Top Artificial Intelligence Jobs

The AI Robotics Researcher will conduct research in embodied AI, robotic manipulation, and world modeling, developing models and algorithms for dexterous robotic systems while collaborating to translate research into practical implementations.

As a Senior Product Manager for AI Studio, you will lead AI product strategy, oversee client-facing programs, manage experimentation operations, and collaborate with technical teams to build scalable AI solutions.

The Integration Engineer will build enterprise integrations for AI platforms with Microsoft Graph, focusing on API integration, security, and performance optimization.

The Integration Engineer develops enterprise integrations for AI systems using Microsoft Graph API, ensuring secure authentication and data flows while collaborating with senior engineers for production code implementation.

The Sr GenAI Data Engineer will design and implement AI-driven data solutions, improving data capabilities and integrating with enterprise systems while mentoring junior team members.

The AI-Enabled Cybersecurity Intern will support the development of a chatbot for information security policies and provide guidance on cybersecurity practices, requiring collaboration with various teams and technical skills in AI and cybersecurity.

Lead technical strategy for Physical AI and robotics, engaging with customers to solve complex challenges and support platform development. Drive internal alignment across teams and develop solutions for enterprise needs.

Lead AI product strategy for a global SaaS portfolio, manage lifecycle of AI solutions, collaborate with teams, and ensure compliance with ethical standards.

As an AI Solutions Manager, you'll nurture AI/ML customer relationships, drive product adoption, and ensure client success through tailored solutions and account management.

Design and maintain full-stack applications, integrate generative AI, optimize performance, and contribute to SDLC phases. Support production deployments and enhance application reliability.

The Vice President, Employee Technology & AI will lead strategy and initiatives to enhance workplace technologies, promote AI adoption, and optimize employee experiences through collaboration and productivity tools.

The role involves developing ML technologies using large language models, optimizing workflows, and collaborating with cross-functional teams to deliver impactful solutions.

Develop and deploy AI tools for the federal government, focusing on software engineering solutions, data quality automation, and team mentorship.

The Senior Software Engineer will develop backend services and AI tools, ensuring quality and scalability, while mentoring junior engineers and collaborating with teams.

The AI Composer will use AI coding assistants to enhance software engineering initiatives, mentor engineers, and develop guidelines for AI tool usage while contributing to team codebases.

Develop and optimize prompts for LLMs, collaborate with experts, and integrate solutions within software applications, contributing to knowledge sharing.

The Lead Engineer will collaborate with experts to create and optimize LLM prompts, integrate solutions into applications, and develop a scalable prompt engineering framework.

The Senior Counsel, Privacy & AI advises on compliance with privacy and AI laws, supports product teams, and develops privacy policies while managing risk and stakeholder communications.

The Account Executive will focus on selling cybersecurity services to enterprise clients, developing business strategies, and managing relationships with C-level executives.

The Director of AI and Data Strategy at Mark43 will define and execute data and AI strategies, build scalable data infrastructure, and mentor teams, driving data-driven decision-making across the company.

Design and implement AI solutions on Azure, collaborating with stakeholders and adopting automated delivery tooling for business needs. Lead teams and strategy, ensuring security and compliance in architectures.

As a Principal Software Engineer, you'll lead end-to-end architecture and development of microservices, mentor team members, and innovate within the Order Management Systems.

The AI Deployment Manager will lead technical enablement and adoption of OpenAI's products, ensuring customer success through training, workshops, and collaboration with internal teams.

The AI Deployment Manager will lead technical enablement and adoption of OpenAI products, deliver training, and drive customer engagement to ensure successful usage and measurable business value.

The role involves building AI-powered workflows, creating demos, prompt engineering at scale, and developing internal tools to support sales and marketing efforts.