Top Artificial Intelligence Jobs

Responsible for leading Data Center and Routing network sales, driving proactive campaigns, building relationships with clients, and closing complex sales opportunities. Requires extensive experience and expertise in networking solutions.

The Director of AI Marketing at CentralReach will define and execute go-to-market strategies for AI capabilities, translating complex technology into customer value while ensuring cohesive messaging across products and driving adoption initiatives.

The Director of AI Product Development will lead AI application engineering, mentor teams, establish development standards, and integrate AI features into platforms.

This is a beginner-friendly, hands-on project program where participants learn AI and automation by building real workflows and tools using n8n with guided support.

Lead the design and build of advanced generative AI systems and ensure high engineering standards, mentoring engineers and transforming conceptual ideas into high-quality, testable production systems.

The AI Product Manager II will shape AI capabilities, validate solutions, guide product delivery, engage with customers, and ensure alignment with business objectives.

The role involves leading strategic transformations in manufacturing using AI technologies, working closely with clients to define solutions, manage projects, and enhance user experience.

As a Staff NLP Scientist, you will solve complex medical document understanding problems using NLP and Computer Vision, optimizing models for performance and scalability.

The NLP Scientist will solve complex medical document understanding problems using NLP and CV methodologies, optimize models for performance, and make data-driven decisions.

The Managing Partner will lead enterprise sales, managing multi-million dollar pipelines and fostering strategic partnerships with AI labs and Fortune 500 clients.

The Director of AI & Automation will strategize and implement AI, automation, and machine learning initiatives, improving operational efficiency and user experiences.

The Director of AI & Automation leads the development and execution of AI strategies, manages automation initiatives, and ensures compliance in a healthcare-affected environment to enhance operational efficiency at GT Independence.

The Director of AI & Automation leads GT's enterprise-wide AI and automation strategy, driving initiatives to enhance operational efficiency and improve service delivery in a regulated environment.

As a Software Engineer, Applied AI, you'll design and improve systems for agents, conduct evaluations, and influence product decisions based on real usage data.

The Principal AI Forward Deployed Engineer will develop, deploy, and operationalize AI applications by collaborating with business units, translating complex problems into solutions, and ensuring delivery meets performance and reliability standards.

As an AI Integration Lead, you'll bridge civil engineering and AI, oversee AI model integration, validate outputs, and improve data quality alongside cross-functional teams.

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

The Agentic AI Outcomes Engineer will design and implement AI workflows for enterprise clients, focusing on autonomy and ROI while collaborating with various teams.

The Lead AI Cloud Platform Engineer develops and operates Allstate's cloud application platforms, focusing on AI solutions using Azure, AWS, and Google technologies while mentoring junior team members and delivering innovative solutions.

The Vertical AI Lead will own the P&L of agent deployments, build AI agents, develop customer relationships, and originate GTM strategies, while collaborating across teams for product success.

As a Senior AI Cloud Platform Engineer, you will develop and manage cloud platforms for AI applications, utilizing GenAI engineering skills and infrastructure as code principles, while supporting operational tasks and collaborating with teams.

The Staff Software Engineer will lead the development of cloud-native AI platforms, optimizing AI workload deployment in Kubernetes environments and collaborating with cross-functional teams.

The Senior Backend Engineer will develop core functionalities for AI-driven drug discovery, collaborating with R&D and product teams, managing infrastructure, and ensuring engineering excellence.

The Senior Performance Marketing Specialist will leverage AI for sales enablement, streamline workflows, and improve marketing efficiency, focusing on cross-functional collaboration and content development.

As Lead AI Architect for the Federal sector, you will oversee AI integrations, provide technical expertise, and ensure compliance with security requirements across federal environments. Leading installations, consulting on architecture, and supporting pre-sales efforts are key responsibilities, requiring deep knowledge in systems architecture and federal regulations.