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Forward Deployed AI Engineer

Intellibee IncUnited States🇺🇸United StatesPosted 13 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Overview:

  • Seeking a Forward Deployed AI Engineer to work directly with customers to deploy and operationalize AI-powered workflow solutions.
  • This role combines AI engineering, full-stack development, enterprise integrations, and client-facing solution delivery.
  • Partner with business consultants, product teams, and customer stakeholders to develop agentic AI workflows, intelligent automations, and AI-powered integrations within ServiceNow and enterprise environments.

Key Responsibilities:

  • Deploy and configure agentic AI workflows and AI-powered automations.
  • Translate business requirements into technical architectures and implementation plans.
  • Build AI prototypes, demos, and proof-of-concepts for customer use cases.
  • Develop integrations between ServiceNow, enterprise systems, APIs, and AI services.
  • Build supporting scripts, microservices, automation logic, and integration services.
  • Implement LLM integrations, AI orchestration, and agentic workflows.
  • Troubleshoot and resolve issues across AI workflows, integrations, and automation pipelines.
  • Ensure AI solutions are secure, scalable, reliable, and production-ready.
  • Participate in customer workshops, discovery sessions, and technical discussions.
  • Clearly communicate technical concepts, architecture, and tradeoffs to technical and business stakeholders.
  • Contribute reusable components, automation assets, deployment patterns, and improvements to AI platforms and accelerators.
  • Collaborate with Business Consultants, Product Engineers, Data Engineers, AI/ML Engineers, and AI Center of Excellence teams.

Required Qualifications:

  • 5–8+ years of experience in software engineering, systems integration, enterprise platforms, or automation.
  • Strong experience in full-stack development, scripting, or enterprise integrations.
  • Hands-on experience with AI/LLM technologies or AI-powered applications.
  • Experience in client-facing engineering, consulting, or solution delivery.
  • Experience with AWS, Azure, or Google Cloud Platform.
  • Strong programming experience with JavaScript, TypeScript, Python, or similar scripting languages.
  • Experience with APIs, microservices, enterprise integrations, and automation.
  • Strong communication and problem-solving skills.
  • Ability to work effectively in fast-paced customer environments.

Skills

Microservices
AWS
Azure
Google Cloud
JavaScript
LLM
Python
TypeScript

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