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

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

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 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 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 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 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, data and AI platforms
• Oversee the design and evolution of modern, distributed system architectures supporting private single-tenant and multi-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

• Partner closely with Product, Cloud, Security, and Enterprise Architecture leaders to align technology strategy, platform investments, and engineering execution with company objectives
• Translate emerging technologies, including AI and GenAI, into tangible platform capabilities and differentiated customer experiences
• Drive 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 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 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 customers
• Experience developing and operating AI platforms that support LLM-based applications, agentic workflows, retrieval-augmented generation (RAG), and/or intelligent automation
• Familiarity with MLOps, AI lifecycle management, model evaluation, AI observability, and responsible AI practices in production environments
• Experience establishing governance 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 practice medallion architectures
• Master's degree or higher in Computer Science, Engineering, or related field (preferred, not required )

Key Leadership Attributes

• Engineering-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 talent
• Strong sense of accountability for business outcomes, product delivery, operational excellence, and customer success
• Strategic thinker with deep technical and architectural expertise across 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