(Senior) AI Engineer - Data & AI Organisation (all genders) 1

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

AI Engineer

Location: India

Your Role

Within the Data & AI Organization, a team of data enthusiasts, engineers, and AI specialists, you will design and implement reliable analytics pipelines and enterprise-grade agentic workflows that deliver scalable AI solutions across Enabling Functions such as Finance, HR, Procurement, and Legal. Integrating large language models (LLMs), predictive models, and multi-agent frameworks, you will ensure model reliability, reproducibility, and performance at enterprise scale, leveraging platforms such as AWS, Palantir Foundry, and Snowflake.

Embedding explainability, transparency, and security into every AI solution is a core expectation of this role. You will use agentic engineering tools to accelerate delivery and work closely with Product Owners, Data Engineers, and Data Scientists in agile, cross-functional Product-Oriented Delivery Teams (PODs). You will support business teams in consuming AI outputs through APIs, dashboards, and embedded analytics, while actively contributing to internal AI literacy by sharing knowledge, mentoring peers, and piloting innovative approaches. A genuine curiosity for the latest developments in AI and data science will drive you to continuously identify opportunities to experiment, measure impact, and advance the field within the organization.

Who You Are

• You hold a university degree or equivalent qualification in Mathematics, Physics, Computer Science, or a related discipline.

• You bring 5 or more years of experience in data science, data engineering, analytics, or application design within a global organization, including exposure to Finance, HR, or Procurement data and business processes.