Location: Remote – USA or Canada Domain: Insurance (preferred)
About the Role We’re looking for a seasoned AI Architect (Azure) to lead the design and delivery of cutting-edge AI solutions across insurance and other regulated industries. This role demands deep expertise in Azure-native AI/ML services and a strong grasp of Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI.
Key Responsibilities Architect end-to-end AI pipelines: ingestion → storage → retrieval → reasoning → action → monitoring Define and evolve reference architectures for Document AI, Conversational AI, and Agentic AI Specify and enforce non-functional requirements (latency, throughput, privacy, compliance, observability, cost) Select and justify Azure-native services: Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Govern prompt/version management, safety policies, and PII protection Lead PoCs to production using Azure templates and golden paths Mentor engineers, conduct design/code reviews, and collaborate with cross-functional stakeholders Establish AI performance metrics (hallucination rate, groundedness, CSAT, etc.) Ensure seamless integration with insurance platforms (policy, claims, underwriting)
Required Skills & Experience 5–10+ years in AI/ML software development 3–5+ years in solution or enterprise architecture Proven experience designing AI systems at enterprise scale on Azure Hands-on with Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Deep knowledge of LLMs, vector databases, RAG pipelines, and agentic workflows Strong understanding of multi-cloud cost/latency tradeoffs Excellent communication and stakeholder engagement skills Insurance domain experience strongly preferred (FNOL, claims, underwriting, billing)
Location: Remote – USA or Canada Domain: Insurance (preferred)
About the Role We’re looking for a seasoned AI Architect (Azure) to lead the design and delivery of cutting-edge AI solutions across insurance and other regulated industries. This role demands deep expertise in Azure-native AI/ML services and a strong grasp of Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI.
Key Responsibilities Architect end-to-end AI pipelines: ingestion → storage → retrieval → reasoning → action → monitoring Define and evolve reference architectures for Document AI, Conversational AI, and Agentic AI Specify and enforce non-functional requirements (latency, throughput, privacy, compliance, observability, cost) Select and justify Azure-native services: Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Govern prompt/version management, safety policies, and PII protection Lead PoCs to production using Azure templates and golden paths Mentor engineers, conduct design/code reviews, and collaborate with cross-functional stakeholders Establish AI performance metrics (hallucination rate, groundedness, CSAT, etc.) Ensure seamless integration with insurance platforms (policy, claims, underwriting)
Required Skills & Experience 5–10+ years in AI/ML software development 3–5+ years in solution or enterprise architecture Proven experience designing AI systems at enterprise scale on Azure Hands-on with Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Deep knowledge of LLMs, vector databases, RAG pipelines, and agentic workflows Strong understanding of multi-cloud cost/latency tradeoffs Excellent communication and stakeholder engagement skills Insurance domain experience strongly preferred (FNOL, claims, underwriting, billing)
Location: Remote – USA or Canada Domain: Insurance (preferred)
About the Role We’re looking for a seasoned AI Architect (Azure) to lead the design and delivery of cutting-edge AI solutions across insurance and other regulated industries. This role demands deep expertise in Azure-native AI/ML services and a strong grasp of Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI.
Key Responsibilities Architect end-to-end AI pipelines: ingestion → storage → retrieval → reasoning → action → monitoring Define and evolve reference architectures for Document AI, Conversational AI, and Agentic AI Specify and enforce non-functional requirements (latency, throughput, privacy, compliance, observability, cost) Select and justify Azure-native services: Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Govern prompt/version management, safety policies, and PII protection Lead PoCs to production using Azure templates and golden paths Mentor engineers, conduct design/code reviews, and collaborate with cross-functional stakeholders Establish AI performance metrics (hallucination rate, groundedness, CSAT, etc.) Ensure seamless integration with insurance platforms (policy, claims, underwriting)
Required Skills & Experience 5–10+ years in AI/ML software development 3–5+ years in solution or enterprise architecture Proven experience designing AI systems at enterprise scale on Azure Hands-on with Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Deep knowledge of LLMs, vector databases, RAG pipelines, and agentic workflows Strong understanding of multi-cloud cost/latency tradeoffs Excellent communication and stakeholder engagement skills Insurance domain experience strongly preferred (FNOL, claims, underwriting, billing)
Location: Remote – USA or Canada Domain: Insurance (preferred)
About the Role We’re looking for a seasoned AI Architect (Azure) to lead the design and delivery of cutting-edge AI solutions across insurance and other regulated industries. This role demands deep expertise in Azure-native AI/ML services and a strong grasp of Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI.
Key Responsibilities Architect end-to-end AI pipelines: ingestion → storage → retrieval → reasoning → action → monitoring Define and evolve reference architectures for Document AI, Conversational AI, and Agentic AI Specify and enforce non-functional requirements (latency, throughput, privacy, compliance, observability, cost) Select and justify Azure-native services: Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Govern prompt/version management, safety policies, and PII protection Lead PoCs to production using Azure templates and golden paths Mentor engineers, conduct design/code reviews, and collaborate with cross-functional stakeholders Establish AI performance metrics (hallucination rate, groundedness, CSAT, etc.) Ensure seamless integration with insurance platforms (policy, claims, underwriting)
Required Skills & Experience 5–10+ years in AI/ML software development 3–5+ years in solution or enterprise architecture Proven experience designing AI systems at enterprise scale on Azure Hands-on with Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Deep knowledge of LLMs, vector databases, RAG pipelines, and agentic workflows Strong understanding of multi-cloud cost/latency tradeoffs Excellent communication and stakeholder engagement skills Insurance domain experience strongly preferred (FNOL, claims, underwriting, billing)
Location: Remote – USA or Canada Domain: Insurance (preferred)
About the Role We’re looking for a seasoned AI Architect (Azure) to lead the design and delivery of cutting-edge AI solutions across insurance and other regulated industries. This role demands deep expertise in Azure-native AI/ML services and a strong grasp of Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI.
Key Responsibilities Architect end-to-end AI pipelines: ingestion → storage → retrieval → reasoning → action → monitoring Define and evolve reference architectures for Document AI, Conversational AI, and Agentic AI Specify and enforce non-functional requirements (latency, throughput, privacy, compliance, observability, cost) Select and justify Azure-native services: Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Govern prompt/version management, safety policies, and PII protection Lead PoCs to production using Azure templates and golden paths Mentor engineers, conduct design/code reviews, and collaborate with cross-functional stakeholders Establish AI performance metrics (hallucination rate, groundedness, CSAT, etc.) Ensure seamless integration with insurance platforms (policy, claims, underwriting)
Required Skills & Experience 5–10+ years in AI/ML software development 3–5+ years in solution or enterprise architecture Proven experience designing AI systems at enterprise scale on Azure Hands-on with Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Deep knowledge of LLMs, vector databases, RAG pipelines, and agentic workflows Strong understanding of multi-cloud cost/latency tradeoffs Excellent communication and stakeholder engagement skills Insurance domain experience strongly preferred (FNOL, claims, underwriting, billing)
Location: Remote – USA or Canada Domain: Insurance (preferred)
About the Role We’re looking for a seasoned AI Architect (Azure) to lead the design and delivery of cutting-edge AI solutions across insurance and other regulated industries. This role demands deep expertise in Azure-native AI/ML services and a strong grasp of Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI.
Key Responsibilities Architect end-to-end AI pipelines: ingestion → storage → retrieval → reasoning → action → monitoring Define and evolve reference architectures for Document AI, Conversational AI, and Agentic AI Specify and enforce non-functional requirements (latency, throughput, privacy, compliance, observability, cost) Select and justify Azure-native services: Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Govern prompt/version management, safety policies, and PII protection Lead PoCs to production using Azure templates and golden paths Mentor engineers, conduct design/code reviews, and collaborate with cross-functional stakeholders Establish AI performance metrics (hallucination rate, groundedness, CSAT, etc.) Ensure seamless integration with insurance platforms (policy, claims, underwriting)
Required Skills & Experience 5–10+ years in AI/ML software development 3–5+ years in solution or enterprise architecture Proven experience designing AI systems at enterprise scale on Azure Hands-on with Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Deep knowledge of LLMs, vector databases, RAG pipelines, and agentic workflows Strong understanding of multi-cloud cost/latency tradeoffs Excellent communication and stakeholder engagement skills Insurance domain experience strongly preferred (FNOL, claims, underwriting, billing)
Location: Remote – USA or Canada Domain: Insurance (preferred)
About the Role We’re looking for a seasoned AI Architect (Azure) to lead the design and delivery of cutting-edge AI solutions across insurance and other regulated industries. This role demands deep expertise in Azure-native AI/ML services and a strong grasp of Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI.
Key Responsibilities Architect end-to-end AI pipelines: ingestion → storage → retrieval → reasoning → action → monitoring Define and evolve reference architectures for Document AI, Conversational AI, and Agentic AI Specify and enforce non-functional requirements (latency, throughput, privacy, compliance, observability, cost) Select and justify Azure-native services: Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Govern prompt/version management, safety policies, and PII protection Lead PoCs to production using Azure templates and golden paths Mentor engineers, conduct design/code reviews, and collaborate with cross-functional stakeholders Establish AI performance metrics (hallucination rate, groundedness, CSAT, etc.) Ensure seamless integration with insurance platforms (policy, claims, underwriting)
Required Skills & Experience 5–10+ years in AI/ML software development 3–5+ years in solution or enterprise architecture Proven experience designing AI systems at enterprise scale on Azure Hands-on with Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Deep knowledge of LLMs, vector databases, RAG pipelines, and agentic workflows Strong understanding of multi-cloud cost/latency tradeoffs Excellent communication and stakeholder engagement skills Insurance domain experience strongly preferred (FNOL, claims, underwriting, billing)
Location: Remote – USA or Canada Domain: Insurance (preferred)
About the Role We’re looking for a seasoned AI Architect (Azure) to lead the design and delivery of cutting-edge AI solutions across insurance and other regulated industries. This role demands deep expertise in Azure-native AI/ML services and a strong grasp of Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI.
Key Responsibilities Architect end-to-end AI pipelines: ingestion → storage → retrieval → reasoning → action → monitoring Define and evolve reference architectures for Document AI, Conversational AI, and Agentic AI Specify and enforce non-functional requirements (latency, throughput, privacy, compliance, observability, cost) Select and justify Azure-native services: Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Govern prompt/version management, safety policies, and PII protection Lead PoCs to production using Azure templates and golden paths Mentor engineers, conduct design/code reviews, and collaborate with cross-functional stakeholders Establish AI performance metrics (hallucination rate, groundedness, CSAT, etc.) Ensure seamless integration with insurance platforms (policy, claims, underwriting)
Required Skills & Experience 5–10+ years in AI/ML software development 3–5+ years in solution or enterprise architecture Proven experience designing AI systems at enterprise scale on Azure Hands-on with Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Deep knowledge of LLMs, vector databases, RAG pipelines, and agentic workflows Strong understanding of multi-cloud cost/latency tradeoffs Excellent communication and stakeholder engagement skills Insurance domain experience strongly preferred (FNOL, claims, underwriting, billing)
Location: Remote – USA or Canada Domain: Insurance (preferred)
About the Role We’re looking for a seasoned AI Architect (Azure) to lead the design and delivery of cutting-edge AI solutions across insurance and other regulated industries. This role demands deep expertise in Azure-native AI/ML services and a strong grasp of Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI.
Key Responsibilities Architect end-to-end AI pipelines: ingestion → storage → retrieval → reasoning → action → monitoring Define and evolve reference architectures for Document AI, Conversational AI, and Agentic AI Specify and enforce non-functional requirements (latency, throughput, privacy, compliance, observability, cost) Select and justify Azure-native services: Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Govern prompt/version management, safety policies, and PII protection Lead PoCs to production using Azure templates and golden paths Mentor engineers, conduct design/code reviews, and collaborate with cross-functional stakeholders Establish AI performance metrics (hallucination rate, groundedness, CSAT, etc.) Ensure seamless integration with insurance platforms (policy, claims, underwriting)
Required Skills & Experience 5–10+ years in AI/ML software development 3–5+ years in solution or enterprise architecture Proven experience designing AI systems at enterprise scale on Azure Hands-on with Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Deep knowledge of LLMs, vector databases, RAG pipelines, and agentic workflows Strong understanding of multi-cloud cost/latency tradeoffs Excellent communication and stakeholder engagement skills Insurance domain experience strongly preferred (FNOL, claims, underwriting, billing)
Location: Remote – USA or Canada Domain: Insurance (preferred)
About the Role We’re looking for a seasoned AI Architect (Azure) to lead the design and delivery of cutting-edge AI solutions across insurance and other regulated industries. This role demands deep expertise in Azure-native AI/ML services and a strong grasp of Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI.
Key Responsibilities Architect end-to-end AI pipelines: ingestion → storage → retrieval → reasoning → action → monitoring Define and evolve reference architectures for Document AI, Conversational AI, and Agentic AI Specify and enforce non-functional requirements (latency, throughput, privacy, compliance, observability, cost) Select and justify Azure-native services: Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Govern prompt/version management, safety policies, and PII protection Lead PoCs to production using Azure templates and golden paths Mentor engineers, conduct design/code reviews, and collaborate with cross-functional stakeholders Establish AI performance metrics (hallucination rate, groundedness, CSAT, etc.) Ensure seamless integration with insurance platforms (policy, claims, underwriting)
Required Skills & Experience 5–10+ years in AI/ML software development 3–5+ years in solution or enterprise architecture Proven experience designing AI systems at enterprise scale on Azure Hands-on with Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob, Azure AI Search, Cognitive Services, Service Principals, Azure Agent Deep knowledge of LLMs, vector databases, RAG pipelines, and agentic workflows Strong understanding of multi-cloud cost/latency tradeoffs Excellent communication and stakeholder engagement skills Insurance domain experience strongly preferred (FNOL, claims, underwriting, billing)
