Job Title: Senior AI Architect RAG & Integrations Location: Remote
Duration: 12+ Months
Key Responsibilities
Design, develop, and optimize RAG and LLM-based solutions for telecom/network use cases.
Build and maintain Python REST APIs supporting AI query, routing, and network alarm-correlation workflows.
Develop integrations with ServiceNow, Splunk, SharePoint, and internal knowledge platforms.
Implement document ingestion, chunking, embeddings, indexing, and retrieval pipelines.
Work with vector and hybrid search technologies to improve AI response quality.
Build evaluation frameworks, testing suites, and AI guardrails.
Troubleshoot production issues and implement reliable fixes.
Collaborate with AI, cloud, data, and network engineering teams.
Help improve AI capabilities supporting mobile network operations and telecommunications environments.
Required Skills
14 years of overall engineering experience.
2+ years of hands-on experience with LLM, RAG, search, or retrieval systems.
Strong Python development experience.
Experience with FastAPI or Flask.
Strong knowledge of RAG, embeddings, vector search, and LLM applications.
Experience with SQL, PostgreSQL, Snowflake, or Redis.
Hands-on experience with ServiceNow API, Splunk SDK/SPL, or /Microsoft Graph API.