Identify and implement AI and automation use cases across various business departments to optimize the value chain. Drive the company's AI culture through technology screening, API integrations, and internal workshops.
Remote Artificial Intelligence Jobs (6,191)
Search = ai
Job category = Software Development
Manage paid campaigns across Google, Meta, and LinkedIn using an AI-first approach to optimize funnels and bidding strategies. Collaborate on the development of internal AI tools and automation to redefine industry standards in performance marketing.
Lead the definition and execution of AI-driven data strategies, focusing on governance, architecture, and ROI measurement for C-suite clients. Manage a team of consultants to deliver end-to-end AI use cases and drive presales engagements.
Design and implement innovative AI-based solutions to increase efficiency within modern SAP landscapes. Collaborate with process consultants and stakeholders to develop operative use cases and manage projects throughout the SAP lifecycle.
Drive AI product revenue in Norway by acquiring new healthcare customers and converting existing users to paid AI plans. This includes managing the full sales cycle, hosting educational webinars, and developing strategic industry partnerships.
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Plan and manage national and international IT projects focused on AI solutions for retail and e-commerce. Advise clients on AI use cases and deliver training sessions and workshops to empower teams.
The role involves investigating, designing, and implementing AI features and frameworks specifically for vehicle-focused solutions. The programmer will collaborate with design teams to set the vision and ensure the delivery of maintainable, bug-free code.
Own the end-to-end product lifecycle for AI-driven capabilities, from problem discovery and requirement definition to delivery and user adoption. Act as the central collaborator between business, data, and technology teams to translate AI concepts into actionable product features.
The engineer is responsible for developing medium-complexity data hall layouts, including rack elevations and power planning. They also conduct infrastructure assessments and collaborate with cross-functional teams to ensure scalable and efficient deployments.
Design, build, and operate the company's AI enablement platform and gateway within the IT and Security function. Lead the technical vision and implement standards for AI providers, models, and governance to ensure safe and scalable AI adoption.
Senior Project Manager - Generative AI Data Operations
Welo Global
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Full Time
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2 Weeks Ago
Welo Global
Oversees multi-project portfolios for Generative AI data operations, focusing on capacity planning, vendor management, and process automation. Leads end-to-end delivery of data collection and labeling while ensuring quality consistency and financial control.
Define and evolve the target architecture for enterprise-scale Data and AI platforms, covering the full lifecycle from experimentation to production. Lead capacity planning and cost optimization for GPU/CPU workloads while integrating platforms with enterprise data ecosystems.
Sr Technical Program Manager (AI)
Beyondsoft Consulting
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Full Time
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2 Weeks Ago
Beyondsoft Consulting
Lead the end-to-end delivery of complex AI platform initiatives, including AI agents and RAG pipelines, within the Microsoft ecosystem. Coordinate cross-functional teams to ensure production-grade deployment and operational excellence for enterprise AI solutions.
Support simple data hall infrastructure designs and drafting activities using AutoCAD under senior guidance. Create layouts for cabinets, rack elevations, and cabling while maintaining accurate project documentation.
The engineer is responsible for developing medium-complexity data hall layouts, including rack elevations and power planning. They also conduct infrastructure assessments and collaborate with cross-functional teams to ensure scalable and efficient deployments.
The engineer is responsible for developing data hall layouts, rack elevations, and power and space planning for moderate-complexity infrastructure projects. They also conduct efficiency assessments and collaborate with cross-functional teams to ensure design compliance and project delivery.
Lead large-scale AI infrastructure deployment programs focusing on GPU clusters, compute environments, and high-speed networking. Manage end-to-end project execution, risk mitigation, and cross-functional coordination between engineering and executive stakeholders.
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The engineer is responsible for developing data hall layouts, rack elevations, and cable routing designs. They also conduct infrastructure assessments and collaborate with cross-functional teams to optimize scalability and efficiency.
The engineer is responsible for developing data hall layouts, rack elevations, and power and space planning for moderate-complexity infrastructure projects. They also conduct assessments to improve efficiency and collaborate with cross-functional teams to ensure design compliance and successful deployment.
The engineer is responsible for developing medium-complexity data hall layouts, including rack elevations and power planning. They also conduct infrastructure assessments and collaborate with cross-functional teams to ensure scalable and efficient designs.
Sr Director - Analyst, AI Technology and Operations Evolution (Remote US)
Gartner
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Full Time
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2 Weeks Ago
Gartner
Create innovative, thought-provoking insights and market predictions to guide world-leading organizations on AI technology and operations. Act as a trusted advisor to clients and provide sales support to drive engagement and business growth.
Senior Staff Product Marketing Manager, AI Identity Security
1Password
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Full Time
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2 Weeks Ago
1Password
Lead the product marketing, messaging, and launch strategy for AI-focused identity security products, specifically focusing on secrets and access management. You will define the market narrative for developers and AI builders while enabling the sales field with competitive intelligence and technical briefs.
Review AI-generated videos against text prompts to identify visual errors, inconsistencies, and mismatches. Annotate specific errors and provide clear descriptions to improve model quality and alignment.
Review AI-generated videos against text prompts to identify visual errors, inconsistencies, and mismatches. Annotate errors in a structured platform and participate in calibration sessions to ensure quality and accuracy.
Own and execute the full sales cycle for a portfolio of AI companies to drive net new logo acquisition and expand Airtable's footprint. Collaborate cross-functionally to deliver tailored solutions and manage high-value ACV and ARR deals.
Identify and analyze business-critical risks within product and infrastructure to define remediation strategies. Develop scalable systems for secure engineering patterns and mentor other engineers within the organization.
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The intern will develop AI-driven workflows, internal tools, and dashboards to improve business operations. They will also research emerging AI technologies and document technical implementations.
Design intuitive interfaces for AI-assisted user flows and complex multi-step journeys, ensuring clarity and trust. Utilize AI tools for rapid prototyping and conduct A/B testing to iterate designs based on evidence and data.
Design and implement scalable AI-powered solutions and components to support client transformation initiatives. Serve as a technical lead for AI workstreams, collaborating with architects to deliver production-grade ML and cloud systems.
Design and implement AI-driven user growth strategies to improve conversion, retention, and acquisition across the user journey. Collaborate with cross-functional teams to develop product roadmaps and execute growth initiatives using agile methodologies.
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