Lead the integration of Twilio's AI-native platform services with major hyperscaler AI platforms and industry tools. Bridge the gap between product vision and customer needs to influence R&D priorities and accelerate mass adoption.
Remote Artificial Intelligence Jobs (9,419)
Search = ai
Job category = Software Development
AI Training & Data Labelling Assistant (Temporary Contract)
Secure IQ Services
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Full Time
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1 Week Ago
Secure IQ Services
Build and scale AI-powered platforms using a TypeScript/Next.js frontend and Azure-based backend. Integrate LLM capabilities and third-party APIs while managing the full deployment lifecycle from sandbox to production.
Strategy And Finance Professionals: AI Systems For Complex Business Work
Terac
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Full Time
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1 Week Ago
Terac
Review and evaluate AI-generated solutions for complex business and financial scenarios. Provide detailed feedback to identify logical flaws and improve the AI's strategic reasoning.
Director, Deal Maker- US Strategic Sales for Business, AI and Application Led Transformation
Kyndryl
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Full Time
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1 Week Ago
Kyndryl
Lead the end-to-end development and closure of complex, multi-million-dollar strategic deals focused on AI and application-led transformation. Partner with CxO-level stakeholders to co-create outcome-based solutions and manage commercial strategies and contract negotiations.
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Software Engineer II, AI Apps and Cloud Infrastructure (Remote)
Brain Corp
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Full Time
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1 Week Ago
Brain Corp
Develop and maintain scalable cloud infrastructure on GCP to support AI applications and robotic services. Collaborate with ML and R&D teams to design efficient cloud services and optimize platform performance and cost.
Staff Software Engineer / Architect - AI, CoCounsel FDE
Thomson Reuters
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Full Time
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1 Week Ago
Thomson Reuters
Lead the end-to-end architecture and delivery of production-grade AI solutions and RAG pipelines for legal professionals. Guide system design and establish observability and trust frameworks to ensure scalability and security across AI-native systems.
Lead the architecture for strategic AI initiatives and define enterprise standards for AI-enabled product and platform capabilities. Partner with business and engineering teams to implement scalable, secure AI solutions and AI-powered software delivery practices.
Develop AI agents and prompt engineering workflows while maintaining backend infrastructure using Python. Collaborate with senior engineers in an Agile environment to design, test, and troubleshoot AI-driven services.
Drive the full deal cycle by engaging senior decision-makers at robotics companies to qualify and close new business opportunities. Develop the commercial playbook for voice AI in mobile service robotics and manage strategic partnerships.
Lead the technical strategy and execution for integrating voice AI solutions into mobile service robotics for various customers. Collaborate with sales and product teams to translate field insights into product improvements and clear technical roadblocks to secure deals.
Principal Cybersecurity Architect Identity & Access Management for AI Systems
GE Vernova
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Full Time
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1 Week Ago
GE Vernova
Define the enterprise strategy and long-term IAM architecture for AI systems, large language models, and autonomous agents. Oversee the full identity lifecycle for AI agents to ensure accountability, traceability, and adherence to the principle of least privilege.
Distinguished AI Software Engineer
Frontier Technology Inc.
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Full Time
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1 Week Ago
Frontier Technology Inc.
Serve as a hands-on architect and lead for secure, scalable, and modernized software and data platforms for the DoD and Intelligence Community. The role involves designing distributed systems, implementing DevSecOps pipelines, and mentoring engineering teams to align technical execution with innovation goals.
Evolve and optimize existing batch, analytics, and MLOps platforms while leading the design of an AI-ready data foundation. Develop infrastructure for semantic layers and agent-driven data access patterns to serve both internal users and external clients.
Define and drive the long-term AI/ML architectural vision for Twilio's customer engagement platform, focusing on conversational memory and data intelligence. Lead the strategic roadmap for ML/AI Ops and transition cutting-edge research into resilient, production-grade AI systems.
Lead sales strategies and discussions with senior stakeholders to identify and accelerate AI and cloud-driven transformation opportunities. Manage the sales pipeline and partner ecosystems to drive customer value realization and meet sales targets.
Serve as a technical advisor to drive the adoption of Databricks and Azure Data & AI solutions for customers and partners. Lead architecture reviews, resolve technical blockers, and develop reusable intellectual property to accelerate cloud consumption and business outcomes.
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Lead the innovation and knowledge strategy for CX Learning & Enablement by defining knowledge architecture and implementing AI-driven workflow intelligence. Drive the automation of the content lifecycle and manage the deployment of scalable AI tools and integrations.
Develop and productionize real-time AI anime avatars by building user-facing interaction flows and integrating LLMs, voice, and video generation services. Optimize the end-to-end experience focusing on rendering, latency, and system reliability.
Senior AI Full-Stack Staff Engineer (TypeScript/Node.js)
Talencore
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Full Time
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1 Week Ago
Talencore
Lead small engineering pods in designing and shipping full-stack software, focusing on backend services and AI-enabled development practices. The role involves writing production code, guiding architecture, and partnering with stakeholders to deliver scalable insurance platform solutions.
Build and operate AI-enabled solutions, reusable components, and workflow automations to accelerate enterprise AI adoption. Develop production-quality agents and prompts while implementing engineering controls for data handling and security.
Translate the enterprise AI roadmap into scalable platform architecture and reusable technical patterns. Lead the design of shared AI services, governance controls, and observability frameworks to enable consistent AI adoption across the organization.
The QA Engineer will own product quality across integrations, APIs, and AI-agent workflows, focusing on feature validation and exploratory testing. They will be responsible for building regression suites, investigating production issues, and driving defects to resolution.
The role focuses on building tools, workflows, and practices to help Tailscale's engineering organization effectively adopt AI-assisted development. This includes evaluating AI models, developing security guardrails for AI-generated code, and acting as an internal advocate for AI productivity.
Build and maintain internal tools, workflows, and practices to help engineers utilize AI-assisted development effectively and safely. Partner with leadership to define AI-enablement priorities and track the impact of these tools on engineering velocity.
Build and maintain internal tools, workflows, and practices to help engineers utilize AI-assisted development more effectively and safely. Partner with leadership to define the AI-enablement roadmap and track the impact of AI tooling on engineering velocity.
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Design and deploy agent-based AI systems to improve the quality and reliability of clinical data extraction within a production pipeline. Partner with cross-functional teams to define success metrics and implement scalable AI capabilities in a regulated healthcare environment.
Define and drive the long-term AI/ML architectural vision for Twilio's customer engagement platform, focusing on conversational memory and data intelligence. Lead the strategic roadmap for ML/AI Ops and transition cutting-edge research into resilient, production-grade systems.
Lead the design and development of core AI platform capabilities and scalable backend systems to power GenAI-driven experiences. Collaborate with cross-functional teams to implement shared execution patterns, APIs, and multi-step AI workflows.
Design and develop AI-enabled applications and agentic systems to support decision-making in mining and infrastructure domains. Build scalable full-stack applications integrating LLMs, data pipelines, and cloud-native components.
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