Vice President of Engineering

Requisition
22917
-Posted
- Poland

- Malopolskie

Pegasystems is seeking a VP of Generative AI Engineering to define and lead our enterprise GenAI strategy and product roadmap. In this pivotal leadership role, you will drive the vision, architecture, and execution of AI-powered capabilities that transform how our clients leverage the Pega platform. You'll oversee the end-to-end development lifecycle of GenAI initiatives—from research and prototyping through production deployment—while building and leading a world-class global team of engineers and applied researchers.

As a key technical and strategic leader, you'll partner across Product Engineering, Go-To-Market, and executive stakeholders to embed cutting-edge AI capabilities (including LLM orchestration, RAG, and agentic systems) into enterprise workflows. You'll establish responsible AI governance, drive innovation in AI services, and serve as Pega's primary internal and external engineering evangelist for Generative AI.

This role requires at least 3 days in our Krakow office per week.

This role requires a seasoned technology executive with deep expertise in AI/ML, proven success launching enterprise-scale AI products, and the ability to balance rapid innovation with enterprise-grade security, compliance, and governance requirements. You'll shape the future of AI-driven workflow automation and deliver measurable business value to global enterprise clients. You have already trialed multiple GenAI technologies in the last 2.5 years understanding the pitfalls and capabilities of different LLMs and approaches.

Strategic Leadership & Roadmap

Define and execute Pega’s Generative AI vision and multi-year technical roadmap aligned with business goals. Identify market opportunities, prioritize investments, and set KPIs and governance for responsible AI. Drive innovation in LLM orchestration, RAG, and agentic architectures.

Engineering, Architecture & Technical Execution

Lead end-to-end development from research to deployment and optimization. Ensure architectural consistency, performance, security, and compliance. Implement best practices for MLOps, model evaluation, prompt management, and observability. Manage vendor ecosystem for cost and risk balance.

Serve as GenAI evangelist; partner with Product, Engineering, GTM, and Customer Success to embed AI into workflows. Create reference architectures and enablement assets to accelerate adoption. Align with Legal, Security, and Compliance on responsible AI.

Talent Development

Recruit and mentor a global team across engineering and research. Foster a culture of experimentation and learning. Establish career paths, knowledge sharing, and engineering excellence.

Thought Leadership & Market Engagement

Publish insights on GenAI trends and Pegasystems’ approach. Engage with analysts, academia, and industry leaders. Represent Pegasystems at conferences and in strategic customer dialogues.

• 15+ years in software leadership, with 7+ years leading AI/ML initiatives.
• 5+ years leading AI/ML initiatives with direct experience in Generative AI (LLMs, RAG - chunking, construction technqiues, agentic systems) and NLP. Proven track record launching and scaling AI-powered products/features at enterprise B2B scale.
• Strong learning curiosity given the fast-moving nature of GenAI. Sees that Pega Blueprint is a game changer.
• Outstanding ability to drive outcomes rather than be siloed by internal teams.
• Deep technical expertise with modern AI stacks and enterprise SaaS architectures; strong knowledge of cloud-native deployments (e.g., microservices, Kubernetes, APIs).
• Experience leading globally distributed engineering teams (50+ members) and driving cross-functional alignment.
• Strong command of responsible AI, data privacy, security, and model governance in regulated environments.
• Exceptional communication, executive presence, and stakeholder management; ability to translate complex technology into clear business value.

Additional Preferred Qualifications

• Advanced degree (MS or PhD) in Computer Science,…