Lead a team of embedded agentic engineers to build AI-driven workflows and an agentic harness integrated with Claude. Oversee the production of Databricks solutions, manage the developer community, and ensure high-quality shipping of AI systems.
Remote AI Engineer Jobs (2,384)
Search = AI Engineer
Design and deploy scalable AI and generative AI solutions, including copilots and agentic workflows, across healthcare and public sector domains. Collaborate with cross-functional teams to translate business requirements into technical prototypes and production-ready assets.
Design and deploy scalable AI and generative AI solutions, including copilots and agentic workflows, across healthcare and public sector domains. Collaborate with cross-functional teams to translate business requirements into technical designs and reusable AI accelerators.
Lead the Applied AI and Data Platform organization to transform AI models into reliable agents for healthcare administrative work. Own the AI roadmap, scale data operations, and build production-grade evaluation and observability systems.
Lead the AI solutions practice by blending technical engineering with revenue-driving presales and customer-facing prototyping. Manage a team of forward-deployed engineers to build and deliver AI-native products for healthcare payors and providers.
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The role involves the hands-on implementation of Generative AI solutions. The engineer will focus on designing and engineering digital experiences for enterprise clients.
Architect and ship end-to-end AI applications while serving as the technical authority for the engineering team. Lead technical direction, review solution architectures, and mentor engineers through code reviews and growth plans.
Lead enterprise discovery sessions to identify business drivers and design scalable AI and cloud solutions within the Microsoft ecosystem. Responsible for producing high-quality SOWs and bridging the gap between sales, delivery, and executive stakeholders.
Lead the design and deployment of agentic AI solutions and LLM-powered workflows for GTM stakeholders. Own the full lifecycle from architecture and RAG system optimization to CI/CD pipelines and platform observability.
Lead the transition of the CaseWorks platform into an AI-first system by personally designing and building foundational AI capabilities. Transition from a solo builder to a leader who scales the engineering team and modernizes legacy components into cloud-native services.
Manager, AI Engineering - AI & Business Tech Engineering
DigitalOcean
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Full Time
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2 Weeks Ago
DigitalOcean
Lead and grow a distributed team of AI engineers to build internal AI copilots, agents, and a supporting AI platform. Act as a player-coach by contributing to architecture and prototypes while re-engineering business processes to be AI-native.
Lead the planning and delivery of strategic AI initiatives while guiding a team of AI and software engineers. Partner with cross-functional stakeholders to translate business priorities into technical roadmaps and high-quality AI solutions.
Lead the delivery engine for an engineering organization transitioning to agentic AI development patterns and modernization. Manage the integration of the Solovis and Venn engineering teams while owning KPI frameworks and capacity planning.
Lead the strategy, architecture, and execution of agentic AI systems across Amex Technology. Build and manage high-performing engineering teams to deliver scalable, production-grade autonomous workflows and decision support systems.
Develop and optimize generative AI solutions, including LLMs and RAG systems, to support mission-critical information operations. Assist in prompt engineering, research on emerging AI techniques, and the creation of evaluation frameworks and technical documentation.
Lead the engineering side of the Data and Analytics organization, owning the end-to-end data lifecycle from source to consumption. Drive the technical roadmap for data platforms and analytics engineering while managing multiple engineering managers and their teams.
Design and develop scalable AI solutions and machine learning models to support a US Government client. Lead project requirements from inception to completion while providing technical leadership and strategic guidance.
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Lead multiple software engineering teams to deliver high-quality solutions using an AI-native approach to accelerate delivery and improve effectiveness. Partner with cross-functional stakeholders to align technology execution with business priorities and healthcare compliance requirements.
Design and implement complex, multi-file coding tasks including bug fixes, feature development, and test suites. Review peer-generated tasks for accuracy, realism, and alignment with specifications.
Lead the strategy and execution of internal AI transformation by building a secure, scalable AI platform for employee workflows. Partner with cross-functional teams to integrate AI capabilities into enterprise systems and measure operational productivity gains.
Senior Director, AI Engineering and Transformation
ABC Financial Services
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Full Time
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3 Weeks Ago
ABC Financial Services
Architect and execute the AI adoption roadmap across all platforms while managing the maturity spectrum for engineering teams. Lead the development of reference implementations and partner with executives to align AI transformation with business outcomes.
AVP, AI Engineering (Remote - EST)
Arch Insurance Group Inc.
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Full Time
·
4 Weeks Ago
Arch Insurance Group Inc.
Lead the design and implementation of multi-agent AI systems to automate underwriting and claims processes. Establish coding and observability standards while managing onshore and offshore engineering teams.
Drive the overall model development life-cycle from ideation to operations, including deployment of AI models. Partner with product and engineering teams to identify AI/ML opportunities and ensure alignment with organizational strategy.
Lead AI engineering teams to design, build, and deploy scalable AI-powered products that align with strategic business goals. Oversee the end-to-end delivery process from concept to production while partnering cross-functionally to integrate AI capabilities.
Coach and mentor Level 6 AI Engineering apprentices through the full machine learning lifecycle from scoping to deployment. Deliver 1:1 coaching and workshops while guiding learners through portfolio development and End Point Assessments.
Lead the technical vision and engineering team to implement Generative AI solutions for fraud detection and decision automation. Drive the design of scalable AI systems while ensuring robust governance, monitoring, and alignment with business priorities.
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Lead the data engineering team to architect a scalable data ecosystem and production-ready AI features. Manage cross-functional stakeholders to define technical roadmaps and ensure enterprise-wide data governance and compliance.
Lead the design, development, and deployment of internal enterprise AI solutions to drive business transformation and operational efficiency. Manage a team of AI engineers while architecting agentic workflows and RAG pipelines across Microsoft and Anthropic ecosystems.
Lead a Forward Deployed AI engineering team to deliver AI-powered workflow transformations across G&A functions. Act as a player-coach by spending half of the time hands-on building agents and automation pipelines while managing the strategic roadmap and stakeholder alignment.
Lead a specialized GTM AI Engineering team to build and manage AI automations and intelligent agents that multiply human effort across Sales, Marketing, and Customer Success. Translate the GTM AI strategy into technical roadmaps and oversee the end-to-end lifecycle of AI solutions from proof-of-concept to deployment.
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