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
