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Lead Software Engineer, AI

Global leader in trusted and transformative intelligence, providing enriched data, insights, analytics and workflow solutions across knowledge, research and innovation.
Machine Learning
Staff Software Engineer
Hybrid
1,000 - 5,000 Employees
6+ years of experience
AI · Healthcare

Job Description

Join Clarivate's AI Innovation team as a Lead Software Engineer, where you'll play a crucial role in shaping the future of AI across their Life Sciences & Healthcare business. This position offers an exciting opportunity to build robust back-end systems for high-impact AI use cases, working closely with product, data science, and architecture teams globally. Based in Barcelona with a hybrid work arrangement, you'll be responsible for designing and implementing scalable software solutions, mentoring team members, and ensuring the seamless integration of AI capabilities across the product portfolio. The role requires expertise in Java, Python, cloud platforms, and database technologies, with a focus on delivering smart, scalable solutions that align with business goals. As part of a newly formed team, you'll have the chance to influence the direction of AI implementation while working in a collaborative, global environment.

Last updated 12 days ago

Responsibilities For Lead Software Engineer, AI

  • Ensure high-quality, maintainable code through best practices, reviews, and testing
  • Design and implement scalable software solutions and optimize system performance
  • Mentor team members, contribute to documentation, and support process improvements
  • Engage with customers, address technical queries, and explore innovative approaches
  • Stay current with technology trends and contribute to cross-functional engineering projects

Requirements For Lead Software Engineer, AI

Java
Python
PostgreSQL
MongoDB
MySQL
  • Bachelor's Degree or equivalent in Computer Science, Software Engineering, or related field
  • 6 Years of Relevant Experience
  • Experience developing robust APIs using modern frameworks
  • Knowledge of Cloud Platforms such as AWS or Azure
  • Knowledge of relational or noSQL DBs
  • Deep understanding of back-end development best practices
  • Flexibility to work within a globally distributed team