Vice President, Software Engineering – Agentic AI and Data Engineering Platform

Helping careers takeflight. 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, enablingthe industryto 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 1,700employees across the globe and are proud to be a Flexible-First employer. We empower our employees with the choiceto workfrom an office, from home,or on a hybrid schedule. Our flexible-first environment fosters productivity, inclusion, collaboration, and ensuresa consistentemployee 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”!

visit www.duckcreek.com and follow us on our social channels for the latest information – LinkedIn and Twitter.

Duck Creek is a flexible-first company, and that remains core to how we work. As part of our Flying Together initiative, we’re taking a more intentional approach to how teams come together, while continuing to support flexibility in day-to-day work. We’re focusing hiring in designated locations, including our existing offices and key growth areas such as Boston, MA, Columbia, SC, Bolivar, MO, and the Bay Area, CA, where we are building stronger team presence and connection.

We believe in bringing teams together for meaningful, in-person collaboration moments. Candidates should be within a reasonable distance of one of these locations and open to participating in those moments as guided by their team and leader. Expectations for in-person time will be shaped by the team and leader and will continue to evolve over time.

TITLE : Vice President, Software Engineering – Agentic AI and Data Engineering Platform

WHAT YOU’LL DO:

The Vice President, Software Engineering – Agentic AI and Data Engineering Platform is a senior technology executive responsible for defining and executing the engineering strategy for Duck Creek Technologies’ core SaaS platform, data platform, and next-generation AI-powered agentic products.

Thisrolewilllead aglobally distributed software engineering organization responsible for designing, building, and operatingsoftwareplatforms and customer-facing products that deliver enterprise-grade scalability, reliability, security, and performance. A key responsibilityforthe role is accelerating the adoption of Agentic AI and Generative AI capabilities across the Duck Creek product portfolio through robust, production-ready engineering practices.

The ideal candidate combines deepexpertisein software engineering leadership with hands-on experience delivering AI-enabled platforms and applications at scale. They have built and operated enterprise-grade systems thatleveragelarge language models (LLMs), retrieval-augmented generation (RAG), intelligent workflow orchestration, and AI-powered automation whilemaintaininghigh standardsfor governance, security, observability,reliability,and operational excellence.

Engineering Leadership & Product Delivery

• Lead globally distributed software engineering organizations responsible for delivering Duck Creek’s Agentic AI Platform, Data Engineering Platform, AI-enabled product capabilities, and core SaaSofferings.
• Own the end-to-end delivery of enterprise-scale, cloud-native software systems, including architecture, development, deployment, operations, reliability, and lifecycle management.
• Drive best-in-class engineering practices acrossarchitecturedesign,software development, CI/CD, observability, automation, resiliency, and operational readiness
• Build, develop, and scale a high-performing engineering organization by recruiting exceptional talent, mentoring engineering leaders, and fostering a culture of accountability, innovation, and continuous improvement.

Platform Engineering & Architecture

• Define and execute the technical strategy for Duck Creek’s next-generation SaaS,dataand AI platforms
• Oversee the design and evolution of modern, distributed system architectures supportingprivate single-tenant andmulti-tenant SaaS platforms
• Lead the development of shared platform services, APIs, data infrastructure, agent orchestration frameworks, and reusable engineering capabilities that accelerate product innovation
• Ensure platform scalability, performance, security, and cost efficiency at global scale

Cross-Functional Alignment

• Partnercloselywith Product, Cloud, Security, and Enterprise Architecture leaders toalign technology strategy, platform investments, and engineering execution with company objectives
• Translate emerging technologies, including AI and GenAI, into tangibleplatform capabilities and differentiated customer experiences
• Drive execution discipline throughorganizational metrics and business-focused KPIs.

WHAT YOU’VE DONE:Core Requirements (Must-Have)

• 15+ years of experience in software engineering, includingsignificant experiencebuilding and scaling enterprise SaaS platforms, cloud-native applications, and AI-enabled products.
• 7+ years leading large, globally distributed engineering organizations at the VP, Senior Director, or equivalent level, including managing managers and senior engineering leaders.
• Proventrack recordof delivering complex, production-grade software platforms and customer-facing applications at enterprise scale.
• Strong technical foundation with prior hands-on experience in software development, system architecture, cloud infrastructure, and platform engineering

AI + Engineering Experience

• Proven experience delivering AI, machine learning, and Generative AI capabilities within production software systems serving enterprise or commercial customers
• Experience building or leading AI platform capabilities, including model orchestration, agentic workflows, retrieval-augmented generation (RAG), evaluation frameworks, AI observability, analytics, and operational governance
• Strong understanding of modern AI architectures, including LLM-based applications, intelligent agents, vector-based retrieval systems, model lifecycle management, and human-in-the-loop evaluation processes
• Experience with operational practices in AI systems, including model evaluation, security, compliance, risk management, reliability, and performance monitoring

Platform & SaaS Expertise

• Deep experience designing and operating cloud-native, distributed systems supporting large-scale SaaS products and multi-tenant platforms
• Proven success leading both application engineering and platform engineering organizations, including shared services, APIs, developer platforms, data infrastructure, and cloud operations
• Experience driving modernization of legacy systems into scalable,secure,cloud-based platforms

PREFERRED QUALIFICATIONS

• Experience leading engineering organizations withinAI platformcompanieswithdeep exposure to regulatedindustriesespeciallyInsurTech/FinTech or equivalent.
• Proven success building and scaling AI-enabled capabilities within enterprise SaaS products serving large commercial customers
• Experience developing and operating AI platforms that support LLM-based applications, agentic workflows, retrieval-augmented generation (RAG), and/or intelligent automation
• Familiarity withMLOps, AI lifecycle management, model evaluation, AI observability, and responsible AI practices in production environments
• Experienceestablishinggovernance frameworks for AI systems, including security, compliance, risk management, and regulatory considerations
• Demonstrated success leading large-scale cloud modernization, platform transformation, or digital transformation initiatives
• Experience leading data engineering platforms via best practicemedallion architectures
• Master’s degree or higher in Computer Science, Engineering, or related field (preferred, notrequired)

KEY LEADERSHIP ATTRIBUTES

• Engineering-first leader with a demonstratedtrack recordof building and delivering enterprise-scale software platforms and products.
• Proven ability to scale engineering organizations through multiple layers of leadership while attracting, developing, andretainingexceptional engineering talent
• Strong senseof accountability for business outcomes, product delivery, operational excellence, and customer success
• Strategic thinker with deep technical and architecturalexpertiseacross cloud-native platforms, distributed systems, data platforms, and AI-enabled applications
• Collaborative leadership style that fosters alignment across Product, Engineering, Data, ML, Security, Operations, and Executive Leadership teams
• Executive presence and communication skills capable of influencing technical teams, business stakeholders, executive leadership, and customers
• Demonstrated ability to operationalize emerging technologies and transform them into scalable platforms that deliver measurable business value

WHAT ADDITIONAL INFORMATION YOU MAY WANT TO KNOW:

Travel:Up to 25%

Work Authorization:Legally authorized to work in the country of job location. The Company does not sponsor visa petitions for this position.

Actual compensation for this role is determined based on a variety of facto…