Principal Software Architect – GenAI

Job Description:• Acts as an architecture leader in a domain area in multiple activities and teams. • Responsible for the high-level design/architecture decisions and drives continuous improvement in architecture and engineering across set of software products/services. • Responsible for solutioning and planning for the incorporation of generative AI capabilities across the entire Duck Creek Suite. • Acts as a Domain Architect for the GenAI domain, leading and representing the design/architecture decisions of that domain area.• Provides architectural and technical leadership, participating and leading with Engineering Communities of Practice. • Refines technical backlog items and creation of the overall solution concept and architectural direction for multiple engineering teams. • Provides guidance and support to the developers in multiple engineering teams across our product suite in the completion of stories against design/architecture plans. • Mentor and help develop engineers and architects in their career growth. • Drives and coordinates our technical position with key technology vendors.• Can be hands-on, designing and coding solutions for Agile stories with key architectural impact. Requirements:• Bachelor’s or Masters Degree and/or equivalent experience relevant to functional area• 7+ years of engineering and/or architecture experience• 5+ years supervisory and strategic leadership experience• Generative AI Expertise• Experienced in creating solutions incorporating Generative AI platforms and tooling into production products. • Hands-on experience with LLM integration, RAG pipelines, vector databases, prompt engineering, and hallucination mitigation strategies.• Familiarity with fine-tuning and model evaluation techniques for large language models. • Strong command of object-oriented programming principles with expert knowledge of Java or C#, and Python. • Proficiency with relevant frameworks and libraries such as Spring Boot,.NET Core, TensorFlow, PyTorch, LangChain, Hugging Face Transformers, and OpenAI/Anthropic SDKs. • Experience in model lifecycle management, including training, deployment, monitoring, and retraining. • Skilled in MLOps practices: CI/CD for ML, model versioning, drift detection, and governance.• Knowledge of cost optimization strategies for LLMs in production environments. • Expert in distributed software patterns (DDD, microservices, serverless, event-driven) and cloud-native architectures (AWS, Azure, GCP). Benefits:• Flexible work environment• Medical, dental, vision, life and disability insurance• 401(k) Retirement Plan• Flexible Spending & Health Savings Account• Paid holidays, vacation, and volunteer time• Employee assistance program and other benefits Apply tot his job