Top Artificial Intelligence Jobs

As a Platform Engineer, you will design and maintain infrastructure, deploy Unstructured AI applications in cloud environments, automate product updates, and ensure reliability.

As a Senior Software Engineer, you will design and implement scalable AI infrastructure, collaborate with teams, and ensure high performance for AI services.

This role involves leading the design and implementation of scalable AI services, optimizing performance for millions of API requests, and collaborating with various teams to influence AI platform development.

Lead a design team focused on AI UX/UI. Responsibilities include managing designers, collaborating on product experiences, conducting user research, and driving design processes.

Lead and scale a team of engineers building AI inference platforms, manage core AI service development, and drive execution on AI roadmap.

The role involves ensuring reliability of AI-optimized cloud services, focusing on design, automation, and performance for AI workloads.

Lead the design and implementation of AI services. Build scalable infrastructure for handling AI requests and collaborate across teams to shape future AI products.

The Technical Talent Partner will recruit top technical talent for portfolio companies, build relationships, and provide strategic guidance on talent acquisition.

Lead the vision and roadmap for the Core AI Platform. Oversee model lifecycle, inference performance, compliance, and cross-team alignment for AI products. Collaborate with engineering and product teams to drive measurable outcomes and platform adoption.

Lead and execute growth strategies across the user lifecycle, utilizing data, AI, and creative experimentation to drive user acquisition, retention, and monetization.

Drive go-to-market strategy for AI products, conduct market research, develop product messaging and positioning, and enable sales teams for success.

Lead the development of AI solutions and data engineering strategies. Implement AI data pipelines, collaborate with teams, and ensure the reliability of data systems.

Lead the development of AI data pipelines, improve data capabilities, integrate AI solutions, mentor team members, and ensure operational efficiency.

Lead the development and implementation of AI and ML solutions, transforming prototypes into scalable products while managing a team of specialists and driving technical strategy.

The Principal AI Product Manager drives AI-driven product innovation, managing the roadmap, prototyping solutions, and collaborating with teams to launch AI capabilities.

The Head of GTM for Big Tech, AI & Startups will lead Socure's commercial growth in technology sectors, driving sales strategies, mentoring teams, and fostering client relationships.

You will build frameworks for LLM-powered agents, design reinforcement learning approaches, lead development of scalable evaluation systems, and mentor other engineers while writing robust code for enterprise-grade assistants.

The AI Data Engineer evaluates and validates AI agent output, creates datasets for testing, implements evaluation automation, and communicates technical findings to stakeholders.

Responsible for ensuring the quality of Veeva AI Agents through evaluation and validation methodologies. Tasks involve creating test datasets, developing evaluation pipelines, analyzing model behavior, and communicating results to teams.

The role involves ensuring the reliability of Veeva AI Agents through validation, creating test datasets, automated evaluations, and root cause analysis.

The role involves evaluating AI data integrity, creating high-quality datasets, automating evaluation pipelines, and communicating performance metrics to product teams.

As an AI Data Engineer, ensure the reliability and accuracy of AI Agents through systematic evaluation and validation, utilizing strong analytical skills and data quality principles.

The AI Data Engineer ensures the quality and reliability of AI Agents through rigorous evaluation, data integrity assessment, and automation of evaluation pipelines, while communicating findings to technical teams.

Design, develop, and maintain full stack applications, integrate AI/ML models, and ensure code quality and performance.

As Staff Software Engineer at Twilio Stytch, you'll build and maintain scalable identity platforms, collaborating with leadership and mentoring engineers while ensuring security and performance.