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.
Design and deploy AI-powered features and LLM tools to personalize medical education within the VSTAR platform. Build and maintain ML pipelines in Databricks while collaborating with educational leadership to implement AI strategies.
The role focuses on bridging insurance domain expertise with AI engineering to redesign workflows and implement AI-enabled transformation solutions. Responsibilities include leading client engagements, mapping current-state insurance processes, and co-designing practical AI prototypes and roadmaps.
Provide support for proposals specifically related to Artificial Intelligence initiatives. Collaborate across various levels of the organization to deliver actionable insights for middle-market business clients.
The role involves providing operational support in the field of artificial intelligence within practice operations. It requires collaboration with various teams to enhance service delivery and client satisfaction.
Develop document-processing pipelines and autonomous AI agents using LLMs and agentic workflows. Build and optimize Python microservices for document ingestion, classification, and extraction while ensuring system reliability and cost-efficiency.
We watch for new "artificial intelligence" jobs and email you the matches. Free. Unsubscribe in one click.
The CTO will define the long-term technical architecture for AI systems and infrastructure while building a global engineering organization from the ground up. They will lead technical execution, establish engineering standards, and align workstreams across product and research teams.
Drive engineering execution by structuring workstreams and ensuring the consistent delivery of product and technical directions. Lead global engineering hiring and provide technical guidance on system architecture and design choices.
Own the core application architecture and engineering strategy across backend, mobile, and desktop platforms. Lead a senior engineering team to integrate AI capabilities into production-grade product workflows with a focus on reliability and scalability.
The role involves defining end-to-end AI system requirements and translating model capabilities into product decisions. The manager will collaborate with engineers to balance quality, latency, and cost while owning the overall product quality and user trust.
Lead the engineering strategy and execution to transform Machine Learning capabilities into reliable user experiences across backend, mobile, and desktop platforms. Manage a senior applications team while setting the architectural direction for AI-powered workflows and APIs.
The VP of Research will lead the intelligence direction of the system, defining how AI reasons, evaluates, and improves. They will oversee model architecture decisions, evaluation frameworks, and the overall alignment and safety strategy.
Build end-to-end product features and design agent workflows that handle planning, tool use, and recovery. Integrate LLMs and external tools to create reliable, production-grade AI systems with low latency.
Build and improve core ML components across data, training, evaluation, and inference for real production systems. Debug model issues and iterate on features based on real-world user feedback and production constraints.
Architect and build large-scale ML systems covering training, inference, and deployment. Set technical standards for ML infrastructure and optimize GPU performance for production-grade systems.
The role involves translating research into scalable, production-grade ML systems and owning the end-to-end execution of data pipelines and inference architecture. You will be responsible for fine-tuning models and optimizing GPU performance to ensure reliability and low latency in real-world products.
The role involves building and owning critical machine learning subsystems from data preparation to production deployment. You will collaborate cross-functionally to turn research ideas into scalable, reliable AI products while mentoring other engineers.
The Software Engineer will build and maintain cross-platform desktop applications using Electron, focusing on reliability and real-time performance. Responsibilities include integrating AI-powered features and optimizing system behavior across macOS and Windows environments.
We watch for new "artificial intelligence" jobs and email you the matches. Free. Unsubscribe in one click.
Own the end-to-end execution of ML systems, translating research into scalable production-grade solutions. Responsible for data pipelines, model fine-tuning, and optimizing inference systems for latency and cost.
Define and execute a multi-year global AI strategy across the product portfolio and internal operations. Lead the AI Engineering team to develop LLM-powered capabilities and integrate threat intelligence into security workflows.
Lead strategic communications for the Artificial Intelligence and Data organization to shape the narrative of AI's role in serving patients. Provide senior counsel to leaders and develop integrated communication plans across internal and external channels.
Lead the PMO for Artificial Intelligence initiatives, coordinating with peer teams and business stakeholders. Responsible for IT project planning, delivery, and the formulation of new organizational policies and procedures.
Lead change and adoption efforts specifically for Artificial Intelligence initiatives within the organization. Coordinate with business stakeholders and IT teams to plan, deliver, and execute projects using various SDLC methodologies.
The role involves the instructional design, development, and delivery of online courses focused on AI, ML, and cloud computing. Responsibilities include updating learning outcomes, building course content, and teaching live online sessions for undergraduate and graduate students.
Lead the delivery of artificial intelligence initiatives and professional services for middle-market businesses. Manage multiple assignments and deadlines while maintaining high levels of client service and leadership.
Design and implement AI-driven solutions and RAG architectures to support federal civilian government initiatives. Build and optimize large-scale data pipelines using Go and manage the ML lifecycle via cloud platforms like AWS and Databricks.
Lead the enterprise AI vision and roadmap to improve customer experience and operational efficiency. Design and deploy scalable AI solutions to reduce churn and automate processes across customer care and network operations.
We watch for new "artificial intelligence" jobs and email you the matches. Free. Unsubscribe in one click.
Research, implement, and maintain AI-driven solutions and automated workflows to enhance business efficiency. Manage AWS cloud infrastructure, PostgreSQL databases, and create business intelligence dashboards for actionable insights.
Lead client discovery and AI readiness assessments to develop use case portfolios and ROI-driven adoption roadmaps. Design end-to-end AI architectures and establish AI Centers of Excellence to ensure scalable and governed enterprise AI delivery.
Oversee the data engineering efforts to provision scalable, reliable data pipelines and lead a team of data engineers in delivering quality code and building data products. Establish a metrics-driven approach to measure team performance and influence the vision for the data engineering platform.
Lead the development and execution of the company's AI strategy and establish a corporate AI Committee for governance and responsible use. Oversee the implementation of enterprise AI platforms and integrate Generative AI solutions into strategic business processes.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Learn more about Software Development remote jobs
