Ayaad AlShamroukh

Executive Summary

AI and technology executive with 25+ years leading software engineering, enterprise technology, and AI initiatives, including 10 years running engineering organizations and 3 years as chief executive of two technology companies. I help organizations move AI from experimentation to secure, governed, production-ready capabilities that deliver measurable business value. I work at the intersection of business strategy and technology: helping executives identify where AI creates value, establish appropriate governance, select practical architectures, and move initiatives into enterprise production. Deep engineering foundations in enterprise software, multimedia and video streaming platforms, and cloud systems across financial services, legal technology, government and public safety, healthcare, and education.

What I Bring

• AI Strategy & Transformation — Moving organizations from AI experimentation to enterprise deployment.
• AI Governance & Risk — Governance, human-in-the-loop controls, auditability, security, compliance, and responsible deployment.
• Enterprise Architecture — AI platforms, LLMs, RAG, identity, integration, infrastructure, and production systems.
• Executive & Client Engagement — Translating complex AI capabilities into business strategy and communicating with senior stakeholders.

Core Competencies

• Enterprise AI strategy & roadmap
• AI governance, risk & responsible deployment
• Executive advisory & client engagement
• Engineering leadership & organization building
• Product & technology strategy
• Enterprise & AI platform architecture (LLM, RAG, identity)
• Multimedia, live & on-demand video streaming systems
• Cloud (AWS) and on-premises infrastructure
• Budgeting, forecasting & vendor management
• Regulated-industry delivery: financial services, government, healthcare

Professional Experience

• Set product strategy, architecture, and commercial direction; built partnerships and reseller channels for government, banking, healthcare, energy, and defense customers.
• Designed the enterprise AI governance layer: policy enforcement at point of use, human-in-the-loop approvals, controlled data egress, and a tamper-evident audit trail; built an AI governance gateway for third-party coding tools.
• Delivered four AI platforms to production, including a real-time video intelligence system for banking security and a government procurement intelligence SaaS.
• Oversee delivery across web, desktop, VS Code, Visual Studio, and MCP integrations, with no cloud dependency.

• Evaluated IT systems and business processes; developed IT strategies and architectures aligned with business objectives.
• Led design and deployment of enterprise video and cloud systems with a focus on streaming infrastructure, networking, and security; advised on best practices and compliance.

• Led a large organization of software engineers, architects, and technical managers across all software development and delivery.
• Owned the architecture of the streaming stack: encoding and ingest, live and VOD delivery, recording, player and signage endpoints, and AWS cloud services.
• Defined and executed the software engineering strategy; owned the engineering budget, resource allocation, and cost control.
• Championed agile methodologies and a culture of collaboration, transparency, and continuous learning; managed technology partners and vendors.

• Owned the full system development life cycle and execution against project plans and delivery commitments in an Agile/Scrum environment.
• Delivered video platform features across streaming, recording, scheduling, and signage; reported integration issues and vulnerabilities with recommendations.

• Owned business strategy, revenue growth, and market expansion; directed product innovation and R&D for body-camera technology.
• Built strategic partnerships with law-enforcement agencies and government entities; represented the company at industry conferences and speaking engagements.
• Oversaw budgeting, forecasting, and resource allocation; championed data security, privacy, and regulatory compliance.

• Built, tested, and deployed scalable, highly available, modular software products, including the OTT video streaming service (C#/.NET, SQL Server, IIS, AWS).
• Worked directly with clients on problem specifications and system designs; collaborated with performance engineers to remove bottlenecks and improve supportability.

• Object and component development, n-tier applications, and cross-system integration for healthcare systems.

• Support, maintenance, and enhancement of core health-plan systems; functional requirements, system testing, configuration, and data conversion supporting Regence core strategies.

• Object and component development, n-tier applications, cross-system integration, and system analysis and design for legal-services technology.

Education & Credentials

AI Engineering, MLOps & LLMOps

Hands-on experience designing and operating enterprise AI platforms from infrastructure through production: on-premises LLM infrastructure, GPU architecture and capacity planning, model serving and optimization, RAG and enterprise knowledge systems, model evaluation, observability, governance controls, identity integration, secure tool execution, and production lifecycle management.

• MLOps / LLMOps: deployment pipelines, model lifecycle, evaluation, regression testing, rollback, observability
• AI infrastructure: NVIDIA GPU environments, inference architecture, model serving, capacity planning
• Enterprise GenAI: LLMs, RAG, embeddings and vector knowledge, agents and governed tool execution
• Production architecture: APIs, Redis, MongoDB, authentication and identity, enterprise integrations
• AI governance & security: HITL approvals, permissions, audit trails, model and tool governance, policy enforcement
• Software delivery: CI/CD, secure SDLC, testing, architecture, production operations; AWS, Python, C#/.NET, SQL Server

Industries: Financial Services • Legal Technology • Government & Public Safety • Healthcare • Education • Regulated Enterprise    Languages: English and Arabic (professional fluency)