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 Now
Apply Now