15 of 15 Permanent Azure Cognitive Services Jobs

Contract type: C2C Title: AI Solution Architect Location: Bellevue, WA Skills Mandatory Skills : Azure Cloud Architecture, Python Good to Have Skills : .Net Core, AI/GenAI Research Role Summary We are seeking a seasoned AI Architect with 15 years of overall technology experience including 5 years in handson … candidate will drive AI solutions from ideation to implementation lead performance finetuning actively participate in RFPs and presales and architect robust solutions leveraging Azure AI services Azure OpenAI Service Azure AI Search Azure ML Cognitive Services ...

/or JavaScript/TypeScript. Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt … fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads ...

enterprise clients, translating business challenges into structured delivery proposals • Design reference architectures for mobile (iOS, Android, Flutter, React Native), backend (.NET, Node.js), cloud (Azure AKS, Web Apps), and AI agent integration (LangChain, CrewAI, Claude) • Conduct solution reviews, architecture governance, and technical risk assessments across delivery squads • Mentor … across iOS, Android, and cross-platform frameworks (Flutter/React Native) • Strong understanding of cloud-native architecture patterns (microservices, event-driven, serverless) on Azure or equivalent platforms • Experience with enterprise loyalty, rewards, or commerce platforms serving multiple markets with configuration-driven personalisation • Deep knowledge of CI/ ...

evaluate and deploy models in a cloud environment. Experience with AI APIs, pretrained open-source models, and tools like Databricks or Azure Cognitive Services will be a big plus. If you’ve worked on end-to-end Gen AI solutions or have applied ...

evaluate and deploy models in a cloud environment. Experience with AI APIs, pretrained open-source models, and tools like Databricks or Azure Cognitive Services will be a big plus. If you’ve worked on end-to-end Gen AI solutions or have applied ...

traditional automation to Agentic AI. Solution Architecture: Design end-to-end architectures with Microsoft Power Platform, Copilot Studio as the orchestration layer and Azure AI for advanced cognitive services. Agentic AI Development: Build autonomous agents capable of multi-turn reasoning and tool calling by integrating Azure … manage tenants, environments, users, COE Kits, and drive best practices Copilot Studio: Advanced configuration, topic design, and extending Copilots with custom plugins. Azure AI: Experience with Azure AI Search (vector databases), Azure OpenAI Service, and Document Intelligence. Legacy Automation Integration: Ability to integrate modern ...

traditional automation to Agentic AI. Solution Architecture: Design end-to-end architectures with Microsoft Power Platform, Copilot Studio as the orchestration layer and Azure AI for advanced cognitive services. Agentic AI Development: Build autonomous agents capable of multi-turn reasoning and tool calling by integrating Azure … manage tenants, environments, users, COE Kits, and drive best practices Copilot Studio: Advanced configuration, topic design, and extending Copilots with custom plugins. Azure AI: Experience with Azure AI Search (vector databases), Azure OpenAI Service, and Document Intelligence. Legacy Automation Integration: Ability to integrate modern ...

traditional automation to Agentic AI. Solution Architecture: Design end-to-end architectures with Microsoft Power Platform, Copilot Studio as the orchestration layer and Azure AI for advanced cognitive services. Agentic AI Development: Build autonomous agents capable of multi-turn reasoning and tool calling by integrating Azure … manage tenants, environments, users, COE Kits, and drive best practices Copilot Studio: Advanced configuration, topic design, and extending Copilots with custom plugins. Azure AI: Experience with Azure AI Search (vector databases), Azure OpenAI Service, and Document Intelligence. Legacy Automation Integration: Ability to integrate modern ...

traditional automation to Agentic AI. Solution Architecture: Design end-to-end architectures with Microsoft Power Platform, Copilot Studio as the orchestration layer and Azure AI for advanced cognitive services. Agentic AI Development: Build autonomous agents capable of multi-turn reasoning and tool calling by integrating Azure … manage tenants, environments, users, COE Kits, and drive best practices Copilot Studio: Advanced configuration, topic design, and extending Copilots with custom plugins. Azure AI: Experience with Azure AI Search (vector databases), Azure OpenAI Service, and Document Intelligence. Legacy Automation Integration: Ability to integrate modern ...

traditional automation to Agentic AI. Solution Architecture: Design end-to-end architectures with Microsoft Power Platform, Copilot Studio as the orchestration layer and Azure AI for advanced cognitive services. Agentic AI Development: Build autonomous agents capable of multi-turn reasoning and tool calling by integrating Azure … manage tenants, environments, users, COE Kits, and drive best practices Copilot Studio: Advanced configuration, topic design, and extending Copilots with custom plugins. Azure AI: Experience with Azure AI Search (vector databases), Azure OpenAI Service, and Document Intelligence. Legacy Automation Integration: Ability to integrate modern ...

traditional automation to Agentic AI. Solution Architecture: Design end-to-end architectures with Microsoft Power Platform, Copilot Studio as the orchestration layer and Azure AI for advanced cognitive services. Agentic AI Development: Build autonomous agents capable of multi-turn reasoning and tool calling by integrating Azure … manage tenants, environments, users, COE Kits, and drive best practices Copilot Studio: Advanced configuration, topic design, and extending Copilots with custom plugins. Azure AI: Experience with Azure AI Search (vector databases), Azure OpenAI Service, and Document Intelligence. Legacy Automation Integration: Ability to integrate modern ...

traditional automation to Agentic AI. Solution Architecture: Design end-to-end architectures with Microsoft Power Platform, Copilot Studio as the orchestration layer and Azure AI for advanced cognitive services. Agentic AI Development: Build autonomous agents capable of multi-turn reasoning and tool calling by integrating Azure … manage tenants, environments, users, COE Kits, and drive best practices Copilot Studio: Advanced configuration, topic design, and extending Copilots with custom plugins. Azure AI: Experience with Azure AI Search (vector databases), Azure OpenAI Service, and Document Intelligence. Legacy Automation Integration: Ability to integrate modern ...

traditional automation to Agentic AI. Solution Architecture: Design end-to-end architectures with Microsoft Power Platform, Copilot Studio as the orchestration layer and Azure AI for advanced cognitive services. Agentic AI Development: Build autonomous agents capable of multi-turn reasoning and tool calling by integrating Azure … manage tenants, environments, users, COE Kits, and drive best practices Copilot Studio: Advanced configuration, topic design, and extending Copilots with custom plugins. Azure AI: Experience with Azure AI Search (vector databases), Azure OpenAI Service, and Document Intelligence. Legacy Automation Integration: Ability to integrate modern ...

traditional automation to Agentic AI. Solution Architecture: Design end-to-end architectures with Microsoft Power Platform, Copilot Studio as the orchestration layer and Azure AI for advanced cognitive services. Agentic AI Development: Build autonomous agents capable of multi-turn reasoning and tool calling by integrating Azure … manage tenants, environments, users, COE Kits, and drive best practices Copilot Studio: Advanced configuration, topic design, and extending Copilots with custom plugins. Azure AI: Experience with Azure AI Search (vector databases), Azure OpenAI Service, and Document Intelligence. Legacy Automation Integration: Ability to integrate modern ...

line or matrix structures. Familiarity with tools such as Microsoft 365 (SharePoint, Teams, Purview), OpenText, Content Manager (TRIM), Documentum, Confluence, Elastic, or Azure Cognitive Search . Change and adoption experience, including measurement of behavioural impact. Security-aware delivery in regulated or classified environments. Active SC clearance ...