Top Artificial Intelligence Jobs

Build AI-powered features for managing engineering requirements, integrate language models, and maintain infrastructure while collaborating with product teams.

The Data & AI Architect designs scalable data pipelines using AWS and Python, leading projects to convert raw data into actionable insights while collaborating with clients and teams.

As a Product Engineer II, you will help develop and maintain AI frameworks and services in ArcGIS Enterprise, ensuring high-quality software through collaboration, testing, and troubleshooting.

As a Solutions Architect for Applied AI, you'll collaborate with sales, product, and engineering teams to guide enterprise customers through the adoption of Claude AI, ensuring successful integration into their technology stacks and addressing complex business challenges with innovative AI solutions.

The Senior Performance Engineer will drive performance and scalability of distributed inference for LLMs, develop benchmarking tools, collaborate with engineering teams, triage customer issues, and publish findings.

As a Senior Vice President at AlixPartners, you will lead complex projects focusing on performance improvement, data analysis, and machine learning applications to enhance business outcomes.

As the Director of AI & Machine Learning, you will lead data projects, enhance corporate performance, and analyze complex data to drive business improvements and client engagements.

Design and build secure, scalable systems as a Full-Stack Software Engineer, leveraging expertise in Next.js, TypeScript, PostgreSQL, and AI tools to enhance cybersecurity within global infrastructure.

The AI Enablement Program Lead will drive the adoption and education of AI tools across the company, designing workshops, managing vendor relationships, and defining success metrics for AI tools.

Lead the design and delivery of AI/ML platforms, focusing on architecture, MLOps, and automation using Azure, while mentoring teams and driving AI solutions.

Develop and enhance visuomotor manipulation policies for humanoid robots, focusing on real-world deployment and integration with other systems.

The AI Strategy Lead will solve challenges for university partners using AI and data, build relationships, and monitor outcomes.

The job involves full-cycle recruiting for technical and product roles, utilizing sourcing tools, scheduling interviews, and collaborating with hiring managers.

The AI Automation Engineer will develop scalable automation and integration solutions across various SaaS platforms, focusing on AI workflows, security, and data integrity.

The Senior Product Marketing Manager, AI will lead product marketing for AI capabilities at Circle, focusing on messaging, adoption strategies, and customer education.

As a Technical Solutions Architect III for AI Ops, you will drive advanced AIOps solutions, consult with IT groups, and deliver technical guidance to enhance system reliability and performance.

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.

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

The AI Engineer role involves designing and scaling AI agents, integrating them into product infrastructure, and leading technical practices, focusing on real-world applications and performance optimization.

The Staff AI Software Engineer is responsible for designing and enhancing software for AI agents, conducting system evaluations, mentoring developers, and driving technical decisions.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

Own the full ML lifecycle for ads bidding stack, developing models for auction optimization and collaborating with a team to enhance platform effectiveness.

As an AI Engineer, you will develop and optimize AI solutions, mentor team members, and collaborate on projects while ensuring system scalability and reliability.