Principal Software Engineer- GenAI

Duck Creek Technologies•Boston, MA

16h•Hybrid

About The Position

Helping careers take flight. Reshaping an industry. Enable your career to be Made on Duck Creek. WHO WE ARE: Duck Creek Technologies is the intelligent solutions provider defining the future of the property and casualty (P&C) and general insurance industry. We are the platform upon which modern insurance systems are built, enabling the industry to capitalize on the power of the cloud to run agile, intelligent, and evergreen operations. Our modern SaaS solutions help insurers set a new standard and revolutionize how consumers interact with insurance companies. Authenticity, purpose, and transparency are core to Duck Creek, and we believe insurance should be there for individuals and businesses when, where, and how they need it most. Our market-leading solutions are available on a standalone basis or as a full suite, and all are available via Duck Creek OnDemand. With more than 1,000 successful implementations to date, Duck Creek removes the IT burden for insurers so they can focus on the business of insurance. We have a flock of more than 1, 7 00 employees across the globe and are proud to be a Flexible-First employer. We empower our employees with the choice to work from an office, from home , or on a hybrid schedule. Our flexible-first environment fosters productivity, inclusion, collaboration, and ensures a consistent employee experience regardless of location. If working in a fast-paced, rapidly evolving company that is transforming one of the world’s oldest and largest industries sounds exciting, let us know. We are excited you are considering Duck Creek as a future employer and hope you decide to join “The Flock”! To learn more about us, visit www.duckcreek.com and follow us on our social channels for the latest information – LinkedIn and Twitter .

Requirements

Bachelor’s degree, or higher education level, or its foreign equivalent, in Computer Science, Computer Information Sciences, and/or related field
Total Work Experience: 7+ years (software development), 5+ years of strategic leadership experience
Expertise in AI/ML systems: LLM integration, RAG pipelines, vector databases, and prompting strategies
Experience with LLM evaluation frameworks (e.g., RAGAS, LangSmith evaluations, custom benchmarks)
Hands-on experience with agent frameworks, workflow orchestration, and LLM runtime systems (e.g., LangGraph, Agent Development Kit, Agent Framework, or similar), including tool use, memory, evaluation, and governance
Expert of scalable, resilient, modern, cloud-native microservice development with Java, .NET, Python, or Typescript
Excels in the ability to lead, teach, and guide modern software-development practices across Product Development, operating independently with guidance
Experience building monitoring, alerting, and observability for maintaining high customer SLAs for SaaS delivered products
Proven experience building multi-agent systems with planning, tool calling, and state management
Expert with CI/CD to deliver software enhancements to customers with full automation
Expert in distributed software patterns, such as DDD, microservices, serverless, and event-driven architecture

Nice To Haves

Experience in regulated industries (financial services, insurance, healthcare) preferred
Experience with CQRS, event-driven architecture, and Kafka
Experience with Terraform/Ansible or other IaC platforms
Experience with cost controls and usage attribution of model execution
Knowledge of data security, compliance, and responsible AI principles
Experience in Cloud platforms and cloud-native architectures, including Serverless

Responsibilities

Drive the technical vision and execution of advanced AI-powered solutions across multiple initiatives.
Design and implement scalable, secure, and high-performing systems that leverage large language models (LLMs), retrieval-augmented generation (RAG), and AI-driven services.
Lead technical strategy for GenAI-based products and platforms, ensuring alignment with enterprise architecture and business goals.
Own the design and implementation of the AI orchestration runtime, including agent workflows, context assembly, tool invocation, policy enforcement, and execution control.
Build platform-level capabilities for observability, evaluation, auditability, and cost management across AI workloads.
Design and implement core AI services, including model orchestration, inference pipelines, and standardized prompt and configuration patterns.
Collaborate with data scientists and ML engineers to integrate LLMs and fine-tuned models into production systems.
Enable product teams to deliver AI capabilities without reinventing orchestration, governance, or runtime infrastructure.
Architect and deliver solutions for high-complexity Agile stories across multiple domains, ensuring scalability and resilience.
Mentor and guide engineers on modern AI development practices, including distributed systems, model deployment, and performance optimization.
Ensure compliance and security in AI solutions, including data privacy, responsible AI principles, and model governance.
Debug and resolve complex issues in distributed AI systems, ensuring minimal downtime and high availability.
Champion CI/CD and MLOps practices for continuous delivery of AI features and models.
Participate in hiring and talent development for the GenAI team.