Top Artificial Intelligence Jobs

The Lead AI Cloud Platform Engineer develops and operates Allstate's cloud application platforms, focusing on AI solutions using Azure, AWS, and Google technologies while mentoring junior team members and delivering innovative solutions.

The Vertical AI Lead will own the P&L of agent deployments, build AI agents, develop customer relationships, and originate GTM strategies, while collaborating across teams for product success.

As a Senior AI Cloud Platform Engineer, you will develop and manage cloud platforms for AI applications, utilizing GenAI engineering skills and infrastructure as code principles, while supporting operational tasks and collaborating with teams.

The Staff Software Engineer will lead the development of cloud-native AI platforms, optimizing AI workload deployment in Kubernetes environments and collaborating with cross-functional teams.

The Senior Backend Engineer will develop core functionalities for AI-driven drug discovery, collaborating with R&D and product teams, managing infrastructure, and ensuring engineering excellence.

As Lead AI Architect for the Federal sector, you will oversee AI integrations, provide technical expertise, and ensure compliance with security requirements across federal environments. Leading installations, consulting on architecture, and supporting pre-sales efforts are key responsibilities, requiring deep knowledge in systems architecture and federal regulations.

The Senior Performance Marketing Specialist will leverage AI for sales enablement, streamline workflows, and improve marketing efficiency, focusing on cross-functional collaboration and content development.

Lead engineering teams at Databricks, focusing on building AI product solutions for customers using innovative ML techniques, while managing product launches and development.

As Agentic AI Architect, you'll design AI agent ecosystems, lead architectural development, mentor engineers, and ensure solutions meet business challenges in various domains.

The AI Engineer will develop AI tools, work on LLM frameworks, optimize data pipelines, and support security assessments, requiring collaboration with various stakeholders.

Lead the design and implementation of cloud infrastructure for AI platforms, including managing MLOps pipelines and optimizing performance for operational AI solutions.

Lead critical initiatives for content readiness and compliance in AI applications. Drive strategies for content, data, and publisher infrastructure projects, collaborating across teams to design scalable solutions.

Develop and maintain AI tooling systems for space stations, focusing on frontend customizations, AI integration, and full-stack feature implementation.

As a Senior AI Engineer, you will develop AI agent systems, design workflows, collaborate with teams, and ensure system sustainability using modern tools and architectures.

As an AI Lead Engineer, you will architect and implement Generative and Agentic AI capabilities, optimize performance, and lead a team in developing scalable AI solutions while mentoring others.

The Engineer 2 will design and develop AI-driven tools for Nordstrom Technology, build scalable infrastructure using Kubernetes and AWS, and collaborate with team members to enhance engineering productivity.

Design and implement AI model deployment tools and infrastructure for embedded systems, focusing on optimization techniques and ensuring seamless transitions from model development to production on resource-constrained devices.

The role focuses on leading AI initiatives within marketing, coordinating projects, enhancing operational efficiency, and presenting strategic updates to senior executives.

AI Technical Lead position focused on designing and developing AI systems and agent platforms, guiding engineering strategies for data-driven products.

Lead data science and AI execution across the Workplace Solutions business, focusing on analytics, machine learning, and partnerships to drive business growth and enhance user experience.

Lead the design and deployment of RL post-training systems, aligning model behavior with user value and business objectives, while mentoring applied scientists and engineers.

As a Principal Machine Learning Engineer, you will develop multimodal AI experiences, design agent interactions, and lead cross-team initiatives while ensuring AI safety and reliability.

Design and deploy machine learning models for personalized recommendations and search on Zillow's platforms. Collaborate with cross-functional teams to enhance user experience.

The Staff Engineer will develop and implement AI systems, mentor engineers, and enhance workflows using Generative AI, focusing on scalability and reliability.

The Staff Research Scientist will define research directions in AI and LLMs, develop models and systems for autonomous decision-making, and lead efforts to translate research into impactful solutions while mentoring team members.