The Director will serve as the most senior technical leader on major engagements, advising C-level executives on AI strategy and architectural roadmaps. They are responsible for building and scaling a high-performing team of AI Engineers while owning the technical success and quality of the Professional Services portfolio.
Remote Artificial Intelligence Jobs (6,191)
Search = ai
Job category = Software Development
The role involves designing and developing machine learning infrastructure, tooling, and models to enable teams to deliver world-class experiences and build internal products/platforms for incorporating AI features. You will also consult with teams on ML patterns, guide them through customer experience creation, and build scalable services for data integration and platform extensions.
The role involves designing and developing machine learning infrastructure, tooling, and models to enable teams to deliver world-class experiences and build internal platforms for incorporating AI features. You will also consult with teams on machine learning patterns, tradeoffs, and guide them through creating excellent end-to-end customer experiences.
The Staff Software Developer will act as a hands-on technical leader, focusing on designing, building, and shipping AI-powered product features, including LLM-based agents and intelligent automation, by owning complex technical problems end-to-end. This role involves close collaboration with the Data Engineer to define data needs and integrating emerging AI technologies while leading by example in engineering best practices and mentoring.
The Staff Backend Engineer will define the technical architecture and roadmap for the Duo Chat group, solving ambiguous backend problems by delivering secure, well-tested, and performant solutions with minimal guidance. Responsibilities include integrating generative AI capabilities, developing features across Python and Ruby on Rails services, and improving observability and code quality standards.
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The main responsibilities involve building and deploying AI agents and automation workflows to solve real business problems across various departments like marketing, SEO, operations, and analytics. This includes experimenting with modern AI tools, connecting them to necessary systems, and helping teams adopt these new AI solutions.
Fractional Chief AI Officer - AI Transformation, Engineering Leadership
OneSeven Tech
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Full Time
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12 Weeks Ago
OneSeven Tech
The role involves architecting custom AI adoption frameworks and driving the operationalization of AI across targeting, content, and revenue analytics in partnership with product and engineering teams. Additionally, the individual will manage AI governance, safety, and ethical execution while acting as C-Suite advisory.
This role is responsible for driving the internal execution of Artificial Intelligence initiatives, focusing on deploying Generative AI, predictive modeling, and intelligent automation across real business workflows. The Product Owner will define product requirements, manage AI roadmaps, and coordinate delivery across engineering, data science, and business teams to solve problems at scale.
The main responsibilities involve building and deploying AI agents and automation workflows to solve real business problems across various departments like marketing, SEO, operations, and analytics. This includes experimenting with modern AI tools, connecting them to necessary systems via APIs, and ensuring team adoption.
The specialist will make scripted and unscripted voice calls (10-15 total) with an AI agent, producing clear, natural Haitian Creole speech following guidelines. They must evaluate the AI agent's understanding of spoken language, test speech recognition, and report any intelligibility issues.
The role involves building and maintaining integrated productivity metrics dashboards for AI tools, monitoring their usage, and creating automated data feeds for the Developer Productivity Office. Responsibilities also include analyzing trends, surfacing insights for decision-making, and supporting leadership reporting requirements.
The AI Mentor will guide and inspire high school students in the realm of AI, empowering them to develop skills necessary to create independent projects within the course. This includes working closely with international students, maintaining communication outside sessions, and evaluating participant progress.
Commercial Account Manager - Mist AI at HPE Networking
Hewlett Packard Enterprise
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Full Time
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12 Weeks Ago
Hewlett Packard Enterprise
The Commercial Account Manager will act as the commercial sales expert, assisting the HPE Networking Sales team with sales and solution activities, leading Mist and Aruba sales engagements, presentations, and demonstrations. This role involves analyzing customer requirements to develop aligned solutions and becoming the subject matter expert for AI for Networking to position AI Ops effectively.
The AI Engineer will build automation systems to structure, process, and optimize content for AI-driven discovery, focusing on applying large language models to content infrastructure. This involves creating workflows to ingest, transform, and structure content for efficient understanding by search engines and AI assistants.
System Software Engineer - AI 24 APPLICANTS
Delos Data Inc
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Full Time
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12 Weeks Ago
Delos Data Inc
The engineer will collaborate across the stack to influence foundational technology design, ensuring it meets the needs of next-generation AI models. Key tasks include identifying and resolving performance bottlenecks in distributed workloads through deep-dive analysis of the software-hardware interface and conducting rigorous performance benchmarking.
This role involves translating the CEO and Board vision into actionable priorities, OKRs, and execution plans while driving cross-functional initiatives and preparing the CEO for key engagements. Day-to-day tasks include running leadership meetings, tracking accountability, drafting communications, and resolving organizational blockers.
The specialist will use their Audacity experience to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world audio editing workflows. This involves evaluating AI content and providing feedback to improve AI understanding of audio tasks and post-production processes.
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The specialist will use their BlenderBIM (Bonsai) experience to develop tool-related questions for AI training. They must review AI-generated responses for accuracy and relevance to real-world BIM coordination and AEC data workflows.
The specialist will use their Ardour experience to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world audio engineering and music production workflows. This involves evaluating AI-generated content and providing feedback to improve AI understanding of audio tasks.
The primary role involves using FreeCAD BIM/IFC expertise to create tool-related questions and rigorously review AI-generated responses for accuracy and relevance to real-world computational design and BIM coordination workflows. This feedback loop is crucial for training AI models to better understand AEC workflows.
The specialist will use their Inkscape experience to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world graphic design and brand identity workflows. This involves evaluating AI content and providing feedback to improve AI understanding of visual tasks.
The specialist will use their LMMS experience to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world music production workflows. This involves evaluating AI-generated content and providing feedback to improve AI understanding of music tasks and creative production.
The specialist will use their OpenShot experience to formulate questions related to video editing tools and then review AI-generated responses for accuracy and relevance to real-world content production workflows. This involves evaluating AI output based on practical video editing and content creation tasks.
The specialist will use their Ngspice experience to develop tool-related questions and rigorously review AI-generated responses for accuracy and relevance to real-world analog circuit design and simulation workflows. This involves providing feedback to help the AI better understand electronics workflows and circuit design tasks.
The specialist will use their Krita experience to formulate tool-related questions and review AI-generated responses for accuracy and relevance to real-world illustration and concept art workflows. This involves evaluating AI-generated content and providing feedback to improve AI understanding of visual tasks.
The specialist will use their ParaView experience to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world CFD and scientific visualization workflows. This involves evaluating AI-generated content and providing feedback to improve AI understanding of computational science tasks.
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The primary role involves using hands-on Qucs-S experience to create tool-related questions and rigorously review AI-generated responses for accuracy and relevance to real-world RF and microwave circuit design workflows. This feedback loop is designed to help the AI better understand complex engineering tasks and simulation processes.
The primary responsibility involves using SolveSpace experience to create tool-related questions and then reviewing AI-generated responses for accuracy and relevance to real-world mechanical design and engineering workflows. This work supports AI research by providing expert feedback to improve the AI's understanding of engineering tasks.
Contributors will use their hands-on experience with Shotcut to formulate tool-related questions and subsequently review AI-generated responses for accuracy and relevance to real-world video editing tasks. This feedback loop is designed to help the AI better understand video editing workflows and post-production requirements.
The Head of AI is responsible for orchestrating and managing the end-to-end delivery of AI and Data initiatives across multiple industries in North America, ensuring client commitments are met with high quality and efficiency. This involves leading delivery, overseeing operations, engaging with clients, establishing governance frameworks, and collaborating with technical and business teams.
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