Partner with customers to translate complex business challenges into scalable, production-ready AI solutions. Design and architect end-to-end AI systems while collaborating with cross-functional teams to deliver measurable business impact.
Remote Artificial Intelligence Jobs (9,418)
Search = ai
Job category = Software Development
Design and develop enterprise Agentic AI solutions using Microsoft and Google ecosystems to modernize business processes. Collaborate with cross-functional teams to build, deploy, and monitor conversational AI agents and secure API integrations.
You will drive the development and implementation of AI legal and compliance frameworks while partnering with cross-functional teams to ensure responsible innovation. Additionally, you will manage AI governance documentation and establish processes for incident response and legal compliance validation.
Director of Facilities Engineering- AI Data Centers/Factories
Ez Blockchain
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Full Time
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4 Days Ago
Ez Blockchain
The Director of Facilities Engineering will lead the engineering strategy, design, and operational reliability for mission-critical AI data center infrastructure. This role involves overseeing multidisciplinary teams to ensure scalable, energy-efficient facilities while managing the full lifecycle of electrical, mechanical, and cooling systems.
The Senior Project Manager will lead complex IT and Data Platform initiatives, managing the full project lifecycle from planning through operational handoff. They will partner with stakeholders to ensure strategic alignment, governance, and the successful delivery of product-driven solutions.
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The Edge AI Engineer will design, optimize, and deploy machine learning models for resource-constrained edge devices. This role involves performing hardware-aware optimizations and ensuring reliable AI deployment outside of data centers.
Conversational AI Engineer
Bright Vision Technologies
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Full Time
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4 Days Ago
Bright Vision Technologies
The Conversational AI Engineer will define and lead the strategy, patterns, and tooling for designing prompts, agentic workflows, and LLM-based application architectures. They are responsible for building reusable design patterns and evaluation frameworks that scale across multiple teams and use cases.
Data Engineering Specialist – AI
Bright Vision Technologies
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Full Time
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4 Days Ago
Bright Vision Technologies
The Data Engineering Specialist will build and operate large-scale data systems to support AI training and evaluation pipelines. This role focuses on data ingestion, transformation, quality assurance, and high-throughput delivery for diverse AI modalities.
The AI Platform Engineer will design, build, and maintain scalable AI inference platforms for production machine learning workloads. Responsibilities include optimizing GPU utilization, implementing autoscaling, and collaborating with ML teams to ensure high-performance model deployment.
AI Systems Performance Specialist
Bright Vision Technologies
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Full Time
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4 Days Ago
Bright Vision Technologies
The AI Systems Performance Specialist will optimize AI training and inference pipelines to improve throughput, latency, and cost efficiency. They will also develop benchmarking and profiling solutions while collaborating with ML teams to enhance overall AI system performance.
The Applied AI Engineer will design, build, and deploy production-ready AI and machine learning solutions to address real-world business problems. They are responsible for optimizing training and inference pipelines while monitoring model performance and reliability.
The AI Risk Engineer will design and implement security controls for AI and LLM-based applications while building threat models to mitigate risks like prompt injection and model abuse. They will also collaborate with security and compliance teams to conduct AI security assessments and drive remediation efforts.
Provide hands-on technical mentorship to customers on the NVIDIA GenAI stack and guide the development of Agentic AI workflows. Build demonstrations and POCs while partnering with engineering and sales teams to secure design wins.
The AI SDET will design and maintain automated tests to validate AI-powered applications, including RAG systems, data pipelines, and AI agents. They will collaborate with engineering teams to ensure system reliability, data accuracy, and consistent AI behavior through rigorous testing and CI/CD integration.
Design and implement production-grade multi-agent AI systems using frameworks like Semantic Kernel and AutoGen. Integrate AI solutions with Microsoft Fabric, enterprise data sources, and business platforms like DealCloud.
Define and execute the AI-Native Product-Led Motion strategy to drive adoption, expansion, and growth across the ITSM portfolio. Lead cross-functional teams to build data-driven growth engines and design exceptional product-led experiences that accelerate customer value realization.
AI Solutions Architect
Vital Care Infusion Services
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Full Time
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4 Days Ago
Vital Care Infusion Services
The Solutions Architect will design and implement secure, scalable technology solutions that align with healthcare regulations and business objectives. They will lead the integration of AI, automation, and cloud-native architectures while collaborating with clinical and engineering teams to ensure operational excellence.
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You will drive the architecture, design, and evolution of HR technology solutions, including automation and AI capabilities. You will also lead integrations between SAP SuccessFactors and other enterprise systems while ensuring compliance with data governance and security standards.
Associate Director, AI Ops Engineering
Vista Equity Partners Management
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Full Time
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4 Days Ago
Vista Equity Partners Management
You will design, build, and operate an agentic AI platform to industrialize value creation across Vista portfolio companies. This involves hands-on implementation of AI architectures, developing production-grade infrastructure, and collaborating with cross-functional stakeholders to scale AI capabilities.
Provide professional customer support via email, chat, and ticketing systems while utilizing AI tools to optimize response times and accuracy. Manage order and account inquiries, maintain documentation, and collaborate with internal teams to improve support processes.
The Growth Marketing Manager will design and execute strategies to accelerate pipeline and revenue growth for AI-powered B2B SaaS products. They will own full-funnel experimentation, optimize conversion performance, and collaborate with cross-functional teams to improve funnel velocity.
Outbound & AI Visibility Growth Specialist (AEO + SEO)
Hire Hangar
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Full Time
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4 Days Ago
Hire Hangar
You will execute outbound campaigns and SEO strategies to increase company visibility across traditional and AI-driven search engines. Additionally, you will experiment with AI tools and collaborate with sales and marketing teams to refine messaging and secure earned media.
Design and implement intelligent, autonomous systems capable of reasoning, planning, and executing complex workflows. Integrate AI agents with enterprise systems using Google Cloud Platform.
The AI Solution Architect will design and implement scalable AI-powered solutions, including traditional machine learning and generative AI systems, across various client projects. They will also collaborate with engineering teams and stakeholders to establish architectural patterns, mentor junior staff, and ensure technical feasibility.
The AI Solutions Engineer will design, develop, and deploy AI-powered applications and automation workflows using LLMs and HubSpot. They will also manage system integrations between CRM, EHR, and business platforms while monitoring performance and data quality.
AI Cybersecurity Engineer
Bright Vision Technologies
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Full Time
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4 Days Ago
Bright Vision Technologies
The AI Cybersecurity Engineer will lead the design and implementation of security controls and threat models for AI and machine learning systems. They will address security challenges such as prompt injection, model abuse, and data exfiltration within LLMs and AI infrastructure.
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AI Optimization Engineer
Bright Vision Technologies
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Full Time
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4 Days Ago
Bright Vision Technologies
The AI Optimization Engineer will focus on maximizing throughput, minimizing latency, and reducing costs for large neural network training and inference workloads. They will collaborate with cross-functional teams to translate requirements into optimized solutions while mentoring junior engineers.
Generative AI Engineer
Bright Vision Technologies
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Full Time
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4 Days Ago
Bright Vision Technologies
The Generative AI Engineer will design, execute, and operationalize fine-tuning workflows for large language models using various learning approaches. They will collaborate with cross-functional teams to translate requirements into production-grade solutions while mentoring junior engineers.
The AI Systems Engineer will design, build, and operate the platform layer for large-scale AI training and inference workloads. Responsibilities include managing GPU clusters, distributed training frameworks, and ensuring high reliability and efficiency for ML infrastructure.
Edge Computing AI Engineer
Bright Vision Technologies
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Full Time
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4 Days Ago
Bright Vision Technologies
Design, optimize, and deploy machine learning models for resource-constrained edge devices such as mobile platforms and embedded systems. Ensure reliable AI performance by managing trade-offs in compute, memory, energy, and connectivity.
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