GenAI Platform Architect: Multi-Agent NLP

AIToolboard

Chicago (IL)

Hybrid

USD 96,432 - 151,536

Full time

6 days ago
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Job summary

PY DATA, INC. in Chicago, IL is seeking a GenAI / NLP Engineer to help build a scalable, cloud-based multi-agent platform for Network Planning.

The role is hybrid, onsite 2–3 days per week with a 15-month contracting term, and involves delivering AI-powered insights, diagnostics, and automated reporting. You will design the supervisory chatbot, modular AI agents, and ensure governance, security, and traceability across the GenAI stack while collaborating with the MARS platform, Cloud

Qualifications

  • Experience architecting GenAI and NLP applications, using multi-agent patterns.
  • Hands-on experience integrating LLMs into production enterprise environments.
  • Proficiency in Python; Julia experience preferred.
  • Experience with enterprise AI/ML platforms (non-greenfield builds).
  • Strong problem-solving and ability to work independently in ambiguous environments.

Responsibilities

  • Design and build end-to-end multi-agent GenAI architecture integrated with enterprise AI tooling.
  • Develop a supervisory/orchestrator chatbot routing requests to specialized agents.
  • Design modular AI agents to support evolving business use cases.
  • Ensure traceability, accuracy, and governance aligned with Responsible AI standards.
  • Collaborate with Network Planning, Cloud Engineering, and Security teams.

Skills

GenAI architecture
Multi-agent systems
Python
Julia
Enterprise AI/ML platforms
AWS
Problem solving

Tools

MARS platform
AWS

Job description

PY DATA, INC. in Chicago, IL is seeking a GenAI / NLP Engineer to help build a scalable, cloud-based multi-agent platform for Network Planning.

The role is hybrid, onsite 2–3 days per week with a 15-month contracting term, and involves delivering AI-powered insights, diagnostics, and automated reporting. You will design the supervisory chatbot, modular AI agents, and ensure governance, security, and traceability across the GenAI stack while collaborating with the MARS platform, Cloud

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