Duck Creek TechnologiesRemote
Principal Software Architect – GenAI
United States
Full Time
2 weeks ago
$144,800 - $233,500 USD
H1B Sponsor
Key skills
AWSAzureCloudGoogle Cloud PlatformJavaMicroservicesPythonPyTorchSpringSpring BootSpringBootTensorflow.NETC#CAIMLGenerative AIGenAILLMLarge Language ModelsOpenAITensorFlowHugging FaceLangChainMLOpsGCPGoogle CloudServerlessSaaSAgileCI/CDLeadership
About this role
Role Overview
- The Principal Software Architect
- GenAI 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.
- Additionally 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).
- Experience building monitoring, alerting, and observability for maintaining high SLAs in SaaS products.
- Proficient in applying data security, compliance, and responsible AI principles across the solution lifecycle.
- Promote inner-sourced tooling and shared technology standards across teams.
- Leverage AI tools and practices to enhance engineering productivity, decision-making, and innovation.
Tech Stack
- AWS
- Azure
- Cloud
- Google Cloud Platform
- Java
- Microservices
- Python
- PyTorch
- Spring
- Spring Boot
- SpringBoot
- Tensorflow
- .NET
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