Remote Enterprise AI & Integration Engineer

Simulations Plus; Northern (KY); Hybrid; USD 100,000 - 120,000; Full time

Benefits offered by this job

Fully remote work

Annual bonus

Generous vacation policy

Affordable health coverage

Job summary

Simulations Plus, a global leader in model-informed and AI-accelerated drug development, seeks an Enterprise AI and Integration Engineer. This hands-on role builds, integrates, and supports enterprise AI, automation, and business-system solutions.

You will collaborate with business stakeholders, IT, and technical teams to turn needs into production deployments, develop AI agents and workflows, and ensure security and standards.

Qualifications

• 3+ years of experience in systems integration or enterprise applications.
• Hands-on experience with AI-enabled workflows and automation.
• Experience designing and integrating enterprise platforms with security considerations.

Responsibilities

• Design, build, test, and support AI workflows and automation solutions.
• Develop and troubleshoot REST APIs, connectors, data transformations, and integration workflows.
• Configure enterprise applications, workflows, and business rules.
• Own solutions from discovery to deployment and transition to support.
• Collaborate with stakeholders to ensure architecture, security, and change management standards.

Skills

AI workflows

Systems integration

REST APIs

Automation

Technical design

Education

Bachelor's degree in information systems, computer science, engineering, operations, pharmaceutical sciences, or a related field

Certifications in Cloud/Microsoft/AI/automation/integration

Tools

Microsoft Power Platform

Copilot Studio

Dynamics

Salesforce

ERP systems

Job description

Simulations Plus, a global leader in model-informed and AI-accelerated drug development, seeks an Enterprise AI and Integration Engineer. This hands-on role builds, integrates, and supports enterprise AI, automation, and business-system solutions.

You will collaborate with business stakeholders, IT, and technical teams to turn needs into production deployments, develop AI agents and workflows, and ensure security and standards.