Sr. Principal Scientific Product Specialist, AI

Simulations Plus stands as a premier provider in the biopharma sector, offering advanced software and consulting services that enhance drug discovery, development, research, clinical trial operations, regulatory submissions, and commercialization. Our comprehensive biosimulation solutions integrate artificial intelligence/machine learning, physiologically based pharmacokinetics, physiologically based biopharmaceutics, quantitative systems pharmacology/toxicology, and population PK/PD modeling approaches. We also deliver simulation-enabled performance and intelligence solutions alongside medical communications support for clinical and commercial drug development. Our cutting-edge technology is licensed and utilized by leading pharmaceutical, biotechnology, and regulatory agencies worldwide. 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, stock options, annual bonus, and more! Check out how much our employees love working here: https://www.comparably.com/companies/simulations-plus . The Senior Principal Product Enablement Specialist, AI will serve as a senior technical enablement expert responsible for enabling AI-powered platform capabilities across the Simulations Plus ecosystem. This role focuses on the enablement, implementation, and operational readiness of AI agents, AI-assisted workflows, and the composition layer that supports cross-product functionality. The role combines deep expertise in AI systems, product enablement, and enterprise software implementation to ensure that AI capabilities are successfully integrated, tested, documented, and supported across the product portfolio. This individual contributor role provides the opportunity to shape how AI capabilities are delivered and adopted across products while remaining hands-on with implementation, testing, and customer enablement. Department: Product and Technology Internal Grade: 14 Direct Reports: No Status: Exempt Location: Remote Job Responsibilities • AI Product Enablement Leadership • Define and establish enablement best practices for AI-powered capabilities across the ecosystem • AI composition layer integration • shared AI agents (e.g., data agents, reporting agents) • cross-product AI workflows • Develop implementation frameworks for deploying AI capabilities consistently across products • Establish standards for AI feature testing, validation, and operational readiness • Create reusable implementation patterns and configuration templates for AI capabilities • Drive standardization of AI documentation, enablement materials, and training resources • AI Capability Implementation • Implement AI agents and AI-assisted features within product workflows • integrate AI agents with product APIs and services • configure AI pipelines and execution environments • adapt shared AI capabilities to product-specific contexts • Collaborate with engineering and product teams to operationalize AI features • Support integration of shared AI services into multiple product environments • Identify and resolve implementation challenges during development and deployment • Ensure AI features function consistently across the product ecosystem • AI Feature Testing and Validation • Develop and execute testing frameworks for AI-powered product capabilities • functional testing of AI agents • evaluation pipelines for AI outputs • reliability and performance testing • Implement human-in-the-loop validation strategies for AI-assisted workflows • Identify edge cases and failure modes in AI-driven features • Work with engineering teams to improve reliability and monitoring of AI systems • Establish quality assurance practices specific to AI-enabled product features • Documentation and Training • Develop comprehensive documentation for AI-enabled product capabilities • architecture and usage documentation • implementation and integration guides • troubleshooting resources • Create training curricula for internal teams and customers adopting AI capabilities • Produce educational materials explaining AI workflows and agent capabilities • Ensure documentation remains aligned with evolving AI platform capabilities • Support onboarding and training of teams implementing AI-powered workflows • Operational Support and Troubleshooting • Serve as a technical escalation point for complex AI feature deployments • Diagnose and resolve issues related to AI agents, pipelines, and workflows • Support services and support teams in troubleshooting AI-enabled functionality • Identify patterns in operational issues to improve AI reliability and usability • Contribute improvements to operational practices for AI-powered features • Cross-Product Collaboration • Collaborate with Product and Engineering teams to ensure consistent AI capability delivery • Work with Services and Support teams to capture operational insights from AI d