About this opportunity
Simulations Plus lists this Enterprise AI and Integration Engineer opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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Enterprise AI and Integration Engineer
Full Time Professional US 1 Attachments
2 days ago Requisition ID: 1092
Salary Range: $100,000.00 To $120,000.00 Annually
Simulations Plus stands as a global leader in model-informed and AI-accelerated drug development. We create value for our clients by accelerating the discovery, development, and commercialization of pharmaceuticals and other products through innovative science-based software and consulting solutions.
Leadership truly cares about maintaining a positive culture and employee well-being. We offer fully remote work, flexible schedules, and generous vacation policy along with affordable health coverage, annual bonus, and more! Check out how much our employees love working here: .
The Enterprise AI and Integration Engineer is a hands‑on technical individual contributor responsible for building, integrating, implementing, and supporting enterprise AI, automation, and business system solutions.
This role works directly with business stakeholders, process owners, IT, and technical teams to turn business needs into working solutions. The position takes solutions from technical discovery and proof of concept through development, integration, testing, deployment, and stabilization.
The role is highly hands‑on and includes building AI agents and workflows, developing system integrations, configuring enterprise platforms, creating proofs of concept, troubleshooting technical issues, and supporting enterprise system implementations. The Enterprise AI and Integration Engineer may own the technical delivery of assigned initiatives from start to finish while working within established enterprise architecture, security, and technology standards
Department: Operations Internal Grade: 11 Direct Reports: No Status: Exempt Location: Remote Job Responsibilities: AI, Automation, and Agent Development Design, build, configure, test, and deploy AI workflows, copilots, intelligent agents, and automation solutions using approved enterprise platforms
Develop agent instructions, prompts, tools, knowledge connections, APIs, retrieval mechanisms, guardrails, escalation paths, and human‑in‑the‑loop workflows
Connect AI solutions with enterprise systems, applications, and data sources
Build reusable agent patterns, workflows, prompts, connectors, templates, and technical components
Implement evaluation, monitoring, exception handling, and quality controls for AI‑enabled solutions
Troubleshoot and optimize deployed AI and automation solutions for reliability, performance, usability, and business value
Systems Integration and Enterprise Applications Design, build, test, and support integrations between ERP, CRM, financial, project management, collaboration, operational, data, automation, and AI systems
Develop and troubleshoot REST APIs, authentication, connectors, data transformations, integration workflows, and event‑driven processes
Configure enterprise applications, workflows, business rules, and related platform capabilities required to deliver business solutions
Diagnose and resolve technical issues involving APIs, authentication, data flows, integrations, automation, and enterprise applications
Work with system owners and architects to ensure solutions follow established architecture, security, integration, and change‑management standards
Proofs of Concept and Solution Development Rapidly develop proofs of concept and working prototypes to evaluate ideas, technologies, integrations, and AI use cases
Work directly with stakeholders to demonstrate prototypes, gather feedback, and iterate on solutions
Convert successful prototypes into secure, tested, documented, and supportable internal products and production solutions
Evaluate emerging AI, automation, integration, and enterprise platform capabilities through hands‑on experimentation
Develop reusable technical components and patterns that accelerate future implementations
End‑to‑End Implementation Translate business and process requirements into technical designs, prototypes, implementation plans, and production solutions
Perform technical discovery to understand systems, data, APIs, dependencies, constraints, security requirements, and implementation risks
Own assigned solutions through development, configuration, integration, testing, deployment, stabilization, and transition to ongoing support
Coordinate technical activities with business teams, IT, system owners, vendors, and implementation partners
Develop and execute technical testing, resolve defects, support user acceptance testing, and troubleshoot implementation issues
Support production deployments and provide post‑implementation stabilization and knowledge transfer
Enterprise System Implementations Participate in enterprise platform and business‑system implementations, providing hands‑on technical expertise throughout the implementation lifecycle
Build and configure integrations, automations, workflows, AI capabilities, and system functionality required for implementations
Work with implementation partners and vendors to validate technical configurations, interfaces, integrations, and data flows
Coordinate and troubleshoot technical dependencies across systems
Help ensure new enterprise platforms integrate effectively with the organization’s broader application, data, automation, and AI environment
Governance, Security, and Quality Implement established security, privacy, responsible AI, data‑use, testing, documentation, and change‑control requirements
Build appropriate logging, monitoring, human oversight, exception handling, and operational controls into solutions
Partner with Information Security, IT, Legal, Quality, system owners, and business stakeholders as required
Create technical documentation, support materials, implementation records, and knowledge‑transfer documentation
Collaboration and Technical Enablement Communicate technical approaches, dependencies, risks, progress, and implementation issues to business and technical stakeholders
Demonstrate solutions and prototypes and incorporate stakeholder feedback into development
Share reusable technical approaches, components, lessons learned, and implementation practices with other team members
Provide hands‑on technical support and guidance to analysts, system administrators, process owners, and implementation teams
Contribute technical expertise to transformation initiatives while working within established enterprise architecture and technology standards
Qualifications: 3+ years of experience in systems integration, enterprise applications, software or low‑code development, intelligent automation, AI enablement, or related technical roles
Demonstrated hands‑on experience building, configuring, integrating, testing, deploying, or supporting enterprise technology solutions
Hands‑on experience with AI‑enabled workflows, copilots, intelligent agents, retrieval‑augmented solutions, generative AI applications, or similar AI technologies
Experience with enterprise systems and platforms such as ERP, CRM, Microsoft Power Platform, Copilot Studio, Dynamics, Salesforce, Freshworks, or comparable technologies
Experience working with REST APIs, authentication, data flows, connectors, integration workflows, and related integration technologies
Experience developing proofs of concept, prototypes, automations, integrations, or internal technology solutions
Ability to translate business requirements and ambiguous problems into practical technical solutions
Ability to work across development, configuration, integration, testing, deployment, troubleshooting, and production support
Understanding of human + AI workflows, including prompts, tools, knowledge sources, guardrails, evaluations, exception handling, and human oversight
Experience participating in enterprise application or cross‑functional technology implementations
Strong problem‑solving, technical documentation, communication, and collaboration skills
Experience working in regulated or enterprise environments preferred
Experience in life sciences, healthcare, GxP, SOX, or similarly regulated environments preferred
Occasional travel required for meetings, training, and conferences
Education: Bachelor’s degree in information systems, computer science, engineering, operations, pharmaceutical sciences, or a related field or equivalent combination of education and relevant professional experience
Cloud, Microsoft, AI, automation, integration, or enterprise application certifications a plus
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