TELECOMMUTE Forward Deployed AI Engineer

Intellibee, Inc.

United States

12 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Software Applications Microsoft Azure Computer Programming Python (Programming Language) Software Engineering Systems Integration TypeScript Scripting

+9 more

Google Cloud Enterprise Software Applications Delivery Pipeline Large Language Models Multi-Agent Systems AI Platforms Automation Anywhere Servicenow Microservices

Job description

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., * 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.

Requirements

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.