AI Solutions Architect

🕒 July 23

🌲 North Carolina, Massachusetts – Remote

🌲 North Carolina – Remote 🍂 Massachusetts – Remote

💵 $125.8k - $350.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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IQVIA

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

🏭 Manufacturing

📣 Marketing

💰 $1G Post-IPO Debt on 2023-05

Consulting • Manufacturing • Marketing

IQVIA is a global leader in data analytics and technology solutions, dedicated to improving health outcomes. The company utilizes its Connected Intelligence platform to harness the power of advanced data analytics and artificial intelligence, facilitating innovation in healthcare. IQVIA focuses on various areas, including clinical research, technology, and consulting services to solve complex healthcare challenges and accelerate the delivery of new therapies to patients.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

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