AI Solution Architect
Core
Design enterprise AI solutions and agentic architectures (RAG, voice agents, multi-agent systems) within the Microsoft ecosystem, defining standards and reusable patterns for scalable, secure delivery.
Role type
Senior AI Solution Architect (Microsoft/Azure ecosystem)
Builds
Enterprise-grade AI applications, agentic workflows, and low-code/pro-code hybrid solutions for business stakeholders
Domain
Enterprise IT, Generative AI, Microsoft Cloud
Deliverable
production ML models | product features
Required skills
AI solution architecture, agentic architectures, RAG, LLMs, Generative AI, prompt engineering, vector search, embeddings, Azure AI services, Copilot Studio, Azure OpenAI, Python, REST APIs, SQL, AI governance, AI cost optimization
Preferred skills
Power Platform, Azure DevOps, Microsoft Graph API, LangChain, LangGraph, AutoGen, Vector databases (Qdrant, ChromaDB), Databricks, Microsoft Fabric, Containers (Docker, Kubernetes), Voice AI, FastAPI, Spring Boot, Express.js
Technologies
Copilot Studio, Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure AI Foundry, LangChain, LangGraph, AutoGen, Qdrant, ChromaDB, Databricks, Microsoft Fabric, Docker, Kubernetes, FastAPI, Spring Boot, Express.js
Responsibilities
Define AI standards, reference architectures, and reusable design patterns; Design scalable, secure, and cost-efficient AI architectures and integration strategies; Guide architecture decisions across Microsoft AI technologies; Remain hands-on through prototyping, proof-of-concepts, and technical reviews; Define AI testing, evaluation, monitoring, and success measurement approaches; Collaborate with governance, security, and risk teams; Mentor team members and grow AI engineering capability
Seniority
Senior, hands-on IC with mentorship responsibilities