AI Developer (Microsoft Stack)
Develop and deploy AI-driven solutions using Azure AI Foundry, Copilot Studio, and Power Platform. Collaborate with clients to design scalable AI architectures and integrate them with Microsoft 365 services.
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Develop and deploy AI-driven solutions using Azure AI Foundry, Copilot Studio, and Power Platform. Collaborate with clients to design scalable AI architectures and integrate them with Microsoft 365 services.
Lead the product function by defining the global strategy, macro-level roadmap, and market positioning for AI-powered task mining. Mentor product managers and designers while improving the operating model to align engineering and commercial functions.
Lead the implementation and operationalization of AI tools, specifically Claude Enterprise, to transform agency workflows. Partner with leaders to identify efficiency opportunities and develop enablement resources like playbooks and prompt libraries.
The role focuses on building and maintaining the infrastructure necessary to support AI initiatives within a leading radiology practice. It aims to innovate clinical value and technology to transform radiology services.
The role involves embedding with client teams to diagnose operational friction and redesign workflows using AI-powered solutions. You will build functional prototypes and establish operating models to drive technology adoption and measurable ROI.
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The role involves embedding with client teams to diagnose operational friction and redesign workflows using AI-powered solutions. You will build functional prototypes and establish operating models to drive technology adoption and measurable ROI.
The role involves embedding with client teams to diagnose operational friction and redesign workflows for AI-powered business transformation. You will build functional AI prototypes and establish operating models to drive technology adoption and measurable ROI.
The role involves embedding with client teams to diagnose operational friction and redesign workflows using AI-powered solutions. You will build functional prototypes and establish operating models to drive technology adoption and measurable ROI.
Lead the AI Quality & Governance function by building platforms for AI observability, evaluations, and policy enforcement. This hands-on role involves writing production code and establishing standards for production-ready AI across the organization.
The role involves mapping and redesigning creative workflows to build AI-powered pipelines within real production environments. You will integrate AI tools into existing marketing technology stacks and establish governance frameworks for brand safety and adoption.
Own the product vision and roadmap for the AI Sales platform, focusing on autonomous inbound conversion and revenue expansion. Translate proprietary ML predictions into market-leading product experiences that drive pipeline growth and revenue for customers.
Build and manage AI-powered marketing systems to automate complex workflows and eliminate manual operational bottlenecks. Design scalable marketing operating rhythms and executive reporting to improve efficiency across Growth, CRM, and Brand teams.
Develop and deploy Generative AI and machine learning solutions to improve healthcare payment integrity and quality of care. Collaborate with stakeholders to assess business problems and build end-to-end data pipelines and models for production.
The role involves mapping and redesigning creative workflows to build AI-powered pipelines within real production environments. You will integrate AI tools into existing marketing technology stacks and establish governance frameworks for brand safety and adoption.
Map and redesign creative workflows to identify inefficiencies and build AI-powered pipelines for production environments. Establish governance frameworks for brand safety and train teams to adopt new AI-driven operational models.
The role involves mapping and redesigning creative workflows to build AI-powered pipelines within real production environments. You will integrate AI tools into existing marketing technology stacks and establish governance frameworks for brand safety and compliance.
The role involves mapping and redesigning creative workflows to build AI-powered pipelines within real production environments. You will implement creative AI platforms, establish governance frameworks, and collaborate with stakeholders to drive operational efficiency.
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Lead the sales of custom AI solutions to ensure successful customer adoption of Snowflake's AI and Machine Learning capabilities. This involves driving pipeline generation, architecting agentic AI solutions, and managing complex sales cycles from discovery to closing.
Analyze medical and pharmacy claims data to predict healthcare provider prescribing behavior and develop AI-powered synthetic personas. Build scalable data pipelines and backend APIs on AWS to deliver market intelligence and forecasting insights.
Drive AI-enabled transformation and process redesign within complex legal and regulatory environments. Bridge the gap between business, legal, and technical stakeholders to implement scalable decision intelligence models.
Drive AI-enabled transformation initiatives by redesigning business processes and implementing intelligent decision models. Act as a bridge between business stakeholders and technical teams to deploy scalable AI solutions into production.
The role focuses on improving code quality and test coverage for Exporter apps using LLMs and automated testing. It also involves providing 3rd level support and automating support processes via Jira Service Management.
Create short-form and long-form AI-generated educational and entertainment content for social media platforms focusing on mental health. Collaborate with the product team to test content hypotheses and iterate based on performance analytics.
Design, build, and deploy AI-powered applications and agentic workflows using LLMs and RAG architectures. Collaborate with cross-functional teams to integrate AI capabilities into existing platforms to improve user experiences and automate business processes.
Develop and deploy scalable AI/ML models and RAG systems using AWS Bedrock and various machine learning frameworks. Design RESTful APIs and manage cloud infrastructure including CI/CD pipelines and containerized deployments.
Design and deliver end-to-end AI-powered products, focusing on multi-agent systems and real-time voice pipelines. Responsibilities include building backend services with Node.js and creating embeddable web interfaces using React or Svelte.
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Design and govern an enterprise-scale MCP server ecosystem to connect LLMs with critical business systems like SAP and Salesforce. Build production-grade servers and define tool schemas and orchestration patterns for AI virtual employees.
Research and develop LLM-based solutions for document intelligence, semantic search, and data extraction to automate insurance workflows. Partner with product and engineering teams to deploy advanced AI research into customer-facing production systems.
Deploy and tailor AI-powered workflows for insurance customers by integrating with agency management systems. Act as the technical bridge between clients and the core product team to turn real-world requirements into shipped systems.
Build intuitive, high-performance frontend experiences and reusable UI components for AI-powered insurance workflows. Collaborate with design and backend teams to translate Figma designs into seamless React applications.
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