AI Automation Specialist | Workflow ArchitectAI Automation Specialist | Workflow Architect
Erik
ID Verified$5,600
per month
($32/hour)
Profile Description
Senior AI automation engineer with 8+ years of experience designing, deploying, and stabilizing production workflow automation systems across CRM, SaaS, and LLM-enabled environments. Architected automation platforms processing 500+ monthly workflows with 97%+ reliability. Led production stabilization efforts, reducing failure rates from 35–40% at launch to 5–10%, with peak performance at 2%. Specialized in [link hidden] orchestration, REST API integrations, webhook-based event-driven systems, pr...
Top Skills
Skills & Expertise
Skill Levels Explained:
💡 Hover over any skill level to see exact years of experience
AI & Automation
Work Experience
Lifecycle Automation & AI Systems Architect
Koffeeshot Consulting
Jan 2011 - Oct 2025
Key Achievements:
● Architected BrewBot, a production AI automation platform processing 500+ monthly workflows with 97%+ reliability across onboarding and internal operations ● Designed webhook-based, event-driven automation architectures integrating CRM systems, document storage platforms, and SaaS tools via REST APIs ● Built 40+ reusable, version-controlled prompts enabling standardized AI decisioning frameworks and cost-per-execution optimization ● Compressed onboarding workflows from multi-hour manual coordination to under 2 hours end-to-end ● Eliminated 10–15 hours per week of repetitive operational workload through intelligent routing, classification logic, and conditional AI invocation ● Engineered retry logic, fallback paths, and least-privilege OAuth/API authentication to ensure stable, secure deployments
Automation Systems Specialist – Remote Operations
Ziprent
Oct 2023 - Sep 2025
Key Achievements:
● Led stabilization and optimization of a production AI-driven workflow platform supporting 1,200+ active accounts and processing 60–75 daily priority issues ● Lowered automation failure rates from 35–40% at launch to 5–10% through webhook re-architecture, ingestion module refactoring, and API integration tuning; achieved peak 2% failure rate ● Increased workflow efficiency by 15–20% by refining routing logic, classification modules, and modular prompt frameworks ● Modernized outdated SOP logic, pricing modules, and federal/state compliance rules to align AI decisioning with current operational standards ● Architected multi-system integrations across intake channels, CRM systems, and documentation repositories without linear headcount expansion ● Established regulated deployment protocols and rollback strategies to reduce automation risk in high-volume environments
Quick Stats
Certifications
Education
Bachelor's Degree
University Of Arizona
2003 - 2005