The role involves using AI to create high-performance ads and landing pages while managing campaign budgets. Additionally, the intern will conduct research for data-driven strategies and provide feedback to refine the AI software.
Remote Artificial Intelligence Jobs (6,066)
Search = ai
Job category = Software Development
Lead the technical strategy and engineering execution for securing the enterprise AI ecosystem by building foundational decision infrastructure and technical guardrails. Design secure reference architectures for AI platforms and develop a long-term roadmap for agentic AI identity and posture management.
Design and implement scalable AI systems and agentic applications using LLMs, RAG, and tool calling. Monitor production performance and provide technical leadership for infrastructure and architectural improvements.
Design and scale large-scale ML and data processing pipelines for multimodal data including video and audio. Architect GPU-based compute environments and develop high-throughput backend systems for data ingestion and model training.
The AI Business Strategy Manager will architect the enterprise AI implementation strategy to transform BTSE into an AI-first organization. This includes designing autonomous agentic solutions, establishing AI ROI frameworks, and co-engineering AI-driven security layers.
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Lead the end-to-end implementation of an AI-powered privacy compliance platform for Fortune 100 enterprise clients. Act as the primary technical liaison between client stakeholders and internal engineering teams to ensure successful delivery.
The specialist will design and implement AI solutions, agents, and workflows to enhance customer experience across Managed Services and Customer Success. They are responsible for integrating the AI platform with business systems and enabling program champions to adopt AI tools.
The AI Innovation Leader drives the application and adoption of AI within a specific practice by translating business priorities into a use case pipeline. They act as the primary link between the practice and the central AI Product Team to ensure measurable business impact and productivity gains.
Conversational AI Engineer Conversational AI Engineer
Foundever®
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Full Time
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4 Weeks Ago
Foundever®
Develop and deploy Conversational AI solutions including chatbots and voicebots using LLMs and Agentic AI. Manage technical integrations, prompt engineering, and the maintenance of STT/TTS systems to ensure high-quality automation.
Build and maintain marketing analytics infrastructure, dashboards, and attribution frameworks to track performance. Design and implement AI agents and automations to reduce manual effort and enable the marketing team's AI adoption.
Senior Strategic Consultant - AI Solutions, Automation & Analytics
Bullhorn
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Full Time
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4 Weeks Ago
Bullhorn
The Senior Strategic Consultant advises customers on digital transformations using AI, automation, and analytics to improve business operations. They lead the end-to-end delivery of AI-driven Digital Workers and scalable workflow architectures to drive KPI improvements.
Design and develop scalable backend services and REST/gRPC APIs for fleet management and mobility payment solutions. Lead system design decisions, mentor junior engineers, and provide live-site support for production applications.
Build and scale AI agent systems, including agentic logic and high-performance backend infrastructure for an enterprise SaaS application. Develop internal agents, LLM reasoning loops, and robust full-stack web components while ensuring data optimization and engineering excellence.
Define and drive the product strategy for GitLab's AI agent orchestration platform, focusing on core capabilities like agent memory and context. Partner with Engineering and Design to translate complex technical AI needs into clear requirements and a scalable roadmap.
Own the end-to-end execution of multi-channel marketing campaigns, from planning and copywriting to launch and reporting. Build AI-driven automation and operational frameworks to scale the campaign engine and drive pipeline growth.
Develop modern warehouse and fulfillment software by implementing operational logistics processes into code. Utilize AI tools to build prototypes, automate processes, and develop full-stack features using TypeScript and Go.
Manage a high volume of complex commercial transactions, focusing on SaaS and data licensing agreements for various internal teams. Advise on AI governance, regulatory compliance, and the implementation of AI-enabled legal tools to improve operational efficiency.
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Define and lead the enterprise strategy for data warehousing, analytics, and AI-enabled capabilities to support mission-critical decision making. Oversee the design and operational maturity of scalable data platforms and pipelines while partnering with executive stakeholders to drive business value.
Found and lead the AI Center of Excellence by designing the operating model, hiring the team, and deploying production AI workflows. Oversee the firm's AI production strategy, governance policies, and ROI tracking across various service lines.
Own and evolve the web layer of the Stratos AI-powered marketing analytics platform and the company's marketing site. Build and maintain complex UI components for campaign management, data dashboards, and AI-facing interfaces using AI-assisted development tools.
Act as a technical advisor to biopharma companies to accelerate drug discovery using NVIDIA's computing platform. Responsibilities include building proof-of-concept demonstrations, scaling AI deployments, and guiding customers in implementing production-grade inference and training algorithms.
Design and deploy scalable AI software components including foundation model training, LLM inference, and observability. Partner with cross-functional teams to deliver AI-powered products and contribute to the long-term technical roadmap of foundational AI systems.
Data & Policy Graduate Fellow - AI Policy & Public Projects
New Jersey Innovation Authority
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Full Time
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4 Weeks Ago
New Jersey Innovation Authority
The fellow will conduct policy research and project planning for large-scale public projects, including AI usage in education and regulatory analysis. They will utilize LLM tools to analyze regulatory code and lead stakeholder engagement to improve government services.
Generative AI Graduate Fellow - Technical Research and Development
New Jersey Innovation Authority
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Full Time
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4 Weeks Ago
New Jersey Innovation Authority
The fellow will research, build, and evaluate generative AI tools to improve government operations and resident services. Responsibilities include developing prototypes, executing testing plans for accuracy and bias, and creating instructional guides for state employees.
Senior Manager, AI Engineering (Agent OS Platform)
ServiceTitan
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Full Time
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4 Weeks Ago
ServiceTitan
Lead a hands-on AI platform team to build the core Agent OS, focusing on runtime, memory, and trust layers. Translate AI strategy into concrete platform capabilities while managing architecture, implementation, and production delivery.
Design and maintain scalable full-stack applications while integrating AI-driven capabilities like LLMs and intelligent automation into healthcare workflows. Ensure production reliability, security, and HIPAA compliance for all shipped services.
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Develop AI-assisted workflows and Power BI dashboards to optimize internal processes and sales engineering metrics. Provide technical AI insights and support proof-of-concepts during customer-facing presales engagements.
Design and develop engaging levels for new puzzle games while managing the difficulty curve for smooth player progression. Contribute to the improvement of the level editor to increase workflow efficiency and creativity.
Research, prototype, and integrate AI-powered solutions into Unity projects and internal R&D pipelines. Develop and optimize gameplay systems, UI animations, and content generation workflows.
AI Engineer - Bees Personalization
AB InBev | Growth Group
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Full Time
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4 Weeks Ago
AB InBev | Growth Group
Design and deploy complex multi-agent AI systems capable of reasoning, planning, and task execution. Implement RAG pipelines and optimize model serving for low-latency, high-throughput production environments.
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