Description

Define end-to-end architecture for GenAI-powered agent ecosystems and scalable multi-agent frameworks using Azure OpenAI.

This role is on-site.

Responsibilities

• Design scalable multi-agent frameworks including orchestration, planning, tool usage, and memory management.
• Establish architecture patterns for RAG, semantic search, and knowledge grounding.
• Architect integrations with FSM, CRM, ERP, and IoT platforms.
• Define prompt engineering standards, evaluation frameworks, and responsible AI guardrails.
• Partner with stakeholders to translate field service transformation goals into AI architecture.

Required Skills

• 10+ years of software engineering or architecture experience, with 5+ years in AI/ML systems.
• Proven experience designing enterprise-grade GenAI solutions using Azure OpenAI Service.
• Deep expertise in LLM architectures, RAG, embeddings, vector databases, and agent frameworks.
• Hands-on experience with Azure AI Search, Functions, Kubernetes, and API Management.
• Experience integrating AI platforms with CRM, FSM, ERP, and IoT systems.
• Strong understanding of microservices, APIs, and cloud-native architectures.
• Experience with Semantic Kernel and LangChain.

Key Skills

Education

Any Graduate