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Bengaluru · Hybrid · 10-13 Yrs · Sep 6
Information Technology Support Services · 10000+ Employees · London, US
Hiring: Engineering
What employees say
+ Work Life Balance is great.
− Career Progression is stilted and not good.
More reviews on the company profile.
Interview experience · Associate STEM content analyst
The interview process had two rounds. The first round was a written/online assessment. In this round, they asked questions related to basic technical concepts, electronics fundamentals, and some trending technologies. T
Easy difficulty · Chennai · 129 reports
More interview insightsJob description
Overview
We are seeking a Principal Product AI Data Engineer to join our MedTech team in Bangalore.
Responsibilities
- 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
- 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
- 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.
- Full-time
- 40 hrs/week
- Hybrid working model
Qualifications
- 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
- Strong verbal and written communication skills
- Understanding of healthcare data and regulations
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Job application FAQ
Last updated 20 September 2026
- How do I apply for Principal Product AI Data Engineer at Clarivate?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Clarivate may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Principal Product AI Data Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Principal Product AI Data Engineer remote or on-site in Bengaluru, Karnataka?
- This listing is marked hybrid with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Principal Product AI Data Engineer role at Clarivate?
- This is a principal Principal Product AI Data Engineer role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.