Translate R&D from the AI & Computer Vision team into production-ready algorithmic systems for conflated Map Data products. Design and operate scalable software systems that transform petabytes of aerial imagery into actionable geospatial insights.
Remote Artificial Intelligence Jobs (6,065)
Search = ai
Job category = Software Development
Provide technical leadership and bridge the gap between client requirements and technical delivery for AI solutions. Responsibilities include hands-on development in .NET and Azure, mentoring developers, and implementing Generative AI features.
Design and deploy AI-driven automation solutions and tools to enhance the reliability and efficiency of shipboard applications. Collaborate with cross-functional teams to reduce manual tasks and streamline incident management using LLM-based frameworks.
Build, deploy, and scale AI and GenAI solutions to advance digital transformation and modernize core processes. Collaborate with architects and product managers to translate business initiatives into production-ready capabilities.
The role involves architecting and managing AI infrastructure, orchestration tools, and automation platforms across AWS and Kubernetes. You will also implement AI observability, cost dashboards, and 'Human-in-the-Loop' processes to streamline engineering workflows.
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The intern will act as an internal AI strategist, partnering with executive leadership to identify inefficiencies and implement AI-driven productivity solutions. Responsibilities include evaluating AI tools, developing an actionable strategy, and providing hands-on training to leadership.
Software Engineer Forward Deployed Engineer (Enterprise AI Solutions) – India (Remote)
Resilinc
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Full Time
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4 Weeks Ago
Resilinc
Lead complex enterprise deployments by designing and building production-ready technical solutions and AI extensions. Bridge the gap between platform capabilities and customer data to accelerate time-to-value and create reusable implementation patterns.
Ensure the stability and availability of production applications and blockchain infrastructure through incident management and disaster recovery. Develop AI-driven tools and agents to automate support tasks and conduct technical research on new blockchains and DApps.
Lead the design and deployment of cloud and AI application architectures to help SME and Corporate customers achieve business outcomes. Act as a trusted advisor by resolving technical blockers and optimizing Azure environments to increase customer usage and value.
Lead the architecture, administration, and evolution of the GTM tech stack, focusing on Salesforce and HubSpot. Design and implement AI-powered workflows and automation to increase productivity across revenue teams.
Sr. Analyst, AI Governance
Bayview Asset Management
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Full Time
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4 Weeks Ago
Bayview Asset Management
Establish and oversee an AI governance framework to ensure alignment with business strategy, regulatory requirements, and risk management standards. Partner with cross-functional teams to govern internal and third-party AI solutions while maintaining audit-ready documentation.
Lead the AI platform portfolio and agentic product strategy to make Redox an AI-native healthcare interoperability platform. Drive AI features from prototype to production while partnering with GTM teams to support enterprise vendor use cases.
Lead the design and implementation of production AI systems to solve business problems for partners. Drive the organization's AI strategy through technical leadership, innovation, and mentorship of engineering teams.
Manage end-to-end commercial workflows including MNDAs, order forms, and vendor contracts while implementing AI-assisted processes to improve efficiency. Act as a power user for legal AI tools to design repeatable workflows and maintain the contract repository.
Design and implement AI systems, workflows, and automation pipelines to optimize investment firm operations. Assess emerging AI platforms and own projects from architecture through deployment and iteration.
Design and implement AI systems, workflows, and automation pipelines to optimize investment firm operations. The role involves assessing emerging AI platforms and owning projects from architecture through deployment.
Design, build, and deploy high-performance deep learning systems and GenAI-powered solutions for complex NLP tasks. You will also maintain production ML APIs and data pipelines to automate high-complexity tasks at scale.
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Lead the end-to-end delivery of an enterprise portfolio of agentic AI initiatives from discovery and design to launch and adoption. Partner with executive leaders and cross-functional teams to implement scalable AI agents that improve customer experience and operational performance.
Design, build, and deploy AI-powered automation workflows to improve marketing efficiency and reduce manual work. Collaborate with engineering and data teams to integrate these solutions into the enterprise MarTech ecosystem.
Design and ship production-grade agentic AI systems and RAG pipelines for federal and commercial clients. Build MCP servers and integrate various LLM APIs to create secure, observable, and scalable AI applications.
Build AI-enabled systems by integrating LLMs, RAG solutions, and model-driven features for international clients. Collaborate with global teams to develop AI-assisted development tools and data pipelines.
Design and ship secure MCP connectors and a shared library of agent skills to enable non-engineering roles to build intelligent automation. Establish the security model, credential scoping, and observability instrumentation for the internal agentic platform.
Design and build curated data structures, including vector stores, feature stores, and graph databases, to support AI and ML applications. Lead data discovery efforts to identify trends in lending and account-opening data to inform business and AI use cases.
The Principal Data Architect will design and implement the end-to-end enterprise data architecture, including conceptual, logical, and physical models. They will lead the lakehouse strategy on Azure Databricks and establish standards for data integration, governance, and lineage.
Senior Backend Engineer, Conversational AI
Trellis Technologies
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Full Time
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4 Weeks Ago
Trellis Technologies
Architect and build intelligent backend systems to power AI-driven conversational customer experiences. Lead technical direction, mentor teammates, and manage the full software development lifecycle from planning to maintenance.
Staff Product Manager, Conversational AI
Trellis Technologies
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Full Time
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4 Weeks Ago
Trellis Technologies
Own the quality and conversion metrics of the conversational AI assistant, Abby, by analyzing transcripts and optimizing call flows. Lead the expansion of conversational AI into new products and customer journeys while partnering with analytics to drive revenue-critical outcomes.
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Design and implement automated evaluation frameworks using LLM-as-a-judge patterns to assess AI Agent quality and safety. Build and maintain robust Web and API test suites and integrate them into CI/CD pipelines for continuous quality feedback.
Build and maintain scalable production services, APIs, and RAG pipelines that power AI-driven learning experiences. Collaborate with data scientists to turn model research into reliable, observable software features.
Architect and develop an AI-native pharmacy benefits platform, bridging the gap between stochastic LLM capabilities and deterministic healthcare software. You will design scalable systems, implement safety rails for AI models, and mentor junior engineers in backend and AI-native patterns.
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 implementation projects, focusing on deploying Digital Workers and optimizing recruiter workflows.
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