Design and deploy intelligent autonomous AI agents and multi-agent systems using Azure AI Foundry. Develop RAG pipelines and integrate AI agents with enterprise data and APIs to execute complex workflows.
Remote Artificial Intelligence Jobs (9,417)
Search = ai
Job category = Software Development
Deploy and scale the ProcessOS product at enterprise customers, owning the journey from initial process files to production workflows. You will build custom agents, write connector logic for legacy systems, and feed field discoveries back into the core product development.
Forward Deployed Engineer – AI (w/m/d) in Voll- oder Teilzeit
CROZ DACH GmbH
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Full Time
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1 Week Ago
CROZ DACH GmbH
Responsible for end-to-end AI deployments from discovery and scoping to architecture and production rollout. The role involves bridging the gap between business requirements and technical implementation for mid-sized and large enterprises.
Freelancer Curriculum & Content Lead – AI Architect Course (m,f,d)
neuefische GmbH
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Full Time
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1 Week Ago
neuefische GmbH
The lead will design and develop the entire framework and content for an enterprise-grade AI Architect course, including modules, case studies, and assessments. They are responsible for ensuring graduates can design, deploy, and scale production-ready AI/ML architectures and manage operational costs and compliance.
Take full ownership of a revenue-generating product, managing its roadmap, execution, and commercial performance. Build AI-driven tools and automations while utilizing data analysis to drive product trajectory and company growth.
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Act as the strategic and technical bridge to lead AI transformation and experience orchestration for strategic customers in the EMEA region. Design reference architectures, implement agentic AI prototypes, and establish evaluation frameworks to measure business outcomes.
AI Infrastructure & Platform Operations Engineer (remote in the EU)
Mirantis
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Full Time
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1 Week Ago
Mirantis
Operate and support large-scale AI infrastructure platforms powered by NVIDIA GPUs and Kubernetes across multiple datacenters. Resolve technical incidents related to hardware, networking, and platform stability while contributing to automation and observability improvements.
AI Infrastructure & Platform Operations Engineer (remote in the EU)
Mirantis
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Full Time
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1 Week Ago
Mirantis
Operate and support large-scale AI infrastructure platforms powered by NVIDIA GPUs and Kubernetes across multiple datacenters. Resolve technical incidents related to hardware, networking, and platform stability while contributing to operational automation.
AI Platform Architect – SAP BTP
Computer Task Group, Inc
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Full Time
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1 Week Ago
Computer Task Group, Inc
Design and deliver enterprise AI-first cloud applications using SAP BTP, LLMs, and RAG patterns. Lead the full AI lifecycle from prototyping to production deployment while ensuring scalable and secure SaaS architectures.
Data Engineer – AI & Analytics
Computer Task Group, Inc
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Full Time
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1 Week Ago
Computer Task Group, Inc
Design and optimize scalable ETL/ELT pipelines and cloud-native data infrastructure to support AI, machine learning, and analytics. Collaborate with cross-functional teams to implement data governance, security, and high-performance data processing solutions.
Maintain an existing application and implement new features using Python and Angular. Develop AI-based solutions with LLMs and manage deployments in OpenShift/Kubernetes environments.
Define and drive the enterprise architecture for AI automation and business transformation to reduce fragmentation and ensure long-term scalability. Establish governance guardrails, architectural blueprints, and standards for AI-enabled workflows and cross-system orchestration.
Architect and build production-quality software features using AI coding tools as a primary force multiplier. Manage the end-to-end delivery process, including technical direction, vendor management, and hardware integration for PAVNA systems.
Develop and maintain backend services and REST APIs for AI-powered document processing applications. Integrate AI services with internal systems and manage deployment using containerization and CI/CD pipelines.
The role involves gathering and documenting business requirements to develop and improve an AI-powered FAQ chatbot for the banking sector. The analyst will collaborate with stakeholders and technical teams to optimize user experience and ensure regulatory compliance.
AI Evaluation & Annotation Reviewer (L3 - Advanced Level) - Italian
Volga Partners
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Full Time
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1 Week Ago
Volga Partners
Principal Product Manager, AI Platform and Cyber Validation
SimSpace Corporation
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Full Time
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1 Week Ago
SimSpace Corporation
Own the vision, strategy, and roadmap for the Environmental Realism platform to support AI-native security products and autonomous cyber agents. Collaborate with industry leaders and internal engineering teams to build realistic cyber environments that validate AI-powered cybersecurity capabilities.
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Design and customize AI-powered clinical documentation templates to help doctors produce high-quality notes and reports efficiently. Collaborate with cross-functional teams and Doctors-in-Residence to ensure templates align with clinical best practices.
Principal Product Manager - AI Creation & Growth (Remote Eligible)
Smartsheet
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Full Time
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1 Week Ago
Smartsheet
Lead the strategy for AI-powered content creation and product-led growth to reduce time-to-value for users. Collaborate with engineering and design to improve AI output quality and optimize self-serve activation flows.
Design and deploy production-ready AI systems, including LLM-powered applications, agentic workflows, and intelligent automation. Collaborate with cross-functional teams to transform business requirements into scalable software solutions that create measurable value.
Build and iterate on AI-native product experiences to automate workflows for early education administrators, teachers, and families. Partner with cross-functional teams to transform ambiguous customer problems into scalable, high-quality software solutions.
Plan and deliver engaging live online lessons in Intro to AI for a diverse international student body. Manage the online classroom via Canvas, design assessments, and provide constructive feedback to ensure strong learning outcomes.
Develop and maintain internal AI-powered tools and automated workflows using Python. Ensure operational efficiency by managing data inputs, project timelines, and performing strict technical quality assurance.
Design and deploy AI-powered applications and intelligent workflows using LLMs to optimize business operations. Build and maintain complex integrations between HubSpot, EHR systems, and other third-party business tools via APIs.
Lead AI Engineer, Stealth Longevity AI Startup
Bedrock Talent
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Full Time
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1 Week Ago
Bedrock Talent
Design and build the technical foundation of an AI-native healthcare platform, focusing on agent-based systems and scalable data pipelines. Collaborate with leadership to transform scientific ideas into production-ready AI software and customer-facing products.
Design and implement an autonomous AI-powered sales pipeline to automate lead qualification, nurturing, and opportunity management. Engineer integrations between CRM systems, AI services, and cloud infrastructure to optimize the revenue lifecycle.
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ASIC Architect, Principal (AI Inference)
Positron Corporation
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Full Time
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1 Week Ago
Positron Corporation
Define the architecture for next-generation AI inference accelerators, focusing on transformer models and high-performance silicon implementation. Collaborate across software and hardware teams to develop performance models, specifications, and a long-term product roadmap.
Professional Services Technical Operations Engineer - Agentic AI (Remote)
CrowdStrike
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Full Time
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1 Week Ago
CrowdStrike
Design, build, and operate agentic AI systems to amplify consulting and internal operations. This includes owning the end-to-end production lifecycle from architecture and security review to rollout and 24/7 incident response.
Lead the development and productionization of complex AI/ML solutions, from initial prototyping and MVP construction to deploying scalable cloud architecture. Provide technical leadership, mentor junior engineers, and advise leadership on enterprise AI strategies and governance.
Embed with enterprise customers to build production-ready GenAI systems, POCs, and MVPs. Bridge the gap between customer needs and product development by architecting inference foundations and providing feedback to the engineering roadmap.
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