Lead the end-to-end architecture and execution of data platforms and LLM-powered products for Fortune 500 customers. Drive technical standards, mentor senior engineers, and collaborate cross-functionally to deliver scalable AI-driven marketing technologies.
Remote Artificial Intelligence Jobs (9,419)
Search = ai
Job category = Software Development
Lead the end-to-end architecture for data platforms and LLM-powered products, overseeing data pipelines and model deployment. Drive technical vision, establish engineering standards, and mentor senior engineers to deliver scalable AI solutions for Fortune 500 customers.
Design and implement AI agents with reasoning pipelines and integrate LLM-powered services into scalable architectures. Collaborate with the Team Lead and Product Owner to refactor code and maintain data-driven systems.
Design and build production-grade AI agent systems and REST microservices on Azure. Implement tool orchestration, prompt engineering, and multi-agent patterns to integrate with enterprise data sources.
Design and build enterprise-grade AI solutions and scalable RAG pipelines. Develop production-ready AI applications using modern LLM ecosystems and orchestration frameworks.
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Take ambiguous product ideas and turn them into concrete technical plans and production-ready systems. Build and ship end-to-end features across the full stack while utilizing AI tools to multiply productivity.
Own the end-to-end delivery of complex features from ambiguous ideas to production systems across the full stack. Utilize AI tools daily to accelerate development while maintaining high code quality and managing technical debt.
The AI Operator redesigns internal business workflows by embedding with teams to identify inefficiencies and implementing AI-driven solutions. They are responsible for building the tooling, training teams for adoption, and measuring the impact on time and cost.
Design, deploy, and maintain scalable machine learning pipelines and AI models in production environments. Responsible for automating model lifecycles, monitoring performance, and ensuring system reliability and governance.
AI Developer / AI Engineer – Agentic AI, LLM & Predictive Analytics
KATBOTZ LLC
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Full Time
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4 Weeks Ago
KATBOTZ LLC
Design and deploy Agentic AI systems, LLM applications, and predictive ML models to support business operations. Develop AI chatbots, RAG systems, and automation tools while integrating them with enterprise systems and cloud platforms.
Drive end-to-end sales cycles for Data and AI solutions, focusing on Databricks and Lakehouse architecture for US mid-market and enterprise clients. Partner with cloud providers and internal delivery teams to create value propositions and expand the sales pipeline.
Investment Banking Associate, AI Residency (Part-time) | Applied AI x Corporate Finance
Aptura
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Full Time
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4 Weeks Ago
Aptura
Contribute deal experience to a research project to improve AI reasoning in investment banking and capital markets. Generate, refine, and evaluate content reflecting senior professional thinking from transaction origination to close.
Lead the end-to-end delivery of digital and AI transformation projects by coordinating cross-functional teams and managing project plans. Oversee RAID logs, vendor performance, and the transition to business-as-usual operations within a regulated environment.
Produce in-game and marketing assets using AI-assisted workflows and maintain the established medieval strategy art style. Build and optimize image and video generation pipelines while collaborating with cross-functional teams to deliver production-quality visuals.
Develop the AI layer of SigNoz, focusing on agent orchestration, tool execution, and the MCP server. Build LLM/GenAI observability tools to monitor AI applications using OpenTelemetry.
Develop and execute a strategy for AI and automation solutions across HR and enterprise platforms to improve efficiency. This includes designing workflows, building AI agents, and partnering with IT and Legal to ensure compliant, scalable deployments.
Translate business problems into scalable AI solutions and drive the responsible deployment of AI across the organization. Lead end-to-end automation initiatives to improve productivity, decision quality, and operational speed.
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Software Engineer 4/5 – Model Development and Management, AI Platform
Netflix
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Full Time
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4 Weeks Ago
Netflix
Design and implement the user interface layer for Netflix's AI Platform to accelerate model creation, evaluation, and deployment. Collaborate with researchers and data scientists to build scalable ML infrastructure and gather requirements for various ML use cases.
Design and develop AI agent features for Manny, focusing on the backend, tools, and UI using LangGraph and LangChain. Implement evaluation loops and observability stacks to ensure high response quality and reliability of the AI scheduling assistant.
Compose original soundtracks, themes, and ambient scores for AI-powered animated and live-action series. Edit and implement music within episodes to ensure emotional tone and pacing align with the narrative.
Lead the execution of localized search strategies and manage digital presence across Google Business Profiles and AI discovery platforms. Coordinate with account managers to optimize NAP data, publish hyperlocal content, and maintain online reputation across various directories.
Lead the design and hands-on prototyping of AI-driven customer experience solutions for large enterprise prospects. Translate complex business workflows into technical architectures and build working proofs of concept to validate feasibility.
Lead the execution of Azure Cloud and AI programs across the Americas to drive partner growth and Azure consumption. Develop scalable program models and act as a strategic liaison between partners and Microsoft to optimize ROI.
Design and implement scalable enterprise AI solutions using Microsoft Copilot, AI Agents, and Azure OpenAI. Provide technical leadership to development teams and collaborate with stakeholders to define AI roadmaps and digital transformation strategies.
Own the strategy and execution of website migrations and new digital presences using an AI tech stack. This includes data extraction, keyword mapping, site architecture definition, and technical SEO implementation to drive conversions.
Staff Cyber Security Engineer – AI Data Protection
GE HEALTHCARE
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Full Time
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4 Weeks Ago
GE HEALTHCARE
Own and operate the AI-focused Data Loss Prevention (DLP) platforms to secure enterprise AI adoption and reduce data leakage risks. Automate security workflows and implement AI guardrails across cloud, endpoint, and network environments.
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Design and productionize AI foundations to build durable organizational intelligence and automated workflows. Collaborate across cross-functional teams to implement secure model access, evaluation patterns, and human-in-the-loop systems.
Design and build AI-powered tools to improve operational efficiency, incident response, and root cause analysis for the Credit trading platform. Provide high availability and stability for production environments while reducing mean time to resolution (MTTR).
Grupo QuintoAndar | Senior Head of Data & AI
Grupo QuintoAndar
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Full Time
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4 Weeks Ago
Grupo QuintoAndar
Lead a team of Data Scientists and ML Engineers to deliver high-impact AI solutions and foster a high-performance technical culture. Balance hands-on technical architecture and deployment with strategic alignment of data goals with business objectives.
Lead the technical direction and implementation of the Conversational AI solution (KIRA) to build a modular AI platform for gesund.de. Manage a cross-functional engineering team, overseeing the roadmap, technical architecture, and the quality of German-language AI interactions.
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