The Pharm. Sci Agentic & Generative AI Architect is a hands-on technical leader responsible for designing, building, and scaling agentic and generative AI solutions in support of Pharmaceutical Sciences initiatives. This role translates Big Ideas into production-ready AI systems, applying strong engineering discipline, scalable architecture, and responsible AI practices. The role operates as a senior individual contributor with broad technical influence, partnering closely with scientific and product leads while maintaining accountability for technical design and execution. ROLE RESPONSIBILITIES:Agentic & Generative AI Architecture. Design and implement agentic AI systems capable of multi-step reasoning, tool use, and autonomous task execution. Architect enterprise-grade Gen. AI solutions, including RAG pipelines, embedding strategies, orchestration layers, and evaluation frameworks. Delivery & Technical Execution. Lead Po. Cs and pilots and scale successful solutions into production-ready capabilities. Establish reusable architectural patterns, reference implementations, and technical standards for Gen. AI and agentic systems. Ensure solutions meet expectations for reliability, observability, performance, and cost effectiveness. Integration & Enablement. Integrate AI solutions with existing platforms, data sources, and workflows to support adoption. Partner with science and product leads to translate requirements into robust technical designs and delivery milestones. Mentor team developers and contribute to raising overall Gen. AI and agentic AI maturity. Responsible AI Implementation. Embed governance, security, evaluation, and monitoring considerations into solution design and deployment. Support sustainable operation through appropriate lifecycle and maintenance practices. BASIC QUALIFICATIONS:Degree in Computer Science, Software Engineering, AI/ ML, or equivalent applied experience required and with 6 years (Bachelor’s), 5 years (Master’s), or 1 year (PhD) of relevant experience. Significant hands-on experience building production software and applied AI systems. Deep experience with Gen. AI, RAG architectures, and agentic workflow design. Strong programming skills (e.g., Python) and modern AI engineering practices. PREFERRED QUALIFICATIONS:Experience operating in regulated or process-heavy environments. Track record of delivering reusable platforms, accelerators, or reference architectures. Ability to communicate complex technical concepts clearly to non-technical partners.