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.