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

About the role

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.

Responsibilities

• 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.
• Define and execute the technical strategy for Duck Creek’s next-generation SaaS, data and AI 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.
• 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.

Requirements

• 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.
• 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.
• Familiarity with MLOps, AI lifecycle management, model evaluation, AI observability, and responsible AI practices in production environments.
• 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).

Qualifications

• 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.
• Experience driving modernization of legacy systems into scalable, secure, cloud-based platforms.

Skills

• Engineering-first leader with a demonstrated track record of building and delivering enterprise-scale software platforms and products.
• 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.

Benefits

• Flexible work environment.
• Medical, dental, vision, life, and disability insurance.
• 401(k) retirement plan with match (6% employer match up to $12,000 annually).
• Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA).
• Paid holidays, vacation, and volunteer time.
• Employee Assistance Program (EAP).

Pay

Final compensation will be determined based on the factors outlined above and in accordance with applicable law. The expected salary range for this position is generally positioned as follows based on candidate location:

• Boston, New York City–Newark, Los Angeles, San Francisco/Bay Area, Seattle, or Washington, DC metropolitan areas: 241,200 – 344,500
• Chicago, Dallas–Fort Worth, Houston, Minneapolis, or Philadelphia metropolitan areas, or in Colorado, Connecticut, Maryland, Rhode Island, or Vermont: 229,800 – 328,300
• Georgia, Michigan, North Carolina, New Hampshire, Oregon, or Wisconsin: 218,400 – 312,000
• For all other U.S. locations: 193,400 – 302,300

Schedule

This position is also eligible for annual bonus compensation, subject to plan terms and individual eligibility.