AI Solutions Architect

We are seeking an experienced AI Solutions Architect to lead the design and delivery of next-generation AI solutions for pharmaceutical and life sciences organizations. This individual will help clients transform scientific, clinical, and operational data into explainable, trustworthy, and scalable AI solutions that accelerate research and development, improve decision-making, and drive innovation across the drug development lifecycle. Role OverviewAs an AI Solutions Architect, you will combine yourexpertisein foundation models, knowledge graphs, agentic AI, and data architecture with strong consulting and client leadership skills. You will work closely with scientific, business, and technical stakeholders to design and deliver solutions thatleveragenext-generation AI capabilities and deliver measurable business value. Key ResponsibilitiesAI Solution ArchitectureLead the design and delivery of AI solutions across pharmaceutical research and development, translating business and scientific challenges into scalable solutions with measurable outcomesRecommendappropriate architecturesthat align businessobjectives, data assets, and technology capabilitiesFoundation Models and Agentic AIDesign and implement solutions using foundation models, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworksDefine approaches for model selection, orchestration, grounding, prompt design, evaluation, validation, and production deploymentKnowledge Graphs and Semantic SystemsArchitect biomedical knowledge graphs, ontologies, and semantic data models that support scientific discovery, reasoning, and intelligent information retrievalIntegrate knowledge graphs with foundation models to improve contextual understanding, explainability, and AI performanceData Strategy and EngineeringLead data integration, harmonization, and governance efforts across scientific, clinical, and operational data sourcesEstablish data foundations that support scalable, trustworthy, and AI-ready solutionsClient Leadership and ConsultingServe as a trusted advisor to business, scientific, and technical stakeholders, leadingworkshopsand solution design sessionsCommunicate complex technical concepts to both executive and technical audiences, guiding clients from strategy through implementationInnovation and Capabilities DevelopmentStay current on advances in AI, foundation models, and knowledge graphs, bringing emerging capabilities into solutionsContribute to reusable methodologies, accelerators, and leading practices that scale AI delivery across engagementsWhat We're Looking ForMaster's degree or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, Engineering, ora relatedfield.Significant experiencedelivering AI, data, analytics, or digital transformation solutions in life sciences or pharmaceutical organizationsDemonstratedexpertisein designing and deploying solutionsleveragingfoundation models, retrieval-augmented generation (RAG), agentic AI architectures, knowledge graphs, semantic technologies, vector databases, semantic search, machine learning, and predictive analyticsExperience designing AI solution architectures supported by strong data architecture principles.Strong programming and solution development experience, particularly in Python and modern AI frameworks.Experience with cloud platforms such as Azure, AWS, or Google Cloud.Experience designing and deploying AI solutions in regulated environments.Ability to translate complex business and scientific questions into structured AI solution designs and implementation plans.Understanding of pharmaceutical R&D processes, including drug discovery, translational science, clinical development, safety, and regulatory approval.Excellent communication, presentation, and consulting skills.Ability to engage effectively with both executive stakeholdersand highlytechnical teams.Preferred ExperienceExperience designing and implementing biomedical knowledge graph solutions, including the integration of knowledge graphs with foundation models and agentic AI to support intelligent applications and scientific discovery.Familiarity with biomedical ontologies, standards, and scientific data management practices, including FAIR data principles and semantic interoperability.ExperienceestablishingAI evaluation, validation, and governance frameworks, including benchmarking, human-in-the-loop review, and other quality assessment methodologies.Understanding ofthe end-to-end pharmaceutical value chain, including R&D, regulatory affairs, market access, medical affairs, commercial operations, and post-marketing functions.Experience leading client engagements and mentoring multidisciplinary technical teams.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative m