Remote Artificial Intelligence Jobs (10,109)
Full Stack Web Developer & AI Automation Engineer (100% Remote)
Develop and maintain high-performance web applications and AI-driven automation systems to improve business efficiency. Manage end-to-end deployment, infrastructure, and monitoring to ensure reliable and scalable product delivery.
Senior Account Executive — AI Implementation Pods
The Senior Account Executive will own the full sales cycle, from qualification and discovery to closing high-value AI implementation engagements. They will also provide clear handoffs to the delivery team and feed market insights back into the sales playbook.
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Lead Solutions & AI Enablement Architect
The Lead Solutions & AI Enablement Architect provides architecture leadership for CenterWell programs, shaping conceptual architectures and governing solution designs. They collaborate with product, engineering, and security teams to align delivery with cloud and data strategies while ensuring compliance with regulatory requirements.
Senior Software Engineer, AI Agent Compute
You will lead the design and development of a scalable, secure agent compute delivery platform using custom cloud VM solutions. This involves collaborating with cross-functional teams to build infrastructure automation, improve platform observability, and support complex AI workflows.
Senior Solution Architect, AI Infrastructure
The architect will lead the design, deployment, and integration of large-scale GPU infrastructure for Public Sector customers. They will serve as a primary technical advisor, managing cluster performance, debugging issues, and aligning product roadmaps with customer needs.
Senior AI Runtime Engineer
You will design and develop runtime and cross-stack optimizations to improve CPU and GPU efficiency for AI models. Additionally, you will collaborate with cross-functional teams to port the runtime stack to new hardware and ensure state-of-the-art performance.
Agentic AI Analyst
The Agentic AI Analyst will design, validate, and operationalize agentic AI use cases to improve customer outcomes and advance the company's AI vision. This role involves building evaluation frameworks, managing agent skills, and simulating agent behavior to ensure performance before production deployment.
AI Engineer
You will build and deploy production-grade LLM-powered and agentic features to enhance nonprofit data accessibility. This involves managing RAG workflows, building evaluation infrastructure, and collaborating with the engineering team on system design and AI strategy.
Senior AI Engineer, Agents
The role involves designing clinical ontologies and building evaluation frameworks for production AI agents. You will also train, fine-tune, and maintain LLM-based systems within clinical workflows.
Revenue Technology & AI Engineer
You will be responsible for building integrations, automations, and data pipelines to connect marketing, sales, and AI systems. You will also develop internal tools and AI-driven solutions to improve lead management and business operations.
AI Presales Leader, Solutions Architect (Req #1411)
The AI Presales Leader will guide AI strategy and adoption while leading a team of presales professionals to deliver practical AI solutions for customers. This role involves acting as a trusted advisor to executives, driving business growth, and overseeing the development of repeatable AI offerings.
Sr. Account Executive (AI Solutions)
Drive revenue growth by identifying and closing AI-powered payment expansion opportunities within the existing client base. Partner with Client Services, Product, and Engineering teams to translate technical AI capabilities into clear business value for stakeholders.
Founding Sales Development Representative (SDR) — AI & Zero Trust Security
The SDR will own outbound pipeline generation by building account lists, cold calling, and running multi-channel outreach to enterprise prospects. They will conduct discovery calls to identify pain points and book qualified meetings for Account Executives.
Senior Manager - Software Development Engineering (Technology & AI)
Lead and develop high-performing engineering teams to design and modernize mission-critical systems for pharmacy benefit management. Manage the full people-leadership lifecycle, operational budgets, and delivery execution while championing modern engineering practices and AI adoption.
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Full Stack (AI) Developer (Talent Pool)
Develop and integrate AI agents with memory and context management using modern frameworks like LangChain and LangGraph. Collaborate with senior engineers to build scalable applications that integrate LLMs with external tools and enterprise systems.
Full Stack (AI) Developer (Talent Pool)
The developer will build and integrate AI agents and LLMs with external tools, APIs, and enterprise systems. They will also contribute to retrieval layers and maintain modern Gen AI-based applications.
Full Stack (AI) Developer (Talent Pool)
You will develop and integrate AI agents and LLMs with external tools, APIs, and enterprise systems. Additionally, you will contribute to building retrieval layers and stay updated on modern Gen AI application best practices.
Full Stack (AI) Developer (Talent Pool)
You will develop and integrate AI agents with memory and context management while leveraging frameworks like LangChain and LangGraph. Additionally, you will integrate LLMs with external tools and enterprise systems to build scalable, AI-powered applications.
Full Stack (AI) Developer (Talent Pool)
You will develop and integrate AI agents and LLMs with external tools, APIs, and enterprise systems. Additionally, you will contribute to building retrieval layers and maintaining scalable applications using modern Generative AI technologies.
AI Deployment Manager
The Agent Deployment Manager leads complex, strategic AI deployments by managing the end-to-end process from discovery and solution design to stable production. They facilitate cross-functional collaboration between product, engineering, and client stakeholders to ensure successful delivery and measurable performance outcomes.
AI Engineering Strategist
The AI Engineering Strategist will design and build production-quality AI solutions that integrate seamlessly into client workflows to drive business impact. They are responsible for the full project lifecycle, from technical architecture and development to stakeholder presentation and team documentation.
Sr. Director, AI Strategy and Operations
The Senior Director of AI Strategy and Operations is responsible for translating AI strategy into scaled business impact by designing AI-powered products and agentic workflows. This role bridges business strategy and AI execution while partnering with cross-functional leaders to deliver measurable business value.
VP, Digital Strategy (AI & Digital Change Management)
The VP will lead complex AI-enabled digital transformation engagements for enterprise clients, focusing on organizational change and operating model modernization. They will serve as a senior client-facing leader, driving business development and ensuring that technology investments result in measurable business outcomes.
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33365-Lead AI Architect
Define and evolve the enterprise architecture for FinThrive's AI ecosystem to integrate AI capabilities across products and business processes. Lead the long-term strategy for agentic AI, machine learning, and intelligent automation while ensuring security, compliance, and operational excellence.
Data & AI Revenue Analyst
Analyze large volumes of commercial data to identify patterns and build predictive models for lead scoring and customer behavior. Collaborate with CRM, Marketing, and Technology teams to translate technical insights into actionable commercial strategies.
Subject Matter Expert (SME) – Java, AWS, and AI
The Subject Matter Expert will provide technical leadership for Java-based applications, AWS cloud environments, and AI-enabled solutions. They will guide development teams on system architecture, design best practices, and the integration of AI/ML tools to support business objectives.
Senior Java Developer – AWS Cloud Migration and AI Models
The role involves designing, developing, and modernizing Java-based enterprise applications while leading their migration to AWS cloud environments. Additionally, the developer will integrate AI models and automation services to enhance system performance and intelligence.
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