- Engineering
Learn what a forward deployed engineer does, how the role differs from traditional software engineering, and why hire one to support enterprise customers.
Alpharetta, GA, USA
I help teams move AI workflows and data pipelines from prototype to reliable, production systems.
Most issues aren’t in the model - they’re in the surrounding system.
Pipelines become hard to reason about, expensive to run, and unpredictable in production.
I focus on identifying where systems break down and what to fix first:
- orchestration and workflow state
- pipeline reliability and failure handling
- latency, cost, and scaling bottlenecks
Former Salesforce architect. 20+ years in distributed systems. Built event-driven systems processing billions of events monthly and led architecture for AI-driven platforms.
I had the opportunity to work with Mark during a critical phase of building PharmaCast-AI. He quickly grasped a complex system of AI pipelines, data workflows, and integrations, providing clear guidance on architecture, reliability, and scalability. He identified key risks early—especially around stability and maintainability. Mark combines deep technical expertise with practical judgment. I highly recommend him for AI and data platform teams. Eric C Founder, PharmaCast-AI
AI systems and event-driven architecture consulting for teams building real production systems. Mark Holton helps teams design, build, and stabilize AI workflows, pipelines, and distributed systems under real-world constraints.
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