Top AI Engineer Jobs

The Principal AI Engineer designs and implements AI systems to solve business challenges, focusing on advanced analytics and collaboration with teams, while ensuring compliance and managing risks.

Lead the design and evaluation of conversational AI systems from data preparation to model deployment, focusing on transforming unstructured conversations into actionable insights.

Lead design and evaluation of applied AI systems for conversational intelligence. Responsibilities include model architecture, evaluation frameworks, and collaboration with cross-functional teams.

As a Lead Software Engineer, you'll design and develop GenAI platforms, integrate LLMs, mentor engineers, and solve technical challenges for scalable solutions.

The Lead Software QA Engineer will integrate quality into the AI-first engineering workflow, enhancing developer behavior towards reliability and efficiency. Responsibilities include building automated testing systems, defining production standards, collaborating with Sales and Product, and ensuring data integrity and usability.

The Lead Data & AI Security Engineer will integrate security into data-driven and AI solutions, collaborating with technology and business teams to ensure security best practices. Responsibilities include risk guidance, security enablement, collaboration with security officers, oversight of security governance, and continuous improvement of security practices in alignment with regulatory requirements.

The role involves orchestrating AI services, optimizing model inference, ensuring reliability and standardization, and collaborating with AI researchers on deployments.

The Staff AI Engineer will design and build AI systems for healthcare, focusing on agentic behavior, coordination, and workflow execution, while mentoring engineers and ensuring system reliability.

The Senior AI Engineer will design and build architectures for AI systems, translate healthcare processes into AI solutions, and ensure operational reliability while partnering with domain experts.

As a Principal AI Engineer, you'll design AI systems for healthcare, collaborate with cross-functional teams, and enhance care delivery workflows.

The Staff AI Engineer will analyze AI quality, implement improvements, manage projects, collaborate with teams, and shape AI capabilities in a remote-first environment.

Design and maintain full stack applications, integrate AI workflows, provide technical leadership, and ensure system quality through automated testing and collaboration.

As a Senior Engineer 2, you'll lead the design and delivery of high-scale AI Inference services, optimizing performance and mentoring junior engineers in a collaborative environment.

Develop tools for campaign simulation and creative intelligence. Build infrastructure for experimentation and screen capture, enabling data-driven decision-making. Focus on user capabilities over internal systems.

Lead the design and implementation of AI/ML platforms at Optum, collaborating with various stakeholders to deliver scalable solutions that improve healthcare outcomes.

Lead the design, development, and deployment of AI software components while partnering with engineers and scientists to deliver innovative AI solutions at Capital One.

The AI Engineer will develop AI-driven systems, maintain backend services, and support AI applications integration with grid data platforms.

As an Applied AI Engineer, you'll build AI workflows for SEO, design LLM systems, and optimize operational quality, collaborating closely with a team.

Design and develop AI systems for personalized travel and concierge services, focusing on integration and optimization of various technologies.

The GTM Engineer will design and deploy AI agents to automate marketing workflows, optimize campaigns, and enhance operational efficiency, collaborating with marketing teams to understand needs and prioritize solutions.

The Senior AI Engineer role involves deploying AI solutions to extract structured data from medical charts, improving efficiency and ensuring compliance. Responsibilities include developing AI extraction pipelines, maintaining AI model production, and collaborating with cross-functional teams to integrate AI solutions into healthcare systems.

The AI Engineer will develop and deploy AI agents for financial applications, enhance LLM capabilities, and integrate with cross-functional teams.

The AI Engineer will design, build, and scale autonomous AI agents, optimizing LLM capabilities and integrating them into the product, ensuring functionality across financial services.

The AI Engineer will design, build, and deploy scalable AI agents, focusing on enhancing a WhatsApp-based platform while integrating sophisticated systems for diverse functions.

The AI Engineer will design, build, and scale autonomous AI agents for the WhatsApp platform, integrating AI into financial services for Latin immigrants. Responsibilities include development of AI agents, integration, evaluation of LLMs, and prompt engineering.