Browse and apply for latest Remote Jobs and work remotely as a AI Developer, Artifical Intelligence Engineer with skills such as ai, machine learning, artifical intelligence for Lead, Senior and Junior roles full-time, part-time, contract or freelance. Work from home or any place around the world.
Trusted by 200,000+ remote workers worldwide.
You will lead the transformation of the Global Risk Management organization by transitioning manual processes into an AI-native operating model. This involves partnering with cross-functional teams to design intelligent agent workflows while ensuring robust risk management and governance.
The Data Management Analyst monitors and reconciles DenialsAI account data to ensure complete case creation and progression. They are responsible for building dashboards, identifying data discrepancies, and communicating operational gaps to stakeholders.
You will contribute to the backend development of 3D AutoReview features, including pipeline architecture and geometry parsing. You will also collaborate with cross-functional teams to integrate machine learning intelligence into 3D design review workflows.
The Business Development Manager will drive revenue growth for business applications and AI automation products by executing sales strategies and building partner relationships. They will also manage forecasting, KPI reporting, and collaborate with cross-functional teams to deliver solutions.
You will build capabilities to discover AI agents across cloud platforms and endpoints while assessing their security posture. You will also integrate these findings into the identity and attribution layer to ensure proper governance.
We watch for new "ai" jobs and email you the matches. Free. Unsubscribe in one click.
Design and build autonomous AI agents capable of tool use, memory, and complex multi-step task execution. Develop scalable backend services and observability frameworks to ensure reliability, performance, and quality of AI systems.
The role leads enterprise-wide procurement systems, digital transformation, and AI-driven initiatives to drive operational efficiency and scalable automation. It serves as a bridge between business stakeholders and technology teams to design, implement, and govern innovative procurement solutions.
Review, edit, and refine AI-generated content while developing prompts to optimize model performance. Conduct rubric-based evaluations and perform independent research to ensure data accuracy and quality.
You will craft beautiful interfaces and interactions for Restream web services while collaborating with designers to build user-friendly UI/UX. Additionally, you will develop business logic, maintain system reliability, and participate in code reviews within a small, focused engineering team.
Design, develop, and deploy production-ready Agentic AI and GenAI services while building scalable APIs and microservices. Collaborate with cross-functional teams to translate business requirements into robust AI solutions and maintain high-quality code standards.
Lead and manage a high-performing engineering team to build and scale financial products while ensuring technical excellence and rapid delivery. Drive technical architecture, set engineering standards, and foster a culture of ownership and continuous improvement.
You will lead the end-to-end development of AI-powered products, from initial research and prototyping to scaling and performance optimization. You will also integrate LLM features and use data-driven insights to improve conversion rates and user experience.
Implement and maintain end-to-end AI solutions, focusing on the scalability of LLM pipelines and agentic workflows. Collaborate with product and data teams to integrate production-grade APIs and optimize system performance using evaluation-driven development.
Lead client discovery and translate operational needs into technical solutions using agentic AI and knowledge graph architectures. Coordinate across engineering, product, and PMO teams to manage the full lifecycle of client implementations and feature development.
You will define the product vision, strategy, and roadmap for the Zeely AI Agent while building end-to-end agentic workflows. Additionally, you will analyze user behavior, run experiments, and collaborate with cross-functional teams to drive adoption and retention.
Design, build, and maintain automation solutions using the Microsoft Power Platform and integrate them with MSP operational tools. Develop AI-enabled workflows using large language models to improve operational efficiency and decision support.
The Strategic Account Executive will drive growth by acquiring new strategic logos and embedding Check Point security solutions into foundational AI and cloud architectures. They will manage complex multi-stakeholder negotiations and coordinate cross-functional teams to deliver high-impact outcomes across the European market.
We watch for new "ai" jobs and email you the matches. Free. Unsubscribe in one click.
Design, implement, and evaluate model-based reinforcement learning agents and planning-based controllers for industrial control systems. Develop learned dynamics and world models while mentoring research engineers to translate research into practical production outcomes.
You will build and maintain MCP servers, tool definitions, and context management capabilities while designing intent evaluation and routing workflows. You are also responsible for integrating LLM models into production and developing frameworks to validate model quality and performance.
The Senior Director will own the end-to-end strategy for advertising operations and AI enablement, including tag management, ad trafficking, and reporting integrity. They will also lead the selection and implementation of the ad-tech stack while partnering with cross-functional teams to ensure scalable and governed data architecture.
The Forward Deployed Engineer will design, build, and deploy production-grade agentic AI applications while providing technical advisory services to clients. This role involves writing production Python code, optimizing model performance, and ensuring secure AI integration within customer environments.
You will guide organizations through data modernization and AI journeys by leading architectural design sessions and production deployments on Microsoft Azure. The role involves collaborating with customers to ensure secure, scalable, and AI-ready solutions while driving business value and consumption.
You will architect and deploy agentic AI workflows and automated data pipelines to optimize gross margins, reduce fraud, and improve network quality. Additionally, you will collaborate cross-functionally to translate business needs into scalable data products and actionable insights.
Lead a team of Technical Architects and Program Managers to enable field teams and partners in delivering AI application and agent solutions. Drive the development of repeatable IP assets and serve as an executive sponsor for strategic customers to accelerate their AI transformation.
The AI Capacity Operations Manager drives the strategy, execution, and governance of AI model capacity programs across Microsoft platforms. This role acts as a central point of coordination between Engineering, Finance, and Product teams to ensure scalable and efficient AI infrastructure deployment.
The role involves participating in a paid training and certification program focused on AI, Machine Learning, Cybersecurity, and GRC. Participants will engage in real-world project work and internships to prepare for remote job placements.
We watch for new "ai" jobs and email you the matches. Free. Unsubscribe in one click.
You will own the infrastructure and platform engineering for a shared enterprise AI Hub used by over 55 portfolio companies. This includes managing integrations, deployment tooling, release qualification, and providing technical guidance to local AI Champions.
The Senior Manager will lead GTM integration workstreams for acquired SaaS businesses and develop strategic programs to drive operational efficiency. They will also partner with senior leadership to provide data-informed insights and build executive-ready materials to influence business decisions.
Design and build AI-powered features such as natural language interfaces and intelligent assistants for a digital banking platform. Collaborate with cross-functional teams to integrate LLMs into production systems while ensuring compliance with financial regulations.
Design, build, and operate internal AI agent systems to support sales and marketing workflows. Collaborate with cross-functional teams to translate business needs into technical requirements and maintain reliable production AI services.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Learn more about Software Development remote jobs
