Job Title : AI Architect (with Azure)
Location : Remote-USA
Duration : Long Term Contract
Contract on w2
Domain- Preferred Insurance.
Experience: 15+ years
Role Overview:
We are seeking a highly skilled AI Azure Architect to lead the architecture and technical strategy for AI programs across insurance and other regulated industries. The AI Architect will own and define reference architectures for Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI, ensuring solutions are scalable, secure, compliant, and deliver measurable business value on AWS cloud/Azure Cloud.
Key Responsibilities:
- Define end-to-end AI architectures covering ingestion → storage → retrieval → reasoning → action → monitoring.
- Own and evolve reference architectures for Document AI, Conversational AI, and Agentic AI.
- Specify non-functional requirements (latency, throughput, privacy, compliance, observability, cost).
- Select and justify AWS-native AI/ML services (Bedrock, SageMaker, Kendra, OpenSearch, etc.) and third-party tools.
OR
- Select and justify Azure-native AI/ML Services - Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob Storage, Azure AI Search, Azure Cognitive Services, Service Principals, and Azure Agent (critical for agentic workflows).
- Govern prompt/version management, enforce safety policies, and manage controls for prompt injection and PII protection.
- Lead PoCs to production with AWS-based templates and golden paths.
- Collaborate with stakeholders; mentor engineers; conduct design/code reviews.
- Establish measurement frameworks (hallucination rate, groundedness, answer quality, CSAT, deflection).
- Ensure seamless AWS/Azure enterprise integrations with insurance platforms (policy, claims, underwriting).
Required Skills & Experience:
- 15+ years in AI/ML software, 3–5+ years in solution/enterprise architecture.
- Proven experience designing AI systems at enterprise scale on AWS/Azure.
- Hands-on with AWS Bedrock, SageMaker, Lambda, Kendra, OpenSearch, Redshift, DynamoDB, S3.
OR
- Hands on Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Service Principals, Azure Blob, Azure AI Search, Azure Cognitive Services, and Azure Agent.
- Expertise in LLMs, vector databases, RAG pipelines, and agentic workflows.
- Strong multi-cloud cost/latency tradeoff knowledge.
- Excellent communication, stakeholder engagement, and blueprinting skills.
- Insurance industry experience strongly preferred (FNOL, claims adjudication, underwriting, billing, policy servicing).