> Markdown version of [/jobs/ext/1318499-vice-president-software-engineering-agentic-ai-and-data-engineering-platform](https://www.wearedevelopers.com/jobs/ext/1318499-vice-president-software-engineering-agentic-ai-and-data-engineering-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

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

- **Company:** Duck Creek Technologies
- **Location:** United States
- **Experience:** Expert
- **Salary:** $241,200.0 - $344,500.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computing Platforms, Software as a Service, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, Data Infrastructure, Distributed Systems, Machine Learning, Software Engineering, Software Systems, Systems Architecture, Cloud Platform System, Spring Cloud, Large Language Models, Multi-Agent Systems, Model Validation, Generative AI, AI Platforms, Information Technology, Performance Monitor, Data Management, Machine Learning Operations, Virtual Agents, Legacy Systems
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/8a8a06f3-4aaa-4630-bdcd-3386e1bc7aac

## About the Role

* 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

## Description

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.

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.


## Related Videos

- [AI Won't Fix Your Engineering Culture](https://www.wearedevelopers.com/videos/100266-ai-won-t-fix-your-engineering-culture)
- [Serverless Architectures with Spring Cloud Functions and Knative](https://www.wearedevelopers.com/videos/814-serverless-architectures-with-spring-cloud-functions-and-knative)
- [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative)
- [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how)
- [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai)
- [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou)

## Related Articles

- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)