GenAI & Azure AI Architect

Role: GenAI & Azure AI Architect

Location: Remote or Plano, TX

Duration: Long Term

Job Summary:

We’re looking for a GenAI & Azure AI Architect with strong experience in building and deploying AI solutions using large language models (LLMs), cloud services (especially Azure), and modern architecture patterns. The ideal candidate will design AI architectures, create system topologies, and deliver scalable GenAI applications aligned with enterprise goals.

Must-Have Skills:

Strong hands-on experience with LLMs (GPT, BERT, LLaMA) and GenAI tools (LangChain, RAG)

Proficiency in Azure AI, Azure OpenAI, Cognitive Services, and cloud deployment

Solid knowledge of system architecture, topology design, and creating solution diagrams

Experience with MLOps, CI/CD, Docker/Kubernetes

Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate)

Strong problem-solving and communication skills

Key Responsibilities:

Design AI Architecture: Define scalable AI solutions and draw architecture/topology diagrams for LLM-based and multi-agent systems.

Build GenAI Applications: Develop AI agents using tools like OpenAI, LangChain, RAG, and vector databases.

Work on Azure AI Stack: Leverage Azure AI, Azure Cognitive Services, Azure OpenAI, and related services for model deployment.

System Integration: Integrate AI with existing enterprise systems using APIs, microservices, and event-driven architecture.

Create Visual Topologies: Design detailed architecture diagrams and solution topologies for stakeholder understanding.

MLOps & Deployment: Use Docker, Kubernetes, and CI/CD pipelines for scalable, production-ready deployments.

Strategy & Governance: Align AI solutions with business needs and promote responsible AI practices (ethics, bias mitigation, security).

Collaboration: Partner with data scientists, engineers, and product teams for smooth AI integration into business workflows.