Remote GenAI Architect for Network Anomalies & Ops

Mind Ware Inc; United States; Remote; USD 140,000 - 220,000; Full time

Job summary

Mind Ware Inc. is hiring two Lead GenAI/AI-ML SME roles for a 100% remote position aligned to MST hours. You will architect and own AI solutions at the intersection of large language models and network operations, shaping strategy, architecture, and deployment at scale.

You will design multi-agent workflows, build RAG-enabled capabilities, and define best practices for prompt engineering, tool-calling, and agent orchestration while partnering with cross-functional teams and client stakeholders.

Qualifications

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

Responsibilities

• Serve as the AI/ML SME for a network anomaly agentic AI program, shaping solution design and implementation strategy from the ground up.
• Design and build LLM-powered agents and multi-agent workflows for anomaly detection, triage, root-cause investigation, and operational insight generation.
• Develop RAG capabilities that connect network data, documentation, incident history, and knowledge bases into a unified intelligence layer.
• Lead the technical playbook for prompt engineering, tool-calling, agent routing, structured outputs, and evaluation frameworks that keep AI-assisted operations reliable and trustworthy.
• Partner with architects, engineers, data teams, product owners, and client stakeholders to translate business and network operations needs into working AI capabilities.
• Drive code reviews, architecture discussions, and sprint delivery while sharing knowledge across the broader GenAI engineering team.

Skills

Python

GenAI/AI/ML

LLM-based delivery

API design

communication

team collaboration

Tools

LangChain

LangGraph

Job description

Mind Ware Inc. is hiring two Lead GenAI/AI-ML SME roles for a 100% remote position aligned to MST hours. You will architect and own AI solutions at the intersection of large language models and network operations, shaping strategy, architecture, and deployment at scale.

You will design multi-agent workflows, build RAG-enabled capabilities, and define best practices for prompt engineering, tool-calling, and agent orchestration while partnering with cross-functional teams and client stakeholders.