniors while providing technical reports.

The AI / ML Solutions Engineer will implement and scale machine learning workloads using Ray, advise customers on ML architecture, and enable MLOps teams through technical guidance and support.

As a Staff Data Scientist II, you'll develop AI-driven monetization strategies and lead the design of scalable machine learning systems, collaborating across teams to innovate ad technology.

The Head of Data & AI Enablement drives the enterprise data strategy, overseeing governance, analytics, and AI initiatives to enhance organizational decision-making.

The Sales Manager is responsible for leading, coaching, and driving sales teams to exceed targets, collaborating across departments, and ensuring professional growth.

Design, develop, and maintain full stack applications, integrate AI/ML models, and ensure code quality and performance.