Design and govern AI prompt workflows to accelerate the delivery of ServiceNow customer implementations. Ensure the quality and accuracy of AI-generated artifacts while aligning them with professional services go-to-market motions.
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Design and govern AI prompt workflows to accelerate the delivery of ServiceNow customer implementations. Ensure the quality and accuracy of AI-generated artifacts while aligning them with professional services go-to-market motions.
Design and govern AI prompt workflows to accelerate the delivery of ServiceNow customer implementations. Ensure the quality and accuracy of AI-generated artifacts while aligning them with professional services go-to-market motions.
Design and govern AI prompt workflows to accelerate the delivery of ServiceNow customer implementations. Ensure the quality and accuracy of AI-generated artifacts while aligning them with professional services go-to-market motions.
Design and govern AI prompt workflows to accelerate the delivery of ServiceNow customer implementations. Ensure the quality and accuracy of AI-generated artifacts while aligning them with professional services go-to-market motions.
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The AI Enablement Lead is responsible for driving internal AI adoption by designing training programs and establishing organizational best practices. They will build production-ready internal AI tools and develop the company's internal AI roadmap in collaboration with leadership.
Drive large-scale AI workflow adoption across enterprise fashion and retail brands by identifying high-impact workflows and operationalizing best practices. Act as a strategic advisor to executive stakeholders to guide organizational transformation and influence product roadmap prioritization.
Design and develop intelligent backend services and AI-native workflow orchestration solutions using Java and Spring Boot. Collaborate with architects to build scalable, secure APIs and integrate AI-driven capabilities for automation and decision support.
Lead the design and development of Java-based backend services and AI-enabled workflow automation solutions. Provide technical leadership through code reviews, mentoring engineers, and driving the adoption of AI-native development patterns.
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.
The role involves partnering with federal sales teams to design and demonstrate AI solutions that align with agency missions and security standards. It requires bridging the gap between business objectives and technical implementations to drive AI adoption across federal agencies.
Build and deploy end-to-end AI-powered voice and messaging agents for healthcare and life sciences clients. Translate complex client workflows into technical agent designs and integrate them with EHR/EMR and CRM systems while ensuring HIPAA compliance.
Identify and replace manual marketing workflows with scalable, AI-driven systems and agentic workflows. Build the technical infrastructure for AI-queryable knowledge foundations and improve discoverability in AI-driven search environments.
Lead the strategy and execution of Zip's AI-powered product portfolio, focusing on agentic AI systems for consumer and merchant experiences. Collaborate with cross-functional teams to drive measurable ROI, adoption, and scalability of AI products within a fintech environment.
Lead client engagements from discovery through delivery to help organizations integrate AI into their workflows and achieve measurable business outcomes. Partner with practice leadership to refine methodologies, offerings, and adoption frameworks for the AI Change Management practice.
Drive the rapid experimentation and delivery of AI-enabled products within the pharmacy and patient services domain. Bridge the gap between business, clinical, and technical teams to integrate AI into real-world workflows and measure operational impact.
Develop security architecture requirements and secure designs for AI technology solutions across the enterprise. Lead threat modeling, risk analyses, and the implementation of security safeguards for GenAI and Agentic AI solutions.
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Lead a team of digital program managers to define and execute AI roadmaps aligned with business objectives. Oversee the end-to-end AI lifecycle from problem definition to deployment while coordinating across technical and legal teams.
.Net Developer with AI Expertise (GitHub Copilot, Claude, AI/ML) | Remote | USC/GC
TMS LLC
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Full Time
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2 Days Ago
TMS LLC
Design, develop, and deploy AI-powered applications and agents using LLMs and .NET technologies. Build and maintain backend services on Microsoft Azure while optimizing Oracle Database performance.
Lead the end-to-end development of an AI-driven mid-frequency trading operation, from hypothesis generation to live P&L. Own the research-to-production pipeline, including signal research, portfolio sizing, and the scaling of a high-caliber team.
Lead the end-to-end design and delivery of Agentic AI solutions to improve customer experience and operational efficiency. Translate business KPIs into scalable AI architectures and drive alignment between stakeholders and technical teams.
Architect and scale the Finance reporting and analytics ecosystem, integrating ERP and EPM systems to support commercial decision-making. Lead the Finance AI strategy by building AI agents and automated workflows for variance analysis and forecasting.
Staff Engineer, Distributed Storage and HPC & AI Infrastructure
Together AI
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Full Time
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2 Days Ago
Together AI
Design and deliver multi-petabyte storage systems and high-performance parallel filesystems optimized for AI training and inference workloads. Build Kubernetes-native storage operators and optimize end-to-end data paths to achieve high throughput and low latency.
Principal Architect, AI & Developer Productivity (Remote - US Eastern or Central Time Based Only)
Togetherwork
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Full Time
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2 Days Ago
Togetherwork
Define and operationalize an AI-assisted software development lifecycle platform to improve developer throughput and software quality. Establish governance, security guardrails, and ROI measurement for AI tooling across the organization's portfolio.
Lead the internal AI transformation by building and shipping production-ready agents to automate workflows for Go-to-Market and Customer Experience teams. Define the internal agent platform's orchestration patterns, skills library, and evaluation discipline to scale AI capabilities across the organization.
Evaluate, configure, and deploy AI-powered tools to enhance operational efficiency across various business teams. You will bridge the gap between off-the-shelf AI products and practical workflows while ensuring security and compliance in a healthcare environment.
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Evaluate, configure, and deploy AI-powered tools to enhance operational efficiency across various business teams. Collaborate with cross-functional stakeholders to identify high-leverage AI opportunities and ensure secure, compliant implementation in a healthcare environment.
Lead the design and implementation of scalable AI governance frameworks and operating models for enterprise clients. Partner with senior leadership to align AI strategy with risk management, value realization, and FinOps guardrails.
Own the data and AI architecture, integration design, and governance for enterprise retail and CPG partners. Bridge partner technical requirements with internal R&D roadmaps and prototype solutions in real-time.
Own the data and AI architecture, integration design, and governance for enterprise retail and CPG partners. Bridge partner technical requirements with internal R&D roadmaps and prototype solutions in real-time.
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