We are seeking a Principal Product AI Data Engineer to join our MedTech team in Bangalore. In this role, you will lead the design and delivery of AI-enabled data products and intelligent workflows that drive innovation in the Life Sciences and Healthcare domain. You will collaborate across product, engineering, analytics, and enterprise teams to build scalable, high-quality solutions that deliver measurable business impact.   About You – experience, education, skills, and accomplishments   Bachelor’s Degree or equivalent in Computer Science, Software Engineering, Artificial Intelligence, or related field 10+ years of experience building and delivering production-grade software, including deployment of AI-powered product capabilities Strong experience with Python, PySpark, Snowflake, Databricks, Airflow, Delta Lake, and cloud platforms such as AWS or Azure Strong SQL and database expertise across platforms such as PostgreSQL, Oracle, Snowflake, and Databricks Experience partnering with product, analytics, and business stakeholders to drive measurable outcomes Strong verbal and written communication skills It Would Be Great If You Also Had Understanding of healthcare data and regulations Experience with SpecKit or OpenSpec for spec-driven development Experience building and scaling big data platforms What Will You Be Doing in This Role? Lead the design, architecture, and delivery of complex Generative and Agentic AI systems across teams and platforms Execute high-impact AI initiatives ensuring solutions are scalable, reliable, and aligned with business goals Establish engineering standards and guide implementation best practices Drive cross-functional collaboration and mentor engineers to foster technical growth Design innovative AI solutions including data pipelines, architectures, and agentic workflows Partner with product, design, and business leaders to align AI capabilities with strategic priorities AI/ML Engineering Responsibilities Collaborate with Data Scientists to productionize machine learning models Design and implement feature engineering pipelines Develop scalable ML data pipelines and model-serving architectures Support MLOps practices, including model deployment, monitoring, retraining, and governance Integrate Generative AI, LLMs, and AI agents into enterprise applications Build and optimize vector databases, RAG architectures, and AI-driven workflows Stakeholder Management Work closely with Product Managers, Architects, Business Analysts, and Executive Leadership Present technical solutions and architecture recommendations to stakeholders Drive roadmap planning and technology adoption initiatives and measurable outcomes. Product you will be developing Supporting and developing AI-enabled solutions for a suite of products that track medical devices and supplies across various markets and regions and provide valuable insights to our Biotech and Pharmaceutical clients.   About the Team    This role works closely with the product managers, data analytics and operations teams, other internal IT teams, and external vendors and partners. The team has over 15 engineers and reports to the Director of Software Engineering.   Hours of Work   Full-time 40 hrs/week Hybrid working model At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations. Clarivate is a global leader in trusted and transformative intelligence. We bring together enriched data, insights, analytics and workflow solutions, grounded in deep domain expertise across the spectrum of knowledge, research and innovation. Whether it’s providing insights to transform the water industry or accelerating the delivery of a critical vaccine, our aim is to fuel the world’s greatest breakthroughs by harnessing the power of human ingenuity. For more information, please visit clarivate.com

Principal Product AI Data Engineer.

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