Design, analyze, and deploy advanced liquid cooling solutions for high-density AI and HPC data centers. Perform thermal modeling and CFD simulations to optimize performance for CPU and GPU workloads.
Remote Artificial Intelligence Jobs (6,191)
Search = ai
Job category = Software Development
Develop and deploy AI-driven sales analytics solutions and Power BI dashboards to support data-driven decision-making for Institutional Europe. Transform fragmented data into scalable digital tools to track sales performance, pipeline health, and growth initiatives.
Lead the design and delivery of a customer intelligence and knowledge aggregator platform for InnoSoft to improve support and ARM functions. Additionally, drive group-level AI enablement by establishing standards, conducting maturity assessments, and facilitating workshops.
Product, IP, and AI Counsel
Accenture Federal Services
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Full Time
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2 Weeks Ago
Accenture Federal Services
Serve as a trusted advisor on the lifecycle of technology creation, commercialization, and governance for AFS. This includes drafting and negotiating contracts for SaaS and AI while managing IP protection and federal data rights.
Design and build core components of an AI agent platform, including orchestration layers and tool integrations. Architect knowledge and memory infrastructure while implementing trust, safety, and evaluation frameworks for AI-driven operations.
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Develop production-level full-stack AI applications and prototypes using TypeScript and React to solve retail use cases. Design agentic workflows and implement systems to monitor and evaluate LLM performance for enterprise clients.
Design and build core components of an AI agent platform, including orchestration layers and tool integrations. Architect knowledge and memory infrastructure while implementing trust, safety, and evaluation frameworks for AI-driven operations.
Lead the vision, strategy, and execution for AI-powered connected camera hardware and firmware. Drive New Product Introductions (NPIs) and manage the lifecycle of edge devices to enhance fleet safety and observability.
Drive adoption of high-performance cloud infrastructure by creating technical content, tutorials, and reference architectures. Act as a bridge between engineering and the developer community through public speaking, community engagement, and product feedback loops.
Principal Industrial AI Data Architect - US Remote
Hexion Careers
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Full Time
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2 Weeks Ago
Hexion Careers
Design and govern the data architecture and pipelines that enable scalable AI across industrial environments. Bridge the gap between data semantics and AI execution to ensure consistency between training and runtime inference.
Produce a high volume of AI-generated short-form video, image, and audio content for various social platforms. Manage social accounts and iterate on content based on performance data to drive growth and engagement.
The AI Automation Specialist will architect and optimize internal systems, AI-driven workflows, and integrations to improve operational efficiency. They will work closely with leadership to translate business needs into functional technical tools and dashboards.
Build and maintain automated AI workflows and RAG systems using LLMs and multimodal tools. Collaborate with teams to integrate AI into business processes and evolve existing AI codebases.
Principal AI Researcher (Agentic Systems & AI Infrastructure)
Red Cell Partners
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Full Time
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2 Weeks Ago
Red Cell Partners
Define and drive the long-term research strategy for the Trase operating system, focusing on agentic execution and autonomous systems. Lead the transition of frontier AI research into scalable, production-grade systems for regulated enterprise environments.
Principal AI Researcher (Agentic Systems & AI Infrastructure)
Trase Systems
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Full Time
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2 Weeks Ago
Trase Systems
Define and drive the long-term research strategy for the Trase operating system, focusing on autonomous agentic execution and orchestration. Lead the end-to-end lifecycle from frontier AI research to the deployment of scalable, production-grade systems in regulated environments.
Design and develop compiler optimizations to improve inference efficiency across CPUs, GPUs, and ML accelerators. Collaborate with cross-functional teams to implement core technologies for end-to-end performance on heterogeneous hardware platforms.
Act as a hybrid Engagement and Delivery Lead for complex data and AI programs, serving as the primary point of contact for client sponsors. Responsible for translating strategy into roadmaps, managing engagement financials, and orchestrating multi-geo technical teams to ensure business impact.
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Act as a hybrid Engagement and Delivery Lead accountable for the success of complex AI and data programs. Orchestrate multi-geo teams to translate client strategy into measurable business impact and manage engagement financials.
Lead the design and delivery of scalable data products and AI automation solutions to transition the company into an AI-first organization. Build and maintain the data infrastructure and pipelines that power agentic operations and eliminate routine manual work.
Lead the end-to-end audit process and ensure ongoing compliance with client policy and contract requirements. Manage technical enablement, documentation in Confluence, and the redaction of evidence for audit cycles.
Principal Software Development Engineer (PBM AI Solutions)
CVS Health
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Full Time
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2 Weeks Ago
CVS Health
Lead the architecture, design, and delivery of next-generation AI-enabled digital applications and financial solutions across major cloud platforms. Define the technical vision and IT strategy while mentoring high-performing engineering teams to solve business-critical healthcare problems.
Principal Software Development Engineer (Customer Insight & AI Solutions)
CVS Health
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Full Time
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2 Weeks Ago
CVS Health
Lead the architecture, design, and delivery of next-generation digital applications and AI-enabled solutions across major cloud platforms. Define the technical vision and IT strategy while mentoring high-performing engineering teams to solve business-critical healthcare problems.
Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML)
Empower
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Full Time
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2 Weeks Ago
Empower
The Senior Solutions Architect provides technical leadership and designs complex solution architectures that support business strategy. This role involves partnering with various teams to document current-state systems and design scalable, resilient, and secure cloud-based solutions.
Complete short voice recordings and guided conversations to help train AI speech systems. Submit high-quality, natural speech data through a designated online platform.
Develop and productionize cutting-edge GenAI solutions to solve customer problems and serve as a trusted technical advisor. Collaborate cross-functionally with product and engineering teams to influence the strategic roadmap and present at industry conferences.
Develop and productionize cutting-edge GenAI solutions to solve customer problems and serve as a trusted technical advisor. Collaborate cross-functionally with product and engineering teams to influence the strategic roadmap and present at industry conferences.
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Develop and productionize cutting-edge GenAI solutions to solve customer problems while serving as a trusted technical advisor. Collaborate cross-functionally with product and engineering teams to influence the strategic roadmap and present findings at industry conferences.
Develop and productionize cutting-edge GenAI solutions to solve customer problems and serve as a trusted technical advisor. Collaborate cross-functionally with product and engineering teams to influence the strategic roadmap and present at industry conferences.
Design, build, and deploy AI agents and automation pipelines to enhance efficiency across various business domains. Own the end-to-end performance of these systems, including monitoring KPIs, managing evaluations, and iterating on workflows.
Design and build core components of an AI agent platform, including orchestration layers and tool integrations. Architect knowledge infrastructure and implement trust and safety frameworks for AI-driven operations.
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