Quick Overview
Job Description
Job Summary
We are seeking an experienced Technical Architect with expertise in GenAI, Agentic AI, and Enterprise AI Platforms to design and build AI-powered engineering solutions. The ideal candidate will have strong experience in LLMs, Knowledge Graphs, Graph RAG, Python, Kubernetes, and AWS, with telecom domain experience being a plus.
Required Skills
10+ years of Software / Platform Engineering experience.
3+ years of hands-on experience in GenAI / Enterprise AI Platforms.
Strong experience with Agentic AI and Large Language Models (LLMs).
Expertise in Graph RAG / Hybrid RAG and Knowledge Graphs.
Experience with Python, Kubernetes, and AWS AI Services.
Strong knowledge of Enterprise Data Integration and Connector Frameworks.
Understanding of Metadata Management, Governance & Data Lineage.
Experience with Neo4j, OpenSearch, Milvus, LangChain, LlamaIndex, and Google Vertex AI.
Telecom domain experience (RAN, Core, O-RAN, PDLC) is preferred.
Key Responsibilities
Design and develop AI-powered Engineering Intelligence Platforms.
Build Agentic AI and LLM-based applications for intelligent search and engineering copilots.
Implement Graph RAG / Hybrid RAG using Knowledge Graphs.
Integrate enterprise engineering data through scalable connector frameworks.
Develop scalable AI solutions using Python, Kubernetes, and AWS.
Ensure metadata governance, lineage, and platform scalability.
Collaborate with cross-functional teams to deliver enterprise AI solutions.
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