1,223 AI Engineer jobs in United States available for remote work from home. Apply for positions such as Senior Solution Engineer - Cloud & AI Applications, People AI & Automation Engineer, Staff AI Test Automation Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Drive technical sales and adoption of Microsoft's AI and cloud platforms through hands-on engagements like hackathons and architecture workshops. Collaborate with developers and engineering teams to design secure, scalable solutions and resolve technical blockers.
You will partner with the People & Talent team to design and build AI-powered workflows that automate manual, high-friction HR processes. This involves developing internal tools, integrating AI agents with existing systems, and ensuring secure, scalable operations.
You will lead the development and optimization of AI-driven test automation workflows using tools like Claude Code and Playwright. This involves building feedback loops between CI/CD pipelines and AI agents to automate test generation, execution, and maintenance at scale.
The engineer will embed with sub-teams to build and deploy agentic workflows that improve developer productivity across firmware, runtime, and simulation. They will also own the shared skills repository and internal agent tooling to ensure high-quality, evaluated automation within the engineering lifecycle.
Design, build, and operate AI-powered infrastructure to connect go-to-market systems and automate manual workflows across sales, marketing, and customer success. Own the architecture of the GTM systems AI layer, including LLM integrations, retrieval pipelines, and serverless services.
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Lead discovery sessions with stakeholders to translate complex business problems into Agentic AI solution designs. Architect multi-agent workflows and build technical prototypes while guiding implementation teams.
The role involves designing, configuring, and implementing Pega AI and Customer Decision Hub solutions to drive business engagement. You will be responsible for integrating LLMs, optimizing decisioning strategies, and ensuring AI governance across enterprise workflows.
You will work directly with customers to design, build, and deploy production-grade AI solutions using LLMs and agentic technologies. Additionally, you will act as a technical bridge between customer needs and internal product teams to influence engineering roadmaps.
Act as a primary technical architect to design and deliver scalable networking solutions for AI, cloud, and data center environments. Lead complex sales cycles by translating business requirements into technical strategies and mentoring junior engineering teams.
The AI Tool Support Engineer will manage model services, configure IAM policies, and provide T1/T2 helpdesk support for an AI-powered coding assistant. The role also involves white-glove application services, including architecture design help and application change management.
The AI Tool Support Engineer will manage model services, configure IAM policies, and provide T1/T2 helpdesk support for AI-powered coding tools. They will also handle white-glove application services, including architecture design help and change management.
The Staff Security Engineer will lead security architecture and implementation across cloud and AI platforms, ensuring systems are secure by design. They will partner with engineering teams to define security standards, threat model designs, and automate security controls within developer workflows.
You will lead the security architecture and implementation for cloud and AI platforms, ensuring secure-by-design principles across infrastructure and applications. The role involves building reusable security controls, conducting threat modeling, and partnering with engineering teams to drive adoption of security standards.
You will co-lead the technical direction for AI security products and partner with cross-functional teams to build proactive security controls. This involves embedding with product teams to design, build, and deploy hardened security solutions for AI-enabled surfaces.
The AI Forward Deployed Engineer acts as a bridge between SensibleAI capabilities and customer outcomes by designing and implementing cross-product AI solutions. They collaborate with delivery and engineering teams to validate value, harden solutions for production, and codify reusable patterns for the OneStream ecosystem.
Drive technical sales and adoption of Microsoft's cloud data platforms through demos, hackathons, and architecture workshops. Collaborate with enterprise customers to design secure, scalable data solutions and resolve technical blockers.
The Staff Engineer will integrate cutting-edge AI models into existing platforms to enhance product capabilities and user experience. They will also design evaluation frameworks, monitor AI performance in production, and collaborate with the data science team on model fine-tuning.
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The engineer will create enterprise knowledge foundations using ingestion pipelines, vector databases, and knowledge graphs. They are responsible for managing document ingestion pipelines and overseeing the knowledge graph platform.
Lead the design and delivery of enterprise-grade, AI-first full stack applications within the Master Data Management product line. Collaborate with cross-functional teams to build scalable, production-ready features while mentoring junior engineers and driving architectural decisions.
Design and build backend services that integrate LLMs and machine learning models into production-grade clinical AI products. Collaborate with data scientists to transition experimental models into reliable, scalable, and observable production systems.
The Lead AI Solutions Delivery Engineer will design and deploy AI-enabled workflows and agentic solutions for strategic enterprise customers. They will collaborate cross-functionally to translate business requirements into production-level AI implementations while contributing to the long-term product roadmap.
The DevOps Engineer will build and operate infrastructure for data pipelines and AI/ML workloads while managing CI/CD processes. They will also partner with engineering teams to ensure the reliability, scalability, and cost efficiency of production systems.
You will architect and maintain high-performance storage solutions to support AI model training and inference workloads. This involves managing container storage interfaces, optimizing I/O throughput, and ensuring seamless data delivery for GPU-intensive applications.
Lead end-to-end AI/ML projects from ideation to deployment, focusing on medical synthesis and LLM-driven features. Collaborate with cross-functional teams to design scalable, robust machine learning solutions that improve system accuracy and business outcomes.
Collaborate with product and design teams to develop AI-powered features that enhance the user experience on SeatGeek.com. Mentor web engineers and contribute to the maturity of the frontend technology strategy with a focus on generative AI.
Collaborate with design and product teams to develop AI-powered features that enhance the user experience on SeatGeek.com. Mentor web engineers and contribute to the maturity of the frontend technology strategy with a focus on generative AI.
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You will lead end-to-end strategic customer deployments by designing, building, and instrumenting production-grade agentic AI systems. Additionally, you will act as a senior technical resource for pre-sales activities and provide direct feedback to product and engineering teams to shape the platform roadmap.
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.
You will design, implement, and scale the platform's core backend systems and data pipelines while leading end-to-end development for critical features. Additionally, you will define architectural standards for security and identity management while collaborating with cross-functional teams to shape the platform's future.
Design, build, and operate scalable backend services and APIs for the U.S. marketplace platform. Integrate AI-driven capabilities into marketplace features while collaborating with cross-functional teams to ensure system reliability and performance.
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