1,174 AI Engineer jobs in United States available for remote work from home. Apply for positions such as Senior Analytics Engineer, AI & DX Analytics, Subject Matter Expert - Senior Cloud, Data & AI Engineer, Staff AI Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
Trusted by 300,000+ remote workers worldwide.
You will instrument telemetry and build production data pipelines to measure AI investment and developer experience. Additionally, you will create executive-facing dashboards and provide actionable analysis to guide leadership decision-making.
The Senior Cloud, Data & AI Engineer will lead the architecture and delivery of innovative cloud, data, and AI solutions within AWS GovCloud and Celonis environments. This role involves designing scalable data pipelines, developing agentic AI workflows, and establishing engineering standards for federal mission-critical products.
The Staff AI Engineer will design, build, and scale AI-powered solutions on the ServiceNow platform while driving the adoption of native AI capabilities. They will also lead AI Control Tower implementations, establish governance policies, and mentor engineering teams on best practices for AI system design.
Lead the design and evolution of cloud-native services, distributed systems, and platform capabilities for large-scale production environments. Collaborate across engineering organizations to define technical strategy for infrastructure, networking, compute, and operational excellence.
The AI Engineer will design, build, and deploy advanced AI and Generative AI solutions across healthcare platforms to improve outcomes and operational efficiency. This role involves managing end-to-end AI model development, data processing, and system integration while ensuring compliance with healthcare regulations.
We watch for new "AI Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
The Senior Security Engineer will serve as an embedded security partner within the Falcon AI team, overseeing security architecture for agents, integrations, and identity. This role involves writing production code, performing threat modeling, and representing the team's security posture to the broader cybersecurity organization.
Lead technical discovery and advisory engagements to identify high-value AI use cases and guide customers through end-to-end AI deployment on the Pure platform. Collaborate cross-functionally to develop proof-of-value prototypes and create technical enablement content for field teams and partners.
Design, develop, and maintain production-grade AI-enabled applications and ServiceNow solutions within secure U.S. Government cloud environments. Ensure compliance with federal security standards while managing the full software development lifecycle and DevSecOps practices.
Develop and optimize software, performance systems, and engineering tools to enable efficient AI model execution at cloud scale. Collaborate with researchers and hardware teams to diagnose cross-stack issues and deliver production-ready solutions for AI frameworks.
Design and optimize production-quality components for AI frameworks, runtimes, and benchmarking systems. Collaborate with cross-functional teams to diagnose performance issues and deliver scalable, reliable AI infrastructure solutions.
Define the technical vision and architecture for AI frameworks, performance systems, and developer-productivity tools to enable efficient model deployment at cloud scale. Lead cross-stack investigations and drive measurable improvements in model onboarding velocity, runtime performance, and hardware utilization.
Design, implement, and optimize production-quality AI frameworks, runtimes, and benchmarking systems to improve model performance and reliability. Lead cross-stack investigations and define technical strategies to enhance AI infrastructure efficiency and developer productivity.
Lead the design and implementation of shared AI observability and security platform capabilities to detect and mitigate risks in generative AI systems. Collaborate with cross-functional teams to build large-scale data processing pipelines and establish reusable engineering patterns for AI safety.
The Principal Applied AI Engineer will architect and optimize high-performance production LLM systems while leading technical strategy and engineering excellence across the team. This role involves mentoring engineers, driving architectural design, and ensuring the scalability and reliability of AI-powered automation platforms.
The Lead Applied AI Engineer will architect and optimize production AI systems, focusing on agent orchestration, specification extraction, and enterprise-grade automation. They will also mentor junior engineers and establish rigorous evaluation pipelines to ensure high-quality, scalable software delivery.
You will design and build LLM serving infrastructure on Kubernetes, including GPU scheduling, scaling, and model lifecycle management. Additionally, you will package the platform for enterprise environments and integrate the serving layer with API gateways and observability services.
The Associate AI Engineer will direct AI agents to build, configure, and troubleshoot software systems while translating business needs into clear, measurable tasks. They are responsible for coordinating agent workflows, validating outcomes against requirements, and maintaining documentation to ensure successful, repeatable processes.
We watch for new "AI Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
The role involves using AI tools like Claude to write, debug, and improve code while building workflow automations. Responsibilities also include deploying applications to cloud environments and performing Linux system administration.
You will lead the deployment of frontier AI models to address complex cybersecurity challenges, including threat detection and vulnerability analysis. Additionally, you will manage technical delivery, mentor team members, and collaborate with stakeholders to ensure project success.
You will build, evaluate, and deploy AI solutions for cybersecurity challenges, including threat investigation and detection engineering. You will also own technical deliverables, collaborate with client teams, and contribute to architecture and documentation.
Lead the development, training, and optimization of machine learning models to enhance AI security and protect against threats like prompt injection and jailbreaks. Partner with cross-functional teams to define technical roadmaps, improve model performance, and establish best practices for responsible ML deployment.
You will design, implement, and optimize gameplay AI systems while collaborating with designers and artists to create engaging AI encounters. Additionally, you will manage production tasks, integrate with QA for testing, and actively participate in playtests to resolve AI-related issues.
The Core Applied AI Engineer will be responsible for agentifying critical business processes end-to-end using context and harness engineering. They will collaborate with cross-functional teams to implement AI solutions and analyze data to drive informed decision-making.
You will design and build AI-enabled security workflows and multi-agent systems to automate threat modeling, vulnerability analysis, and security design reviews. Additionally, you will develop production Python services and APIs to integrate security guidance into engineering workflows while managing system reliability and performance.
You will lead the technical vision and architecture for AI frameworks, performance engineering, and developer-productivity capabilities. You will also provide hands-on leadership by driving cross-team investigations, mentoring engineers, and delivering scalable platform solutions.
The role involves designing security guardrails for AI-powered products and building automated security tooling to support an AI-first workforce. You will act as a bridge between architectural intent and operational reality while managing security risks across cloud and enterprise environments.
We watch for new "AI Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
Embed with functional departments to discover workflows and build custom full-stack applications using modern AI tools. Own the end-to-end delivery of these applications, including architecture, testing, deployment, and stakeholder training.
The Senior Software Engineer will architect and maintain AI-driven tools and integrations to enhance the product development lifecycle. They will also act as a technical consultant and mentor to help teams integrate AI agents into their workflows effectively.
You will build and deploy full-stack AI-powered applications on 2-to-4-week sprint cycles, taking PoC blueprints from concept to production. You are responsible for integrating these tools into core data infrastructure and ensuring they are operational before handing them off to maintaining teams.
You will build end-to-end verification and evaluation loops to enable AI agents to complete tasks with confidence. Additionally, you will operate the agent fleet as a production system while measuring quality, adoption, and performance impact.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Everything you need to know about remote work
