Lead AI & Data Engineer

Location
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This is a hybrid remote/in-office role.

Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week following Company policy.

About our Company
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Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster.

A Dassault Systèmes brand (Euronext Paris: FR0014003TT8, DSY.PA), Medidata is headquartered in New York City and has been recognized as a Leader by Everest Group and IDC. Discover more at  . Listen to our latest podcast, from Dreamers to Disruptors , and follow us at @Medidata.

About the Team
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We are seeking a Lead AI & Data Engineer to design, build, and deploy production-grade AI solutions and data products. In this role, you will lead the development of AI-powered solutions leveraging large language models (LLMs), retrieval-augmented generation (RAG), agent orchestration, and modern data architectures to enable new AI-driven capabilities across our Virtual Twin ecosystem.

The ideal candidate combines deep data engineering and AI-native development expertise to build scalable, secure, and reliable AI-enabled data solutions. You will drive technical architecture, data pipeline development, AI integration, and engineering best practices, translating complex business and clinical research requirements into production-ready solutions. You will work closely with product management, data science, platform engineering, and clinical experts, to deliver innovative capabilities that enable intelligent workflows and data-driven decision-making.

Responsibilities
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• Engineer scalable, automated data pipelines and AI-powered solutions using modern AI technologies, vector databases, and automation, applying CI/CD practices and tools such as Python, SQL, and Git.
• Design, develop, and deploy production-grade AI-powered solutions leveraging LLMs, RAG, and agentic workflows.
• Implement and maintain integrations via API and MCP that connect applications and agents to enterprise data, tools, and skills in line with governance, security and compliance controls.
• Implement agent orchestration and workflow patterns using frameworks such as Lang Graph, Lang Chain, or equivalent technologies.
• Develop agent-driven metadata management solutions to maintain data catalogs, business glossaries, lineage documentation, and governance policies.
• Apply advanced skills in data architecture, data science engineering, data modeling, and data quality using modern cloud-native technologies.
• Document and communicate technical work clearly to stakeholders at all levels, both technical and non-technical.

Collaborate effectively in Agile environments and cross-functional teams

Qualifications
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• 7+ years of experience in data engineering or data science, with a strong foundation in enterprise data architecture, including at least 2 years of hands‑on experience in AI and data engineering.
• Bachelor's degree in a technical or scientific field, such as Data Engineering, Data Science, Computer Science, or similar.
• Hands‑on experience developing AI-native solutions using LLMs, RAG, AI agents, and agent orchestration patterns.
• Skilled in integrating AI/ML pipelines into production‑grade data infrastructure with…