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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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