AI Solutions Architect

🕒 Julho 23

🌲 North Carolina, Massachusetts – Remoto

🌲 North Carolina – Remote 🍂 Massachusetts – Remote

💵 $125.800 - $350.300 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

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IQVIA

SiteLinkedInTodas as Vagas

10.000+ funcionários

💼 Consultoria

🏭 Manufatura

📣 Marketing

💰 $1.000.000.000 Post-IPO Debt em 2023-05

Consulting • Manufacturing • Marketing

A IQVIA é líder global em análise de dados e soluções de tecnologia, dedicada a melhorar os desfechos em saúde. A empresa utiliza sua plataforma Connected Intelligence para aproveitar o poder de analytics avançado e inteligência artificial, impulsionando a inovação na área da saúde. A IQVIA foca em diversas frentes, incluindo pesquisa clínica, tecnologia e serviços de consultoria, para solucionar desafios complexos em saúde e acelerar a entrega de novas terapias aos pacientes.

Descrição

• Lead the design and delivery of AI solutions across pharmaceutical research and development. • Recommend appropriate architectures that align business objectives, data assets, and technology capabilities. • Design and implement solutions using foundation models, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworks. • Architect biomedical knowledge graphs, ontologies, and semantic data models that support scientific discovery, reasoning, and intelligent information retrieval. • Lead data integration, harmonization, and governance efforts across scientific, clinical, and operational data sources. • Serve as a trusted advisor to business, scientific, and technical stakeholders, leading workshops and solution design sessions. • Stay current on advances in AI, foundation models, and knowledge graphs.

🎯 Requisitos

• Master's degree or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, Engineering, or a related field. • Significant experience delivering AI, data, analytics, or digital transformation solutions in life sciences or pharmaceutical organizations • Demonstrated expertise in designing and deploying solutions leveraging foundation models, retrieval-augmented generation (RAG), agentic AI architectures, knowledge graphs, semantic technologies, vector databases, semantic search, machine learning, and predictive analytics • 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. • Understanding of pharmaceutical R&D processes, including drug discovery, translational science, clinical development, safety, and regulatory approval. • Excellent communication, presentation, and consulting skills.

🏖️ Benefícios

• Health insurance • Retirement plans • Paid time off • Professional development • Flexible work arrangements