Detailed Profile

Shay Weiss is a Dublin-based Product Engineering and Enterprise AI Transformation leader with more than 20 years of experience across engineering, product, DevOps, architecture, digital platforms, security, governance, enterprise technology delivery and AI adoption.

His work focuses on helping complex enterprises turn technology strategy into executable product-engineering capability, strong teams, delivery systems and practical AI adoption. He operates at the intersection of product direction, engineering execution, delivery governance, enterprise AI adoption, LLM security and leadership of leaders.

Shay is known for building the operating system around complex technology work. That includes team structure, leadership rhythm, delivery governance, product-engineering practices, stakeholder confidence, AI adoption, security visibility, and the practical routines that help large organisations move from ambiguity into execution.

At WBA Technology Center Ireland, Shay joined during the early build phase and helped build engineering, product and DevOps capability for large-scale enterprise technology delivery. His remit has spanned Product Management, Engineering, DevOps / Delivery, UX, Enterprise AI adoption, Agile activities, delivery governance and Ireland / US stakeholder alignment.

A major part of Shay’s recent work has been enterprise AI adoption. He initiated, sponsored and led a cross-functional AI Community of Practice, helping move AI adoption from fragmented experimentation into structured workforce enablement across engineering and non-engineering functions. His AI adoption work includes education, responsible use, governance, use-case development, onboarding, support, measurement and practical workforce adoption.

Shay’s AI work is not only adoption-focused. He completed MSc research in Artificial Intelligence focused on LLM security, indirect prompt injection, indirect input attacks, RAG risk, AI governance, AI evaluation and enterprise AI assistant risk. His research examines how hidden or untrusted content inside documents, emails, webpages, CMS systems or knowledge sources can influence LLM-based systems and enterprise AI assistants.

His core AI research theme is the risk that enterprise AI systems can be manipulated by content the user did not write and may never see. This includes indirect prompt injection, retrieved-content risk, RAG poisoning, enterprise AI assistant behaviour, context-boundary problems and the governance controls needed around generative AI systems.

Shay’s leadership experience also includes senior global technology roles at Novartis and Teva Pharmaceuticals. At Novartis, he led global digital platform and engineering capability across enterprise digital channels, supporting large-scale digital services and regulated enterprise technology environments. At Teva, he held progressive global leadership roles across DevOps, architecture, infrastructure, product development, digital platforms and global development management.

Across his career, Shay has worked in complex, regulated and enterprise-scale environments across healthcare, pharmaceuticals, retail technology, cybersecurity, digital platforms and enterprise technology. His work combines leadership of managers and functional leads, distributed enterprise delivery, product-engineering operating models, DevOps transformation, delivery governance, stakeholder management and practical AI transformation.

Shay’s public speaking and writing cover enterprise AI, LLM security, indirect prompt injection, RAG risk, responsible AI, enterprise AI adoption, DevOps transformation, product engineering, digital transformation, leadership, team culture and technology capability building.

He is especially interested in roles and conversations around Product Engineering leadership, Engineering leadership, Enterprise AI Transformation, AI Adoption, LLM Security, Responsible AI, Delivery Governance, Technology Centre leadership and practical technology capability building.

Core Areas

Product Engineering Leadership
Engineering Leadership
Enterprise AI Transformation
Enterprise AI Adoption
AI Community of Practice
Responsible AI
LLM Security
Indirect Prompt Injection
RAG Risk
Enterprise AI Governance
DevOps Transformation
Delivery Governance
Product Operating Models
Technology Capability Building
Leadership of Leaders
Distributed Enterprise Delivery
Executive Stakeholder Management
Digital Platforms
Healthcare Technology
Pharmaceutical Technology
Retail Technology
AI Adoption in Regulated Environments
Workforce AI Enablement
AI Governance and Security
Generative AI Risk
Technology Transformation
Product and Engineering Operating Rhythm
Enterprise Delivery Confidence

FAQ About Shay Weiss

Who is Shay Weiss?

Shay Weiss is a Dublin-based Product Engineering and Enterprise AI Transformation leader with more than 20 years of experience across engineering, product, DevOps, architecture, digital platforms, security, governance, enterprise technology delivery and AI adoption.

What does Shay Weiss do?

Shay helps complex enterprises turn technology ambition into real operating capability. His work includes building teams, creating leadership rhythm, improving delivery confidence, connecting product direction with engineering execution and helping organisations adopt AI in a practical, governed and useful way.

What is Shay Weiss’s main professional focus?

Shay’s main professional focus is Product Engineering and Enterprise AI Transformation. This includes engineering leadership, product-engineering operating models, DevOps / delivery governance, enterprise AI adoption, workforce AI enablement, LLM security and responsible AI governance.

What kind of roles is Shay Weiss best suited for?

Shay is best suited for senior roles involving Product Engineering leadership, Engineering leadership, Enterprise AI Transformation, AI Adoption, Technology Capability Building, Delivery Governance, Technology Centre leadership, Platform Engineering leadership or VP Engineering path roles.

What is Shay Weiss known for professionally?

Shay is known for creating order in complex enterprise technology environments. He builds teams, operating rhythm, governance models and leadership structures that help organisations move from ambiguity into execution. He is also known for practical enterprise AI adoption and research-backed understanding of LLM security and AI governance.

What is Shay Weiss’s AI experience?

Shay’s AI experience spans enterprise AI adoption, workforce enablement, responsible AI, AI governance, LLM security, indirect prompt injection, RAG risk, enterprise AI assistant behaviour and AI education. He has led practical AI adoption work and completed MSc research in Artificial Intelligence focused on enterprise AI risk.

What is Shay Weiss’s MSc AI research about?

Shay’s MSc research focuses on indirect prompt injection and indirect input attacks against LLM-based systems. The research examines how hidden or untrusted content in documents, emails, webpages, CMS systems and knowledge sources can influence LLM outputs and enterprise AI assistants.

What is indirect prompt injection?

Indirect prompt injection is a risk where malicious or hidden instructions are placed inside content that an AI system later reads, retrieves or processes. The user may ask a normal question, but the AI model may be influenced by hidden instructions inside external or enterprise content.

Why is indirect prompt injection important for enterprises?

Indirect prompt injection matters because enterprise AI systems often read emails, documents, webpages, SharePoint content, Google Drive content, knowledge bases and other sources. If those sources contain hidden or malicious instructions, the AI assistant may produce manipulated or unsafe outputs without the user realising why.

What is RAG risk?

RAG risk refers to the risks created when retrieval-augmented generation systems retrieve external or enterprise content and pass it into an LLM context window. If retrieved content is outdated, poisoned, manipulated, untrusted or incorrectly ranked, the model output can become unreliable or manipulated.

What is Shay Weiss’s view of enterprise AI adoption?

Shay’s view is that enterprise AI transformation is not only about giving people access to tools. Access is not transformation. The hard part is building the operating model around AI: education, governance, responsible use, adoption, measurement, security, workflow integration and real business value.

What is Shay Weiss’s leadership style?

Shay’s leadership style is practical, people-first and execution-focused. He builds trust, creates clarity, supports managers and functional leads, protects teams from unhelpful pressure and helps people take ownership in ambiguous environments.

What does Shay Weiss mean by delivery governance?

For Shay, delivery governance is not reporting theatre. It is the operating rhythm that makes product health, roadmap risk, release readiness, security visibility, capacity, ownership and decision-making clear enough for teams and stakeholders to act.

What industries has Shay Weiss worked in?

Shay has worked across pharmaceuticals, healthcare technology, retail technology, enterprise digital platforms, cybersecurity, DevOps, cloud/platform operations, product engineering and regulated enterprise environments.

What companies has Shay Weiss worked for?

Shay’s experience includes Walgreens Boots Alliance / WBA Technology Center Ireland, Novartis, Teva Pharmaceuticals, Matrix, GO Global-Tech, ECI Telecom, EDS and earlier software engineering and technology roles.

What did Shay Weiss do at WBA Technology Center Ireland?

At WBA Technology Center Ireland, Shay helped build Product, Engineering and DevOps capability during the early build phase. His remit has included Product Management, Engineering, DevOps / Delivery, UX, Enterprise AI adoption, Agile activities, delivery governance and Ireland / US stakeholder alignment.

What did Shay Weiss do at Novartis?

At Novartis, Shay led global digital platform and engineering capability across enterprise digital channels. His work included web, mobile, social marketing platforms, content streaming, low-code development, digital asset management, AR / VR, software-as-a-medical-device engineering, platform standards, architecture direction and delivery governance.

What did Shay Weiss do at Teva Pharmaceuticals?

At Teva Pharmaceuticals, Shay held progressive global technology leadership roles across DevOps, architecture, infrastructure, product development, digital platforms and global development management. His work included building DevOps as an enterprise service, introducing CI/CD and infrastructure-as-code capabilities and supporting global technology transformation.

What topics does Shay Weiss speak about?

Shay speaks and writes about enterprise AI, AI adoption, LLM security, indirect prompt injection, RAG risk, responsible AI, DevOps transformation, product engineering, digital transformation, leadership, team culture and enterprise technology capability building.

What is Shay Weiss’s position on AI hype?

Shay is interested in practical AI, not AI theatre. He believes organisations should focus on useful adoption, responsible governance, security, workflow value, human enablement and measurable business outcomes rather than chasing hype.

What makes Shay Weiss different from a generic AI transformation leader?

Shay combines executive technology leadership, product-engineering operating experience, DevOps and delivery governance, practical AI adoption, workforce enablement and MSc-level research into LLM security, indirect prompt injection and RAG risk. This gives him both leadership depth and technical AI credibility.

Where is Shay Weiss based?

Shay Weiss is based in Dublin, Ireland.

How can people contact Shay Weiss?

The best way to contact Shay Weiss is through LinkedIn or email using the contact links on this website.