Top Artificial Intelligence Jobs

The Solutions Engineer partners with various teams to capture requirements, manage agile backlogs, design solutions, and enhance workflows through iterative improvements.

The AI Specialist will leverage AI to enhance talent management strategies by designing and implementing AI solutions, collaborating cross-functionally, and improving AI tools.

Responsible for the strategy and execution of ISV partnerships to drive revenue growth, market expansion, and platform adoption, while collaborating with various internal teams and engaging executive stakeholders.

The Senior Technical Evangelist will drive Cyara's AI Trust leadership, translating complex AI technologies for developers, engaging with the technical community, and influencing product direction.

As a Consulting Systems Engineer, you will lead technical pre-sales, design AI and data solutions, and engage with customers to define integrated technology solutions.

Lead the definition and rollout of AI-powered product features, collaborating with teams to enhance fraud prevention solutions.

Lead the design of generative AI solutions and multi-cloud architectures, translating business use-cases into scalable systems for enterprise deployments.

As an AI/ML Engineer, you will design, train, and deploy ML models for flight data analysis, providing actionable performance feedback for pilots.

The Enterprise Account Executive will manage the full sales cycle for Threekit's AI platform, focusing on enterprise manufacturers, collaborating closely with leadership and cross-functional teams to ensure customer success.

The Lead Software Engineer will develop and deliver AI-driven claims workflows using Python and Google Cloud, focusing on automation and system optimization.

The Agentic AI Lead will design AI-first processes, lead innovation projects, drive cultural change, and partner with leaders to transform operations at Tilt.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

The Director of Product Management will lead strategy for site performance, SEO, and AI-driven search experiences, managing product lifecycles and cross-functional initiatives.

As an AI Engineer, you will enhance backend systems for agentic AI features, design and deploy multi-agent systems, and manage state and context workflows.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Develop and deploy innovative AI systems to enhance Factory's core capabilities, integrating research findings into practical solutions and addressing scalability challenges.

As an AI Platform/System Storage Intern, assist in defining strategies for AI platforms/systems, research implementations, analyze trends, and summarize findings.

Responsible for owning and executing digital demand generation strategy, leading multi-channel initiatives, optimizing campaigns, and driving revenue growth through analytics and cross-functional collaboration.

The role involves developing AI/ML models to predict organoid growth and optimizing differentiation protocols through computational methods, collaborating with experimental teams.

Develop advanced AI/ML approaches to integrate multi-omics datasets for organoid characterization. Create predictive models and tools for quality assessment while collaborating with research teams.

As a Solution Architect II, you'll design AI-driven solutions, collaborate with interdisciplinary teams, and ensure robust cloud and data architectures while influencing AI and cloud infrastructure strategies.

The Data Engineer III role involves designing and building scalable data pipelines on Azure Databricks, migrating legacy systems, and ensuring compliance with financial regulations, while mentoring others and producing technical documentation.

Design and implement AI-powered automation systems, build scalable backend services, make architectural decisions, and collaborate with product and data teams.

Translate scripts into cinematic short films using AI production tools; select and refine generated footage; shape pacing and emotional continuity; build cohesive edits from script to final cut; provide creative feedback and balance ambition with practical execution.

The Associate Director leads AI and data science projects in Pharma R&D, developing AI solutions, guiding cross-functional teams, and ensuring effective AI product strategies. Responsibilities include implementing AI models, managing data-driven decision making, and overseeing AI ecosystem capabilities, while maintaining a focus on regulatory compliance and user-centric design.