Design and implement the core Agent OS platform services, including agent runtimes, memory systems, and trust infrastructure. Partner with cross-functional teams to turn AI use cases into reusable platform patterns for production-grade agents.
Remote Artificial Intelligence Jobs (6,191)
Search = ai
Job category = Software Development
Lead the security, governance, and risk management of AI systems, ranging from enterprise tools to agentic AI pipelines. Architect a multi-layer security framework and conduct adversarial red-teaming to prevent threats like prompt injection and data poisoning.
Lead the design, development, and deployment of Generative AI applications and systems using Large Language Models. Collaborate with stakeholders to translate business needs into scalable technical solutions and mentor team members.
Design and deploy scalable AI-driven applications using Large Language Models, NLP, and speech-based interfaces. Develop backend services and cloud-native AI workloads to support intelligent automation and enterprise solutions.
Design and deploy scalable AI-driven applications using Large Language Models, NLP, and speech-based interfaces. Develop backend services and cloud-native AI workloads to support intelligent automation and enterprise solutions.
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Design and deploy scalable AI-driven applications using Large Language Models, NLP, and speech-based interfaces. Develop backend services and cloud-native AI workloads to support intelligent automation and enterprise solutions.
Design and deploy scalable AI-driven applications using Large Language Models, NLP, and speech-based interfaces. Develop backend services and cloud-native AI workloads to support intelligent automation and enterprise solutions.
Lead complex offensive security engagements while architecting AI-powered platforms and agentic systems to automate the offensive lifecycle. Act as a senior technical leader and trusted advisor to C-suite executives to improve detection and response capabilities.
Design and implement Temporal AI SDK features and integrations across various frameworks and libraries. Take end-to-end ownership of features while collaborating with the developer community and providing technical documentation.
Lead the design and implementation of critical Safety AI initiatives, focusing on real-time perception systems for millions of edge devices. Architect end-to-end computer vision pipelines and drive the technical roadmap for edge and cloud perception.
Develop AI-driven workflows and integrate third-party APIs to build lightweight web applications and internal tools. Collaborate with distributed U.S.-based teams to implement cutting-edge AI initiatives.
Enterprise AI Solutions Engineer 26 APPLICANTS
Maynard Nexsen
·
Full Time
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2 Weeks Ago
Maynard Nexsen
Design, build, and deploy custom AI agents and automated workflows using the firm's approved platform stack. Translate business requirements from legal and administrative leadership into governed, production-scale AI solutions.
Design and implement scalable AI and GenAI solution stacks for customers, focusing on model serving, orchestration, and retrieval pipelines. Lead rapid proof-of-value sprints and migrate AI workloads to Dell infrastructure while ensuring production stability and security.
The AI Transformation Owner defines and executes the AI strategy for the marketing function, identifying high-impact opportunities to reshape workflows. They build AI agent prototypes using low-code tools and drive organizational adoption through a network of champions.
Establish and lead the AI Infrastructure Systems division to deliver next-generation accelerator silicon in datacenter-class form factors. This includes owning the technical roadmap, building a multidisciplinary engineering team, and managing end-to-end product delivery from concept to mass production.
Design advanced, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
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VP, Business Process Engineering & Agentic AI Innovation
Girl Scouts of the USA
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Full Time
·
2 Weeks Ago
Girl Scouts of the USA
Lead the design and implementation of GSUSA's enterprise technology platforms, focusing on the Agent Builder Framework and AI-driven process automation. Oversee platform engineering, manage external MSPs, and align technology investments with the organization's strategic mission.
Lead end-to-end technical implementations and custom integrations of AI tools for enterprise customers. Provide pre-sales technical support and collaborate with product teams to refine the AI roadmap based on customer feedback.
Lead the end-to-end development of AI-native products from concept to production, focusing on building prototypes and shipping increments. Own the technical and UX direction while partnering with engineering to scale probabilistic AI systems.
Design and implement automated validation frameworks and evaluation pipelines for agentic AI systems within a Databricks environment. Establish scalable quality practices, guardrails, and measurable trust thresholds to ensure AI reliability in mission-critical healthcare settings.
Own the discovery, scaling, and maintenance of the generative AI stack to produce consistent AI characters. Architect the technical pipeline for image and video generation to support a growing portfolio of AI-native influencer brands.
Iterate on AI-native growth infrastructure and identify automation opportunities across the customer journey to reduce human touchpoints. Focus on reducing CAC and increasing self-serve conversion through the deployment of AI tools and workflows.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
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Serve as the primary technical partner for AI clients to design evaluation datasets and domain-specific benchmarks. Collaborate with recruiting and operations teams to build expert data pipelines and identify commercial opportunities for account expansion.
Lead the design and implementation of reusable AI agent skills, standards, and workflows to scale agentic development across the organization. Partner with engineering teams to operationalize AI-assisted coding practices and establish production-readiness standards.
Lead the design and implementation of reusable AI agent skills and standards to scale agentic development across the organization. Partner with engineering teams to operationalize AI-assisted workflows and establish production-readiness standards for AI capabilities.
Lead enterprise AI transformation engagements by designing end-to-end solution architectures and advising C-suite stakeholders on AI strategy. Establish AI governance frameworks and data catalog strategies to ensure scalable, responsible AI adoption across diverse industries.
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