Description

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

Key Skills

Education

Any Graduate