Summary
Overview
Work History
Education
Skills
Languages
Timeline
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Nathan Barstad

Nathan Barstad

San Francisco,CA

Summary

Solutions Architect with 7+ years building and deploying reliable AI systems in enterprise environments — spanning knowledge management, case-based reasoning, and NLP-driven virtual assistants before LLMs, through to modern agentic architectures, RAG, and MCP integrations.

Deep focus on AI reliability and hallucination mitigation in production deployments. Experienced translating complex technical architectures into measurable business outcomes for C-suite and engineering stakeholders alike.

Passionate about Anthropic's mission to build AI that is safe, interpretable, and genuinely beneficial — and driven to help enterprise customers deploy it responsibly at scale.

Overview

6
6
years of professional experience

Work History

Senior Agentic Solutions Consultant (Enterprise)

Workato
2026.01 - Current
  • Led technical discovery for enterprise Applied AI engagements across financial services, healthcare, Government and SaaS — translating complex business requirements into actionable LLM integration architectures
  • Designed and delivered tailored technical demos spanning agentic AI orchestration, MCP integrations, and AI governance frameworks to both engineering teams and C-suite stakeholders — directly accelerating enterprise sales cycles
  • Architected and executed production-grade POCs in collaboration with AI engineers, achieving technical wins that advanced complex, multi-stakeholder enterprise deals
  • Designed scalable agentic AI architectures tailored to enterprise customer requirements, integrating LLM capabilities with existing technology stacks across CRM, ERP, and cloud environments
  • Researched and implemented LLM optimization techniques — including deterministic payload filtering (99.8% payload reduction) and context compression — translating performance gains into quantifiable business ROI for enterprise customers
  • Built and deployed an internal agentic AI workspace to standardize solution architecture patterns, reducing build overhead and improving cross functional team velocity
  • Developed and delivered internal enablement program on MCP technology landscape, equipping the broader team to translate agentic AI capabilities into customer-facing business value narratives

Senior Solutions Consultant

eGain
2024.08 - 2025.12
  • Architected enterprise AI solutions integrating conversational AI, agent assist, and advanced analytics translating complex customer requirements into scalable deployments with measurable business outcomes
  • Built custom demos and POCs using React, JavaScript, Python, REST APIs and MCP demonstrating enterprise AI workflows and quantifiable ROI to technical and executive stakeholders
  • Led a full overhaul of eGain's demo platform, introducing modular architecture and AI integration that significantly improved customization speed and scalability across the team
  • Partnered with Sales, Product, and Engineering to align technical solution design with enterprise requirements and customer business objectives.
  • Influenced product roadmap decisions by relaying client feedback and collaborating with Product and Engineering on emerging AI capabilities.

Solutions Consultant

eGain
2021.03 - 2024.08
  • Developed deep expertise in enterprise knowledge management architecture, NLP, LLM application, RAG and ReAct agentic engines — with a focus on reducing hallucination and improving AI reliability in production deployments
  • Architected and demonstrated AI solutions spanning conversational AI, inference reasoning engines, and agentic workflows, tailored to complex enterprise requirements across multiple industries
  • Built and customized demo components in React.js, JavaScript, and Python to illustrate enterprise AI platform fit and workflow integration to technical and executive audiences
  • Partnered with GTM, Product, and Engineering to align customer knowledge management and AI requirements with product capabilities, influencing solution design and roadmap direction
  • Facilitated pre-sales to delivery transitions for enterprise customers, maintaining technical continuity and building long-term client trust

Associate Solutions Consultant

eGain
2020.04 - 2021.03
  • Supported enterprise pre-sales engagements focused on knowledge management systems, case-based reasoning engines, and NLP-driven intent recognition for virtual assistant deployments
  • Built foundational expertise in AI reliability and knowledge retrieval architecture — the core problems that modern LLM deployments are still solving at enterprise scale

Education

Computer Science

Hackbright Academy
San Francisco, CA

Skills

AI & Architecture
LLMs Agentic AI & ReAct Frameworks RAG & GraphRAG Knowledge Management Systems Case-Based Reasoning NLP & Intent Recognition AI Evaluation & Hallucination Mitigation MCP Prompt Engineering Token Optimization

Engineering
Python JavaScript Reactjs REST APIs SQL System Integration

Enterprise & GTM
Solution Architecture Technical Discovery Executive & Technical Presentations POC Development Cross-functional Collaboration Pre-Sales to Deployment

Languages

English
Native or Bilingual
Italian
Full Professional

Timeline

Senior Agentic Solutions Consultant (Enterprise)

Workato
2026.01 - Current

Senior Solutions Consultant

eGain
2024.08 - 2025.12

Solutions Consultant

eGain
2021.03 - 2024.08

Associate Solutions Consultant

eGain
2020.04 - 2021.03

Computer Science

Hackbright Academy
Nathan Barstad