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

Duck Creek Technologies
United States
25 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$241,200.0 - $344,500.0
Working hours
Regular working hours
Job source

Tech stack

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
+15 more
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

Job 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.

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

  • 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

Benefits & conditions

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

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

Final compensation will be determined based on the factors outlined above and in accordance with applicable law.

Duck Creek Technologies believes in the safe, ethical, and responsible use of artificial intelligence. We may use AI-assisted tools to support parts of the recruitment process, such as reviewing applications, identifying relevant skills, and organizing candidate information.

AI tools are used to assist-not replace-human judgment. All AI-assisted outputs are reviewed by a Duck Creek team member, and final hiring decisions are always made by people. Candidates should be comfortable working in environments where AI is used responsibly to enhance business processes.

Duck Creek Technologies offers a comprehensive benefits package, which includes:

  • 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)

About the company

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, enabling the industry to 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 1,700 employees across the globe and are proud to be a Flexible-First employer. We empower our employees with the choice to work from an office, from home, or on a hybrid schedule. Our flexible-first environment fosters productivity, inclusion, collaboration, and ensures a consistent employee 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”!

To learn more about us, visit 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.

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