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Job description
Role: Lead GenAI / AI-ML SME Network Anomaly Agentic Program
Location: Denver, CO (Strictly local candidates / 4 Days Onsite per week)
Core Tech: Python, LangGraph / LangChain, RAG, Multi-Agent Orchestration, Tool Calling, Vector Stores (OpenSearch / Pinecone / pgvector)
Domain Focus: Network Operations, Telecommunications, Anomaly Detection, Incident Triage
Position Overview
Role: Lead GenAI / AI-ML SME Network Anomaly Agentic Program
Location: Denver, CO (Strictly local candidates / 4 Days Onsite per week)
Core Tech: Python, LangGraph / LangChain, RAG, Multi-Agent Orchestration, Tool Calling, Vector Stores (OpenSearch / Pinecone / pgvector)
Domain Focus: Network Operations, Telecommunications, Anomaly Detection, Incident Triage
Key Responsibilities
Agentic Program Leadership: Serve as the technical SME guiding solution architecture, agentic patterns, and technical execution for the Network Anomaly program.
Multi-Agent Systems: Design, build, and evaluate multi-agent workflows using LangGraph / LangChain to automate anomaly triage, root-cause investigation, and operational insights.
Advanced RAG Engineering: Architect RAG pipelines utilizing embeddings, hybrid retrieval, re-ranking, and vector databases (Pinecone, OpenSearch, pgvector) over network logs, documentation, and incident history.
Tool Calling & Deterministic Workflows: Implement structured outputs, function/tool calling, agent routing, and validation patterns for high-reliability network environments.
Stakeholder & Architecture Partnership: Collaborate with network engineers, product owners, and platform architects to translate operational runbooks into executable AI workflows.
Key Requirements & Qualifications
Strong software engineering background in Python with proven delivery of production-grade GenAI / LLM / Agentic applications.
Hands-on expertise with LangGraph, LangChain, or equivalent multi-agent orchestration frameworks.
Deep technical mastery of LLM APIs, prompt engineering, tool/function calling, structured outputs, and streaming.
Proven track record building RAG solutions (vector search, embeddings, hybrid search, and re-ranking).
Experience or strong familiarity with network operations, anomaly detection, incident triage, telecommunications, or IT operations (AIOps) use cases.
Strong consulting and communication skills to lead architecture reviews and interface with client leadership.
Preferred: AWS / Azure / Google Cloud Platform AI/ML certifications.
Must be locally based in the Greater Denver, CO area and able to work 4 days on-site.
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Worksite address
denver, CO, 80285, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.