georgekulick.com

SOLUTION ARCHITECT · CONVERSATIONAL AI · 2011–PRESENT

I ship enterprise conversational AI. Fifteen years of it.

Pre-sales scoping through production for brands like United Airlines and Citibank at LivePerson, then kickoff-to-launch delivery at Quiq. Now directing AI coding agents with the same delivery discipline.

Resume (PDF) LinkedIn Email

Open to: Solutions Architect · Solutions Engineer · Forward Deployed · TAM
Remote (US) · Eastern Time · Chattanooga / Atlanta for hybrid

HOW A TYPICAL ENGAGEMENT RUNS

Pre-sales scoping & SOW
Integration design
Client enablement
Build, test, launch
40–60
custom integrations scoped & built
5
architects led, hundreds of NA accounts
~1 mo
kickoff to production at Quiq

Case studies

Situation · Architecture · Outcome · My role

InSinkErator UK: 14-language web chat

Quiq · 2025
SituationNo language data available before a conversation began.
Architecture
Front-end JS language selector
Per-language bot responses & routing
Real-time translation layer
OutcomeEnglish-only agent team serves all 14 languages without multilingual staffing.
My roleEnd-to-end delivery owner: discovery, configuration, integration, testing, launch.

United Airlines: member-program chat with live account data

LivePerson · Solutions Architect
SituationWebsite chat for the member program needed to answer account questions in-channel.
Architecture
Conversational bots on web chat
Integration to backend account systems
Live member data retrieved in conversation
OutcomeBot flows completed common member account tasks in-channel, enabling self-service for routine requests.
My roleScoped, designed and deployed the integration; led pre-sales technical scoping and the SOW.

Citibank: multi-year growth into regulated credit card lines

LivePerson · Deployment Engineer
SituationAn existing deployment had to expand into tightly regulated card lines while meeting banking compliance requirements.
Architecture
Single consolidated LivePerson account
Integration with Citibank systems
SSO for agents across multiple departments
OutcomeDeployment maintained and expanded over multiple years within compliance requirements.
My roleMaintained and grew the account; built the integrations and SSO; resolved issues directly with the bank.

AI agent builds

Each entry states what I designed and what agents wrote
screenshot slot · 16:9
career-ops · Claude Code · 2026

Multi-agent job-search pipeline with fact gates on every output

Parallel research and evaluation agents, direct Greenhouse / Ashby / Lever API scanners, generated deliverables with human review.

I designedArchitecture, verification rules, review of every change
Agents wrotePortal scanners, dashboards, verification scripts
clip slot · 16:9
Jarvis · voice assistant · [YEAR]

Voice assistant that delegates tasks to Claude Code headless and reads results aloud

[ONE-LINE DESCRIPTION FROM GEORGE]

I designed[TO CONFIRM]
Agents wrote[TO CONFIRM]

How I work with AI agents

01One source of truth

Generated content may only draw on named primary files. If a claim is not backed there, it does not ship.

02Gate before render

Automated fact checks run on every deliverable before a PDF or document is produced.

03Human review on every output

Agents draft and build; nothing is submitted or sent without my review.

04Direct, don't hand-write

I set architecture and review the agents' work rather than writing each component myself.

Fifteen years, one discipline

  1. 2011–2017Deployment EngineerLivePerson
  2. 2017–2019Senior Solutions EngineerLivePerson
  3. 2019–2023Solutions ArchitectLivePerson
  4. 2023–2024Manager, Solution ArchitectureLivePerson
  5. 2024–2026Technical Solutions SpecialistQuiq
  6. 2026–Agentic AI WorkflowsIndependent

Resume

Two pages, or read it on this site. You can also ask the assistant in the corner anything the resume answers, by voice or text; it is grounded on this page and the resume only.

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