Quinnox is a global IT services organization headquartered in Chicago, USA with presence in Europe, Middle East and India.
We are an Agile, Midsize CMMI Level 5, ISO 9001:2008 and ISO 27001:2013 certified organization, working with Fortune 500 clients and have successfully executed projects in over 40+ countries across the globe.
Quinnox is led by senior and seasoned professionals, in both business and technology, who have held key executive leadership positions in major banks, consulting groups, and technology products companies. All of us are focused on only one mission—accelerating success for our clients and employees
Job Title: AI Architect/ lead – LangGraph, Dialogflow, and Google Cloud
Location: In Schaumburg, Il hybrid 3 days a week
Department: Artificial Intelligence / Engineering
About the Role
We are seeking a highly skilled AI Engineer to design, develop, and deploy intelligent conversational and workflow automation systems using LangGraph, Google Dialogflow, and Google Cloud Platform (GCP). The ideal candidate will have strong experience building AI-driven solutions that integrate natural language understanding, context management, and multi-step logic orchestration.
You’ll collaborate closely with product managers, developers, and data teams to deliver scalable, efficient, and intuitive AI experiences through Google Chat and related platforms.
Key Responsibilities
Design, implement, and optimize conversational AI agents using LangGraph for workflow logic and Dialogflow (CX/ES) for dialogue management.
Integrate AI workflows with Google Chat to support automated conversations, task execution, and real-time user interaction.
Develop and maintain backend integrations with APIs, databases, and Google Cloud services such as Cloud Functions, Vertex AI, Pub/Sub, and Firestore.
Collaborate with cross-functional teams to define, test, and deploy new AI-driven features and improve existing dialogue flows.
Optimize system performance and scalability using GCP services and best practices in AI and cloud architecture.
Monitor and continuously improve AI accuracy through data-driven evaluation, logging, and fine-tuning of models and conversation paths.
Stay updated with the latest in conversational AI frameworks, Google Cloud tools, and LLM-based orchestration (LangChain, LangGraph, etc.).
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field.
8+ years of experience as an AI Engineer, Conversational AI Developer, or similar role.
Hands-on experience with LangGraph (or LangChain) for building LLM-powered flow orchestration.
Proven experience developing bots on Google Chat, Dialogflow CX/ES, and integrating workflows using Google Cloud Functions or REST APIs.
Solid understanding of Google Cloud Platform (GCP) components such as Vertex AI, BigQuery, Cloud Run, IAM, and API Gateway.
Strong coding skills in Python or Node.js, with experience in building and deploying AI or ML applications.
Familiarity with prompt engineering, LLM lifecycle management, and embedding/vector store integration.
If interested in applying for this role, please share your updated resume to dipas@quinnox.com
