Vice President, Software Engineering – Agentic AI and Data Engineering PlatformThe 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 product s.This role will lead a globally distributed software engineering organization responsible for designing, building, and operating software platforms and customer-facing products that deliver enterprise-grade scalability, reliability, security, and performance. A key responsibility for the 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 deep expertise in software engineering leadership with hands-on experience delivering AI-enabled platforms and applications at scale. They have built and operated enterprise-grade systems that leverage large language models (LLMs), retrieval-augmented generation (RAG), intelligent workflow orchestration, and AI-powered automation while maintaining high standards for governance, security, observability, reliability, and operational excellence.Engineering Leadership & Product DeliveryLead globally distributed software engineering organizations responsible for delivering Duck Creek's Agentic AI Platform, Data Engineering Platform, AI-enabled product capabilities, and core SaaS offerings.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 across architecture design, software development, CI/CD, observability, automation, resiliency, and operational readinessBuild, 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 & ArchitectureDefine and execute the technical strategy for Duck Creek's next-generation SaaS, data and AI platformsOversee the design and evolution of modern, distributed system architectures supporting private single-tenant and multi-tenant SaaS platformsLead the development of shared platform services, APIs, data infrastructure, agent orchestration frameworks, and reusable engineering capabilities that accelerate product innovationEnsure platform scalability, performance, security, and cost efficiency at global scaleCross-Functional AlignmentPartner closely with Product, Cloud, Security, and Enterprise Architecture leaders to align technology strategy, platform investments, and engineering execution with company objectivesTranslate emerging technologies, including AI and GenAI, into tangible platform capabilities and differentiated customer experiencesDrive execution discipline through organizational metrics and business-focused KPIs.Core Requirements (Must-Have)15+ years of experience in software engineering, including significant experience building 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.Proven track record of 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 engineeringAI + Engineering ExperienceProven experience delivering AI, machine learning, and Generative AI capabilities within production software systems serving enterprise or commercial customersExperience building or leading AI platform capabilities, including model orchestration, agentic workflows, retrieval-augmented generation (RAG), evaluation frameworks, AI observability, analytics, and operational governanceStrong understanding of modern AI architectures, including LLM-based applications, intelligent agents, vector-based retrieval systems, model lifecycle management, and human-in-the-loop evaluation processesExperience with operational practices in AI systems, including model evaluation, security, compliance, risk management, reliability, and performance monitoringPlatform & SaaS ExpertiseDeep experience designing and operating cloud-native, distributed systems supporting large-scale SaaS products and multi-tenant platformsProven success leading both application engineering and platform engineering organizations, including shared services, APIs, developer platforms, data infrastructure, and cloud operationsExperience driving modernization of legacy systems into scalable, secure, cloud-based platformsPreferred QualificationsExperience leading engineering organizations within AI platform companies with deep exposure to regulated industries especially InsurTech /FinTech or equivalent.Proven success building and scaling AI-enabled capabilities within enterprise SaaS products serving large commercial customersExperience developing and operating AI platforms that support LLM-based applications, agentic workflows, retrieval-augmented generation (RAG), and/or intelligent automationFamiliarity with MLOps, AI lifecycle management, model evaluation, AI observability, and responsible AI practices in production environmentsExperience establishing governance frameworks for AI systems, including security, compliance, risk management, and regulatory considerationsDemonstrated success leading large-scale cloud modernization, platform transformation, or digital transformation initiativesExperience leading data engineering platforms via best practice medallion architecturesMaster's degree or higher in Computer Science, Engineering, or related field (preferred, not required )Key Leadership AttributesEngineering-first leader with a demonstrated track record of building and delivering enterprise-scale software platforms and products.Proven ability to scale engineering organizations through multiple layers of leadership while attracting, developing, and retaining exceptional engineering talentStrong sense of accountability for business outcomes, product delivery, operational excellence, and customer successStrategic thinker with deep technical and architectural expertise across cloud-native platforms, distributed systems, data platforms, and AI-enabled applicationsCollaborative leadership style that fosters alignment across Product, Engineering, Data, ML, Security, Operations, and Executive Leadership teamsExecutive presence and communication skills capable of influencing technical teams, business stakeholders, executive leadership, and customersDemonstrated ability to operationalize emerging technologies and transform them into scalable platforms that deliver measurable business value
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