Solutions Engineer (Deployment) – AI Agents & Workflows

We are seeking a high-conviction Solutions Engineer to own the full customer lifecycle, from initial technical discovery and solution scoping through code execution, system architecture, and production go-live.

My client is a tier-1 venture-backed (YC, Felicis, Khosla) AI native start-up building autonomous computer-use agents that automate complex back-office enterprise workflows, especially where legacy systems lack native APIs or documentation. Their agentic platform combines computer vision, dynamic browser navigation, and intelligent document processing (IDP) to convert messy unstructured data into structured actions in the browser.

Unlike traditional pre-sales roles where you build light proof-of-concepts and pass them off, you will sit on the front lines of enterprise AI deployment. You’ll work directly with client stakeholders to translate complex, messy back-office processes into robust, production-grade AI agent workflows.

What You’ll Own

• Full Customer Lifecycle: Lead technical discovery, process mapping, architecture design, and deployment management for enterprise clients. You are the single source of truth for the technical customer relationship.
• Technical Workflow Execution: Architect and build maintainable, high-reliability AI agent workflows using TypeScript, dynamic browser automation, and document processing engines.
• System Maintainability & Quality: Design workflows built for long-term operational health, ensuring proper graph structures, robust error handling, and self-healing mechanics.
• Product Intuition & Feedback Loop: Act as the direct bridge between enterprise clients and core platform engineering—translating real-world workflow friction into feature requests, workflow templates, and platform guardrails.
• Post-Launch Visibility & Adoption: Drive post-launch customer visibility, monitoring execution replays, handling edge-case debugging, and driving long-term account expansion.

What We’re Looking For

• Educational Foundation: B.S. or M.S. in Computer Science, Computer Engineering, or Software Engineering.
• Relevant Experience: 2+ years of experience in a customer-facing technical role (Solutions Engineering, Technical Solutions Engineering, Forward Deployed Engineering, or Technical Account Engineering) at a high-growth B2B SaaS or AI startup.
• Hands-on Coding Depth: Proven fluency writing production TypeScript or Python. You must understand software engineering best practices, data structures, and code maintainability. Experience with browser automation or RPA is beneficial.
• Client & Project Leadership: Exceptional verbal and written communication skills with the ability to lead executive discovery calls, manage project timelines, and explain complex technical trade-offs to non-technical stakeholders.
• Builder Mindset: Urgency, high agency, and genuine excitement about building frontier AI agent systems in messy enterprise environments.