VP of Engineering · Enterprise AI & Forward Deployed Engineering (FDE) Leader
Architecting autonomous AI agent platforms, cloud-native distributed systems, and global Forward Deployed Engineering organizations.
Seattle, WA · me@fadymatar.com · linkedin.com/in/fadymatar · github.com/fmatar
Bridging embedded C-suite enterprise deployments directly into core autonomous AI platform architecture.
Serves as primary technical executive for global industry leaders—including NVIDIA, Dell, Chevron, DuTelecom, and Saudi Aramco—turning complex operational requirements into production AI systems with measurable financial ROI.
Leads, trains, and mentors DataRobot’s worldwide Forward Deployed Engineering (FDE) organization, cultivating high-ownership field architects embedded directly inside enterprise production environments across global hubs.
Channels frontline deployment patterns—Model Context Protocol (MCP) governance, hybrid RAG, zero-trust IAM, and cloud-native orchestration—back into core platform AI agent capabilities and agentic engineering workflows.
Technology executive and systems architect with 20+ years of experience scaling global engineering organizations, Forward Deployed Engineering (FDE) teams, and cloud-native distributed platforms across high-growth ventures and public enterprises.
As VP of Engineering at DataRobot, leads the worldwide Forward Deployed Engineering organization and spearheads core AI agent architecture—converting strategic enterprise mandates into deployed production ROI.
Hands-on open-source maintainer and contributor across Quarkus-LangChain4j and Eclipse Vert.x, pairing C-suite technology governance with deep execution in autonomous AI agents, Model Context Protocol (MCP), and event-driven Kubernetes infrastructure.
Lebanese American University · Beirut
Declarative enterprise Java LLM services, modular RAG pipelines with hybrid search, persistent memory, and Model Context Protocol (MCP) integrations for Quarkus.
Java · Quarkus · LangChain4j · MCP
Autonomous Clean Architecture SDLC engine enforcing Robert Martin TDD gates, Spec-Drift ADR sentinels, and SHA-256 Merkle gate receipts across multi-agent workflows.
AI Agents · Clean Architecture · TDD · Merkle Audit
Concentric architecture fitness analyzer and MCP server detecting layer inversions, synthesizing DIP refactors, and exporting LLM architectural dossiers.
MCP Server · Static Analysis · Architecture Fitness
Polyglot reactive microservices on the JVM alongside core contributions to JBoss Operations Network (RHQ), Drools, jBPM, and JBoss Transactions.
Vert.x · Reactive JVM · JBoss RHQ · Drools
Enterprise Field-to-Platform Delivery
Global FDE Leadership · C-Suite Field Architecture · Agentic Delivery Workflows · Enterprise Production ROI
Production Generative Architecture
Autonomous AI Agents · Model Context Protocol (MCP) · Quarkus-LangChain4j · Hybrid RAG & LiteLLM
High-Availability Infrastructure
Kubernetes & Knative · Apache Kafka & RabbitMQ · Quarkus & Eclipse Vert.x · AWS · GCP · Terraform
Zero-Trust & Architecture Fitness
Keycloak IAM · HashiCorp Vault · Multi-Tenant Compliance · Clean Architecture Audits
Building, training, and scaling embedded FDE teams that bridge C-suite enterprise requirements and core product engineering.
Production architectures for autonomous agents, MCP governance, hybrid RAG pipelines, and LLM orchestration with measurable ROI.
Scaling distributed engineering hubs across continents, modernizing delivery with agentic workflows, and mentoring VPs and directors.
Monolith-to-microservices decomposition, event-driven Kubernetes platforms, and technical due diligence for boards and investors.
Outside enterprise AI and distributed systems, I study classical acoustic repertoire—including J.S. Bach Cello Suites and Brazilian bossa arrangements—and publish long-form Substack essays on global engineering leadership.
For conversations on enterprise AI agents, open-source collaboration, or speaking invitations, write directly to .