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Simulations Plus

Enterprise AI and Integration Engineer

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

Job description

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

Come join the happiest employees in the industry by visiting and apply today!

Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

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