Top Artificial Intelligence Jobs

Lead AI strategy and engineering for AI/ML systems, develop intelligent solutions for real estate, and ensure compliance with AI governance standards.

Lead the design and development of enterprise AI platforms, focusing on architecture, scalability, and integrating with cloud infrastructures. Oversee software lifecycle from concept to deployment while ensuring performance and reliability. Mentor teams and stay updated on AI trends.

The Manager, CS AI Content will design and maintain AI-driven content for customer support, improving performance through structured dialogue and APIs.

The Manager, CS AI Content will develop AI-driven content for customer support tools, ensuring accurate responses and efficient workflows through APIs and structured content design.

The Principal Architect will define and evaluate memory solutions for AI workloads, perform workload-driven analysis, and develop architectural strategies to optimize performance and efficiency in AI infrastructure.

As a Software Engineer on ZipX, you will design and build AI-native products, create scalable APIs, and develop intelligent workflows for enterprise procurement, while working closely with AI technologies.

Lead AI and engineering efficiency initiatives, integrating cutting-edge technologies into engineering processes, while promoting innovation and continuous improvement.

Lead the evolution of AI-native product development at MasterControl by designing AI-enabled workflows, optimizing product operations, and driving AI adoption across teams.

As a System Software Engineer, you will design communication primitives for AI models, optimize performance for training workloads, and benchmark performance on clusters.

Manage the GSmart AI platform by designing and operating the production AI middleware for Ripple Treasury. Lead and develop a team, build evaluation frameworks, and ensure compliance with AI governance. Collaborate with domain experts and advocate for generative AI solutions.

Develop and maintain software for an on-robot autonomy stack, applying AI and machine learning for navigation and controls in a real-world robotics setting.

The AI Full Stack Developer will create technical solutions, support various environments, and ensure integration and delivery automation while leveraging data for improvements.

Interns will gain practical experience with AI/ML projects, mentorship from senior data scientists, and contribute to impactful solutions for clients.

Develop, enhance, and maintain applications using Python and SQL within an AI/ML pipeline while leading infrastructure changes and supporting deployments.

Responsible for designing, building, deploying, and maintaining production-grade AI and ML solutions in a cloud-native environment, while collaborating with engineering and data teams.

The Conversational AI Bot Architect leads the design and implementation of AI self-service solutions, working closely with clients and project teams.

The Senior Solution Architect will partner with sales, lead technical discovery and proof-of-concept engagements, and serve as a trusted advisor to clients, focusing on AI and Kubernetes infrastructure solutions.

The Lead Product Engineer will design and develop cloud-native applications using .NET and C#, lead Azure migrations, and mentor junior engineers in an AI-enhanced development environment.

As a Senior Software Engineer, you'll architect and build software systems for AI-enhanced robotic solutions, ensuring efficient deployment and integration in real-world settings. You'll leverage AI tools to enhance productivity, work collaboratively with engineering teams, and gain firsthand experience seeing your contributions in action.

Lead engineering strategy for AI data centers; oversee design, construction, and operational readiness; build high-performing technical teams.

As an AI Software Engineer, you will develop user-focused AI solutions, optimize systems, and enhance client decision-making processes with machine learning technologies.

Lead the Customer Zero strategy, drive AI innovations, bridge internal innovations to product strategy, and collaborate across executive leadership to ensure alignment with Snowflake's product direction.

The AI Deployment Specialist drives sales of AI solutions, ensuring customer adoption and success through tailored strategies, collaboration, and comprehensive analysis.

As a Technical Product Manager, you will define product strategy, drive requirements, collaborate with teams, and enhance platform performance for enterprise clients.

The AI Strategist role involves partnering with sales teams, assessing AI project viability, facilitating meetings, and leading discussions with clients to deliver tailored AI solutions that align with business objectives.