Analyze marketing workflows to design and integrate scalable AI-enabled business solutions and Generative AI tools into the MarTech ecosystem. Collaborate with cross-functional engineering and security teams to ensure AI services meet enterprise standards for scalability, governance, and performance.
Remote Artificial Intelligence Jobs (9,419)
Search = ai
Job category = Software Development
The AI Program Manager drives the delivery and adoption of an AI-enabled PMO tool across Professional Services and leads billable client engagements. Responsibilities include identifying high-impact AI use cases, governing AI outputs, and managing the end-to-end program lifecycle from intake to rollout.
S-CPT-0046 AI Search (SO) & Organic Growth Strategist (SEO / AEO / GEO)
20four7VA
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Full Time
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1 Week Ago
20four7VA
Lead the planning and execution of organic search strategies, focusing on connecting SEO with content strategy to drive growth. Optimize content for both traditional search engines and AI-powered platforms like ChatGPT, Gemini, and Perplexity.
Act as the primary post-sales technical point of contact to drive adoption and value realization for healthcare and life sciences customers. Lead technical deployments, map workflows, and partner with internal product and research teams to align OpenAI capabilities with customer business goals.
Design and build backend services and inference pipelines to power an AI-native productivity platform. Optimize latency and throughput while ensuring the reliability and scalability of distributed systems in production.
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Design and implement complex AI systems and agentic workflows capable of multi-step reasoning and decision making. Lead systematic experimentation, model optimization for small language models, and mentor junior scientists on GenAI development.
Rapidly prototype AI-powered applications and workflows using AI-assisted coding tools and modern full-stack frameworks. Collaborate with product and UX teams to transform ideas into functional demos and optimize developer productivity through automation.
The specialist manages the full lifecycle of AI solutions, specifically Claude for Microsoft 365, from initial discovery and secure configuration to deployment and governance. They also provide ongoing support, monitoring environment health, and optimizing AI skills to meet client needs.
Manage AI-powered client engagements from onboarding to reporting while serving as the primary point of contact. Coordinate timelines and cross-functional teams using project management tools to optimize AI visibility campaigns and operational workflows.
Data & AI Finance Strategy Intern - Fall 2026 Internship Remote
Sentara Health
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Full Time
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1 Week Ago
Sentara Health
The intern will transform healthcare and business data into meaningful insights by building data pipelines and creating dashboards. They will also support project deliverables, conduct research, and complete a capstone project focused on data quality or automation.
Sales Engineering Operations Analyst – Salesforce, Reporting & AI
Sophos
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Full Time
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1 Week Ago
Sophos
The role focuses on maintaining and enhancing Power BI dashboards and providing first-line Salesforce and Vivun support for the Sales Engineering organization. It also involves streamlining reporting workflows using AI tools and collaborating with SalesOps to ensure data integrity.
Design and scale production-ready Multi-Agent Systems and complex AI workflows using Google's Agent Development Kit. Integrate AI agents with enterprise datastores and APIs to move prototypes into mission-critical business systems.
CX Knowledge Base & Conversational AI Manager
Ashley Digital
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Full Time
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1 Week Ago
Ashley Digital
Own the end-to-end performance of AI customer experiences by designing conversational workflows and managing the enterprise knowledge base. Analyze performance metrics like CSAT and containment to continuously optimize AI interactions and business outcomes.
Lead the global R&D strategy with a focus on integrating AI and Machine Learning to modernize clinical trial platforms. Manage multidisciplinary engineering teams, budgets, and strategic partnerships to deliver scalable, AI-augmented healthcare solutions.
Drive the adoption of AI-assisted development by coaching engineers and building internal AI integrations and tooling. Measure productivity gains through data-backed metrics and establish best-practice frameworks for AI usage across the organization.
Drive the adoption of AI-assisted development by coaching engineers and building internal AI integrations and tooling. Measure productivity gains through data-backed metrics and establish best-practice frameworks for AI usage across the organization.
Drive the adoption of AI-assisted development by coaching engineers and establishing best practices across the organization. Build internal AI integrations and tooling while tracking productivity metrics to measure the impact of AI enablement.
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Drive the adoption of AI-assisted development by coaching engineers and building internal AI integrations and tooling. Measure productivity gains through data-backed metrics and establish best-practice frameworks for AI workflows.
Drive the adoption of AI-assisted development across engineering and GTM teams through coaching, best-practice propagation, and the creation of internal AI tooling. Measure productivity gains using data-backed metrics and maintain a network of AI champions to scale enablement.
Drive the adoption of AI-assisted development by coaching engineers and building internal AI integrations and tooling. Measure productivity gains through data-backed metrics and establish best-practice frameworks across the engineering organization.
Drive the adoption of AI-assisted development by coaching engineers and establishing best practices across the organization. Build internal AI integrations and tooling while tracking productivity gains through data-backed metrics.
Drive the adoption of AI-assisted development by coaching engineers and building internal AI integrations and tooling. Measure productivity gains through data-backed metrics and establish best-practice frameworks for AI usage across the organization.
The role involves integrating LLMs into company processes, developing MCP solutions, and writing scripts in Python or JavaScript. The engineer will decompose processes, maintain existing automations, and stay updated on AI trends to provide business value.
Advise clients on the development and implementation of AI strategies, governance models, and transformation roadmaps. Lead complex data-driven programs while managing budgets, quality, and executive-level stakeholders.
Build and ship mobile features for an AI Neobank App across Android and iOS platforms. Collaborate with product and design teams to create intuitive financial service flows and improve app reliability.
Build and ship mobile features for an AI Neobank app across Android and iOS platforms. Collaborate with product and design teams to create intuitive financial service flows and improve overall app reliability.
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We'll notify you when new positions matching this search are posted
Build and ship mobile features for an AI Neobank App across Android and iOS platforms. Collaborate with product and design teams to create intuitive financial service flows and improve app reliability.
Build and ship mobile features for an AI Neobank app across Android and iOS platforms. Collaborate with product and design teams to create intuitive financial service flows and improve app reliability.
Build and ship mobile features for an AI Neobank app across Android and iOS platforms. Collaborate with product and design teams to create intuitive financial service flows and improve overall app performance.
Build and ship Android features for an AI Neobank app, focusing on clean mobile flows for financial services. The role involves integrating backend APIs and optimizing app performance, responsiveness, and memory usage.
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