Senior AI/ML Engineer
Core
Technical authority for AI/ML platforms, agent architecture, Model Context Protocol (MCP) strategy, and governance within Network Intelligence to safely consume network data and operational intelligence.
Role type
Senior IC AI/ML Engineer (Agentic Systems & Architecture)
Builds
Reusable agent architectures, orchestration patterns, MCP server/client integrations, and governance frameworks for network automation.
Domain
Telecommunications / Network Intelligence / AI Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Large Language Models (LLMs), Agent Frameworks, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Vector/Graph Databases, Cloud AI Services, CI/CD, Security & Governance
Preferred skills
MCP Server/Client design, Semantic Kernel, LangGraph, LangChain, Azure AI/OpenAI, Responsible AI practices, Telecommunications/ISP domain knowledge
Technologies
Python, Azure AI, Azure OpenAI, AWS, Google Cloud, Databricks, Kubernetes, Git, Vector Databases, Graph Databases
Responsibilities
Define architecture and technical standards for AI/ML platforms and agent workflows; Establish MCP strategy, tool contracts, and lifecycle standards; Design patterns for multi-agent coordination and long-running workflows; Create evaluation frameworks for safety, reliability, and hallucination reduction; Mentor AI Engineers and guide technology-domain delivery teams; Partner with Network Automation and Platform Engineering to ensure production readiness.
Seniority
Senior, hands-on IC with technical leadership