AI Architect
The Judge Group
Software Engineering, IT, Data Science
the colony, tx, usa
Title: AI Architect (GenAI)
Locations: Plano, TX 75024, INDIANAPOLIS IN 46240-3797, Portsmouth, NH 03801, Boston MA 02116, Seattle, WA – 98154
Employment: Fulltime
Required
Domain Experience
- P&C Insurance (mandatory)
- Guidewire (PolicyCenter, BillingCenter, ClaimCenter) (preferred)
Python, REST APIs, GitHub, Working with LLMs (GPT, Claude), Prompt engineering, RAG (Retrieval‑Augmented Generation), AWS. Data structures & algorithms, OOP and modular design, CI/CD, Postman / Newman, JMeter
Must Have Technical/Functional Skills
Role Summary:
We are seeking an experienced AI Architect (GenAI) to define, design, and implement enterprise grade Generative AI solutions. The role focuses on GenAI strategy, RAG based architecture, automation enablement, and integration within P&C Insurance and Guidewire ecosystems, ensuring secure, scalable, and cost-effective AI adoption.
Key Responsibilities:
• Define an enterprise ready GenAI framework for development and testing.
• Design and build GenAI solutions using enterprise LLM platforms (GPT, Claude) with focus on cost, latency, and security.
• Implement RAG (Retrieval Augmented Generation) patterns using requirements, user stories, APIs, configurations, and test repositories, leverage embeddings and vector search where applicable.
• Apply advanced prompt engineering techniques for accuracy and reusability.
• Lead design and evolution of UI automation frameworks (Playwright, Selenium, Cypress).
• Architect and govern API automation using RestAssured, Postman/Newman, and SoapUI.
• Drive testing of REST/SOAP services and Guidewire integration workflows. · • Enable CI/CD integration and cloud based deployments on AWS.
Roles & Responsibilities:
• Python
• REST APIs
• GitHub
• LLMs: GPT, Claude
• Prompt Engineering
• RAG (Retrieval Augmented Generation)
• AWS Cloud
Good to Have:
• Data Structures & Algorithms
• OOP and modular design
• CI/CD pipelines
• Postman / Newman
• JMeter
Desired Profile:
• Strong architectural and hands on GenAI expertise
• Experience with enterprise automation and testing practices
• Excellent communication and cross team collaboration skills