Enterprise Implementation Engineer, AI Solutions

TechSeeNew York, NY
Hybrid

About The Position

TechSee is seeking an experienced Enterprise Implementation Engineer, AI Solutions to lead the technical deployment, integration, and workflow architecture for their global enterprise clients. This customer-facing role involves bridging business requirements with technical solutions, including mapping workflows, building REST API integrations, and deploying AI agentic automation. The engineer will report to the Director of Delivery and Implementation, manage end-to-end implementation cycles, handle sandbox and production environments, and serve as a technical advisor with significant autonomy.

Requirements

  • 3–5 years of technical experience in Implementation, Solutions Engineering, or Technical Consulting within an enterprise SaaS environment.
  • Strong hands-on experience working with REST APIs, webhooks, and technical integrations with enterprise CRMs (Salesforce, ServiceNow).
  • Proven experience working with AI agentic platforms, autonomous agents, or complex logic-driven workflow builders.
  • Strong technical communication skills - able to articulate architecture and technical tradeoffs to both engineering teams and business executives.
  • Working knowledge of authentication and deployment protocols (SSO, SFTP, IVR, basic Cloud/IT configurations).
  • Highly self-motivated, quick learner, and capable of operating autonomously in a fast-paced environment.

Nice To Haves

  • Prior experience with visual workflow editors or low-code/no-code platforms.
  • Background in Technical Project Management or Solution Architecture.

Responsibilities

  • Design, model, and translate complex customer business logic into optimized digital workflows using the TechSee Flow Editor.
  • Build and maintain seamless REST API integrations connecting TechSee with major enterprise CRM ecosystems (Salesforce, ServiceNow, Zendesk, etc.) and core systems (SFTP, SSO, IVR).
  • Leverage and configure AI agentic platforms to build scalable, automated customer journeys across presale, pilot, and production phases.
  • Lead customer-facing technical discussions, architectural discovery sessions, and solution walkthroughs with enterprise stakeholders.
  • Configure sandboxes and production environments (Guru) and assist in deploying Cloud Connect plugins for fast, standardized integrations.
  • Drive projects forward independently with minimal supervision, taking ownership of technical milestones.

Benefits

  • Competitive base salary
  • Performance-based equity/incentives
  • Top-tier health & wellness coverage
  • 401(k) matching
  • Generous budget dedicated to continuous professional growth
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