AI Engineer
Lead the development and implementation of AI and machine learning solutions on the Azure platform. Build and operationalize Generative AI applications, including RAG solutions and intelligent assistants.
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Lead the development and implementation of AI and machine learning solutions on the Azure platform. Build and operationalize Generative AI applications, including RAG solutions and intelligent assistants.
You will build and maintain an AI-driven metadata engine and automated ownership reassignment logic within an enterprise platform. The role involves refactoring legacy code, managing agent and MCP inventory, and delivering features through agile sprints.
You will design, deploy, and optimize multi-agent workflows using Google's GECX platform and custom code tools. This involves writing backend logic, managing agent hierarchies, and automating quality testing for customer-facing AI solutions.
You will lead the architectural direction of the platform team, focusing on scaling data pipelines and integrating AI-assisted development practices. This involves hands-on coding, mentoring engineers, and modernizing legacy systems into scalable, AI-native infrastructure.
The Senior Solution Sales Executive will own business development for the Crimson AI platform across a Southeastern territory, managing the full sales lifecycle from prospecting to agreement. They will build relationships with healthcare decision-makers and coordinate internal teams to deliver measurable business value through clinical analytics solutions.
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Architect, develop, and deploy production-grade LLM capabilities within the Kayzen Console. Build backend services and integrations while ensuring high performance, reliability, and observability of AI features.
The Director will own the end-to-end annual marketing planning process and lead the organizational shift from human-executed to agent-executed workflows. This role involves building a new team to establish AI governance, capacity modeling, and investment strategies that align with company goals.
Generate high-quality, original visual concepts using AI tools based on briefs from creative strategists. Collaborate with the design team to hand off imagery for compositing into final static advertisements.
Design and produce high-performing ad creatives for AI and game apps by leveraging AI tools and market trend analysis. Iterate on creative variations and optimize production workflows to maintain a competitive edge in the mobile video market.
Design and build an internal automation platform from scratch to streamline marketing and creative production workflows. Research and implement AI-driven solutions to enhance team efficiency and scale operations across multiple product units.
The analyst will drive the adoption of AI-powered tools across the sales and account management organization to improve productivity and win rates. They will also design pilots, analyze performance metrics, and collaborate with cross-functional teams to implement AI-enabled process improvements.
The engineer will design, deploy, and manage large-scale Linux-based bare metal and GPU-accelerated infrastructure for AI/ML environments. They are responsible for maintaining high-performance storage, networking, and hardware lifecycle management to ensure operational excellence.
The AI Tool Support Engineering Lead will manage comprehensive user support and program management for the AFS AI Code Assist tool. This role involves serving as the primary point of contact for users, handling helpdesk inquiries, and managing internal resources to ensure an exceptional user experience.
You will lead the product roadmap for Clayface, defining its analytical capabilities and ensuring the accuracy and reliability of its outputs for consumer brand teams. This involves hands-on design of multi-step AI workflows, close collaboration with engineering, and ensuring the product delivers actionable business insights.
The Staff Engineer will integrate cutting-edge AI models into existing platforms to enhance product capabilities and user experience. They will also design evaluation frameworks, monitor AI performance in production, and collaborate with the data science team on model fine-tuning.
The Product Manager will triage incoming requests to shape them into build-ready specifications and redesign business processes into agentic, productized workflows. They will own the roadmap for internal command centers and partner with engineering teams to ensure efficient, automated deployment of internal tools.
The engineer will partner with AI and automation teams to develop substation co-engineering solutions while performing quality control on physical and P&C design projects. They are responsible for the full project lifecycle from scoping to final design, including construction support and client interaction.
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The AI Developer will design and develop RAG pipelines and modular agentic workflows to transform unstructured documents into actionable knowledge. Responsibilities include managing data ingestion, optimizing Azure AI services, and maintaining technical documentation for internal teams.
Define the product vision and strategic roadmap for AI solutions while managing the product backlog and Agile rituals. Coordinate internal technical teams and external partners to ensure successful delivery and adoption of AI solutions within corporate governance frameworks.
The AI Tool Support Engineering Lead will manage user support and program operations for the AFS AI Code Assist platform. This role involves serving as the primary point of contact for developers, overseeing helpdesk support, and managing internal resources to ensure an exceptional user experience.
The Senior AI Security Engineer will manage the security posture across cloud, application, and corporate environments while building AI-powered security automation. They will lead incident response, conduct threat modeling, and partner with cross-functional teams to embed security into development processes.
The Principal Solution Consultant drives strategic sales by evangelizing AI capabilities and defining Workiva's role in complex enterprise AI infrastructures. This role involves leading technical discovery, delivering tailored demonstrations, and mentoring internal teams to elevate AI fluency.
The Technical Architect will lead the design and implementation of AI-enabled solutions, defining technical strategy and integration patterns across enterprise platforms. They will collaborate with cross-functional teams to ensure scalable, secure, and mission-focused delivery for federal government clients.
The Senior Director Analyst will conduct research and analysis on AI services to provide actionable market insights and forecasts for high-tech industry leaders. They will also serve as a trusted advisor, engaging with clients through meetings and conferences to help them navigate complex business challenges.
The Product Manager will own specific product areas within the AI Finance division, defining roadmaps and success metrics. They will collaborate with engineering, design, and operations teams to launch features and improve user journeys based on data and feedback.
You will own product areas within the AI Finance division, defining roadmaps, success metrics, and user journeys. You will collaborate with engineering, design, and business teams to launch features and iterate based on data and user feedback.
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You will own product areas across financial services, defining user problems, roadmaps, and success metrics. You will collaborate with engineering, design, and business teams to launch features and iterate based on data and user feedback.
You will own product areas across financial services like insurance, payments, and savings, defining roadmaps and success metrics. You will collaborate with engineering, design, and business teams to turn complex financial products into simple, usable customer journeys.
Own product areas across financial services including insurance, payments, and investments. Define product direction, manage roadmaps, and collaborate with cross-functional teams to launch and iterate on features.
Own product areas across financial services including insurance, payments, and savings while defining user problems and roadmaps. Collaborate with engineering, design, and operations teams to launch features and iterate based on data and user feedback.
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