NEW JOB OPENING
LEAD GENAI AI-ML SME - NETWORK ANOMALY AGENTIC PROGRAM
IN Denver, CO, USA!

***Only qualified Lead GenAI / AI-ML SME candidates located near Denver, Colorado, will be considered due to the position requiring an on-site presence. ***



Preferred Certifications

• AWS, Azure, or Google Cloud AI/ML certification preferred.

• Relevant certification or training in artificial intelligence, machine learning, data engineering, cloud architecture, or software engineering preferred.

• Network, telecom, or operations-focused certifications are a plus.



Required Skills, Experience, & Abilities:

• Strong Python software engineering experience with hands-on GenAI, AI/ML, or LLM-based application delivery.

• Experience with LangChain, LangGraph, or equivalent agentic AI frameworks.

• Strong understanding of LLM APIs, tool calling, prompt engineering, structured outputs, streaming, and agent orchestration patterns.

• Experience designing RAG solutions using embeddings, vector search, hybrid retrieval, re-ranking, and answer generation.

• Ability to operate as a technical SME with strong communication, consulting, solution design, and stakeholder-facing skills.

• Experience with network operations, anomaly detection, incident analysis, telecommunications, or enterprise operations use cases preferred.

• Working knowledge of cloud AI services, APIs, databases, observability, testing, and production deployment practices.



Tech Stack:

Category Primary Technologies: Core AI / GenAI: Python, LLMs, LangChain, LangGraph, RAG, prompt engineering, tool-calling agents

Network Anomaly Program: Network anomaly detection, incident triage, root-cause investigation, operational intelligence

Data and Search: Vector search, embeddings, hybrid retrieval, OpenSearch, Pinecone pgvector, PostgreSQL

Secondary Skills: Cloud AI services, observability, testing, and production deployment practices. Lead GenAI / AI-ML SME – Network Anomaly Agentic Program



Role:

The ideal candidate is a hands-on AI/ML SME with strong software engineering discipline, deep GenAI delivery experience, and the consulting skills needed to translate network operations requirements into scalable agentic AI capabilities. Production monitoring experience is a valuable secondary skill, but the primary focus is AI solution architecture, LLM agent development, RAG design, and network anomaly use-case delivery.



Responsibilities

• Serve as the AI/ML SME for a network anomaly agentic AI program, advising on solution design, technical direction, and implementation approach.

• Design and develop LLM-powered agents and multi-agent workflows for network anomaly detection, triage, root-cause investigation, and operational insight generation.

• Build RAG capabilities using network data, documentation, incident history, knowledge bases, and operational procedures.

• Lead prompt engineering, tool-calling, agent routing, structured outputs, and evaluation patterns for reliable AI-assisted network operations.

• Partner with architects, engineers, data teams, product owners, and client stakeholders to convert business and network operations needs into actionable AI capabilities.

• Support code reviews, architecture discussions, sprint delivery, documentation, and knowledge sharing across the GenAI engineering team.

• **Only those lawfully authorized to work in the designated country associated with the position will be considered.**

• **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**