Job Title: Solution Architect (Conversational AI)
Chicago 2 days/week at Willis
long term contract 1 year will extend. 3-4 year program to modernize tech stack
Need Local Candidate please
Prioritization Details
Interview and feedback process: 2 rounds
Qualification Call Notes
One with Gen AI exposure and have done some previous implementation. Also having Python dev experience .
Job Description
Solution Architect
- Conversational AI / NLP Implementation:
- Hands-on experience with NLP/NLU tools (e.g., Amazon Lex, Google Dialogflow, Rasa, Azure Bot Framework)
- Exposure to Retrieval-Augmented Generation (RAG) models for dynamic, context-aware responsesa
- Designed and deployed chatbot solutions across web and mobile platforms
- Cloud Architecture:
- Strong preference for AWS expertise-especially Lex, Lambda, S3, API Gateway, DynamoDB
- Familiar with cloud-native services, including compute, storage, and networking architecture
- Integration & DevOps:
- Experience designing APIs and integrating chatbot applications with backend services
- Familiarity with CI/CD pipelines, containerization (Docker), and infrastructure-as-code (e.g., Terraform, CloudFormation)
UrBench is an equal opportunity employer and is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, status as a parent, disability, age, veteran status, or other characteristics as defined by federal, state or local laws.