Top Artificial Intelligence Jobs

Design and oversee secure cloud and data platform solutions for analytics, leading technical initiatives across cloud infrastructure and data engineering.

The role involves executing digital acquisition strategies, optimizing SEO, paid search, and AI-driven discovery platforms to enhance visibility and conversion rates. Key responsibilities include managing campaigns, collaborating with teams, and staying updated on industry trends.

The Staff Salesforce Technical Architect will design scalable Salesforce solutions, lead integrations, establish best practices, optimize performance, and collaborate with stakeholders for the Go-To-Market teams.

The Operations Lead will manage operational support for a hybrid AI and data environment, oversee compliance, and implement efficiencies.

As an AI Engineer at Pereview Software, you will design and enhance AI applications, manage data extraction workflows, and integrate AI technologies to improve business operations in commercial real estate.

The AI/ML Software Developer will design, develop, and maintain AI applications, collaborate with teams, solve problems, and manage software debugging and documentation tasks.

The Applied AI Researcher will design experiments, build ML pipelines, conduct AI research, and collaborate to deploy solutions in a GenAI platform.

The Staff Applied AI Researcher will lead research on agentic reasoning systems, architect infrastructure for AI agents, and develop evaluation methodologies, ensuring reliability for enterprise applications.

Lead research and development of domain-specific AI models, driving evaluation, training, and strategic direction while mentoring researchers and influencing platform-level decisions.

Lead research projects in applied AI, focusing on model training, reinforcement learning, and multimodal understanding, while mentoring team members and optimizing workflows.

Lead research on agentic reasoning systems for AI applications, develop evaluation methodologies, and mentor researchers while maintaining hands-on contributions in autonomous systems.

Lead a team to deliver AI/ML solutions, manage projects, ensure compliance, mentor staff, and collaborate with business stakeholders.

The Solutions Engineer will drive the adoption of AI-powered solutions in the electric utility sector, providing technical consulting and customer enablement. Responsibilities include gathering requirements, architecting solutions, leading RFI/RFP processes, and delivering training. Extensive travel is required for client engagement.

The Cybersecurity AI Architect collaborates with cross-functional teams to design secure AI solutions, guides architecture governance, and promotes AI integration in cybersecurity.

Design, build, and deploy production-grade generative AI features (RAG, embeddings, vector search, agents) for healthcare applications. Implement backend APIs, integrate AI into front-end interfaces, ensure HIPAA-compliant data handling, and establish evaluation, monitoring, and guardrails for safe, reliable AI in clinical and member-facing systems.

The Associate Director, AI/ML Engineering will lead the development and deployment of AI solutions, manage multi-agent systems, and collaborate across functions to optimize AI/ML processes within a biopharmaceutical context.

The AI Product Owner Leader will define the vision and roadmap for AI products, prioritize use cases, and coordinate with business and IT teams to deliver impactful AI solutions in global operations.

Drive the architecture, design, implementation, and evaluation of AI systems and data platforms while mentoring teams and contributing to technical strategies.

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

The AI-Native Data Platform Engineer will design data foundations for AI systems in wealth management, architecting data pipelines, models, and frameworks to enable autonomous financial agents.

The Engineering Manager drives architecture and design for AI systems, mentors teams, and plans technical roadmaps for the Map AI Platform.

The AI Engineer will develop and deploy large language models, build infrastructure for high-throughput AI systems, and collaborate with product teams to integrate AI capabilities.

As a Senior Software Engineer for AI Applications, you'll develop AI-native features, own backend systems, and ensure performance and safety in AI workflows.

As an AI Researcher, you will develop novel architectures and optimizations in machine learning, collaborating with teams to enhance open models and ensuring cutting-edge research practices.

The Staff Level AI Engineer will innovate applied AI methods, enhance user experience through AI, and architect AI infrastructure for a SaaS platform, collaborating across product and engineering teams to drive business value.