Top Artificial Intelligence Jobs

As a Backend Engineer, you will build data pipelines for LLM applications, ensure data quality, and create observability for systems.

The Senior Integration Engineer will design, implement, and productize AI technologies, integrate workloads on Red Hat's platforms, optimize performance, and collaborate with various engineering teams and partners.

Drive end-to-end execution of new product launches across teams, define success metrics, and ensure alignment to achieve measurable outcomes.

The AI Architect will design and maintain AI solutions, establish standards, lead teams, integrate frameworks, and mentor junior staff in a large organization.

Lead the development of AI-native products for go-to-market strategies, collaborating with cross-functional teams to enhance user engagement and drive revenue growth.

Join Uplane as a founding AI engineer to develop scalable AI systems. Responsibilities include building AI models, managing databases, and ensuring product alignment with user needs.

The AI Marketing Strategist will manage client relationships, advise on digital marketing, execute projects, and implement technology solutions to enhance marketing value.

The Data & AI Senior Consultant leads implementations, mentors team members, optimizes solutions, and manages client relationships focusing on Microsoft data solutions.

The Marketing AI Operations Manager will manage marketing technology, AI agents, lead lifecycle processes, and performance analytics, driving automation and improved ROI across marketing functions.

The Principal ML/AI Threat Engineer will design and implement scalable threat intelligence systems, focusing on adapting ML models for threat detection and attribution from DNS telemetry.

The Business Analyst will support AI engagements in Federal programs, identify AI opportunities, translate business needs into technical requirements, and improve discovery processes.

The role involves leveraging data science and AI to generate business insights, develop predictive models, and mentor team members. Responsibilities include project management, deploying ML pipelines, and enhancing client solutions.

Lead AI Solutions practice at Merkle, driving strategic AI implementation for Fortune 500 clients while managing a high-performing team and establishing industry partnerships.

The Frontend Engineer will design web interfaces for AI research functions, focusing on data annotation and visualization, optimizing for efficiency.

Design and implement AI solution architectures to address Marine Corps needs. Apply ML algorithms and industry best practices, develop scalable data-processing scripts and platforms, mentor team members, and guide clients on ML tools and frameworks while operating in collaborative cross-functional teams.

Designs AI solution architecture to address business problems, uses various AI technologies, mentors employees, and works on complex challenges.

As a Generative AI Engineer, you will develop data quality models, build data pipelines, and implement security practices while mentoring junior engineers.

Lead the development of an AI-powered geospatial chat application, integrating user-focused design with complex AI insights and data visualizations.

As a Software Engineer, you will develop backend systems for an AI Geospatial Assistant, optimizing LLM applications, scaling systems, and ensuring efficient workflows while collaborating with research teams to transition AI models into production.

The AI Enablement Lead facilitates AI tool adoption across the organization, collaborates with engineering and business leaders, manages workflow rollouts, and drives organizational change in AI integration.

This role involves developing strategies for electrical hardware design, consulting on new product development, mentoring junior staff, and leading innovative projects in HPC and AI systems.

Oversee product strategies and roadmaps for HPC/AI products, guiding development from concept through lifecycle. Collaborate with stakeholders and optimize margins.

The HPC/AI Product Manager drives the strategy and operational roadmap for complex products, synthesizes market requirements, and collaborates across teams to optimize product success.

Lead a large engineering organization to develop AI-driven automation solutions for contact centers, ensuring high-quality delivery and innovation.

Lead and oversee AI Scheduler testing, developing test cases, executing automation and manual tests, and managing offshore resources while ensuring quality and collaboration with project teams.