Senior GenAI Platform Architect - RAG & Agentic AI

KData Inc.; United States; À distance; USD 180 000 - 240 000; Plein temps

Résumé du poste

KData Inc. seeks a Senior Contractor to lead hands-on architecture across GenAI, RAG, agentic AI and document-processing platforms.

You will own end-to-end architectural coherence, reusable foundation, and secure integration across Azure Foundry, Azure OpenAI, Databricks and open-source stacks. You will mentor teams, deliver reference implementations, and co-implement at least one end-to-end use case on the reusable foundation.

Qualifications

• Substantial architecture ownership for production GenAI, RAG, agentic AI or intelligent automation.

Responsabilités

• Own target-state, transition-state and use-case architectures from discovery through production.
• Design, implement and validate reusable RAG, agentic RAG, document-processing, multimodal and tool-calling patterns.
• Define platform boundaries and model/tool/endpoint management and governance.
• Lead decisions across Azure Foundry, Azure AI capabilities, Azure OpenAI, Databricks and open-source frameworks.
• Define model/endpoint abstraction, routing, quotas and provider selection; manage registration/lifecycle.
• Establish least-privilege access, data isolation and secure service integration.
• Define non-functional expectations for quality, availability, scalability, latency and cost.
• Embed security, privacy, risk and Responsible AI controls with human authorization as needed.
• Progress PoC to MVP and production with governance, testing and monitoring.
• Review platform and use-case code for conformance and reusable capabilities.

Connaissances

GenAI architecture

RAG

Azure

Databricks

Security

Python

API development

MLOps

Identity & access

Observability

Outils

Azure Foundry

Databricks

MLflow

Unity Catalog

Azure AI Search

Kubernetes

Containers

Description du poste

KData Inc. seeks a Senior Contractor to lead hands-on architecture across GenAI, RAG, agentic AI and document-processing platforms.

You will own end-to-end architectural coherence, reusable foundation, and secure integration across Azure Foundry, Azure OpenAI, Databricks and open-source stacks. You will mentor teams, deliver reference implementations, and co-implement at least one end-to-end use case on the reusable foundation.