Advisor - AI/ML Engg, Lilly USA Commercial Technology

Overview

Advisor-level AI/ML Engineer for LillyUSA Commercial Technology in Bengaluru, defining enterprise AI blueprints and delivering AI capabilities across products and commercial workflows.

What you'll do

• Define enterprise AI blueprints, platform standards, and governance frameworks for LillyUSA Commercial Technology.
• Establish engineering guardrails for explainability, bias mitigation, audit trails, and responsible AI compliance.
• Lead frontier and applied AI work including multi-agent systems, orchestration, and LLM-based solutions.
• Design and deploy RAG architectures, fine-tuned models, and embedding-based retrieval systems at enterprise scale.
• Architect end-to-end MLOps pipelines for feature engineering through training, evaluation, deployment, monitoring, and retraining.
• Translate commercial business needs into AI/ML solutions for use cases such as sales forecasting and anomaly detection.
• Mentor engineers and lead design reviews and architecture discussions.

What you'll need

• Master’s degree in a quantitative field OR Bachelor’s with 6+ years of relevant experience.
• 5+ years designing, engineering, and deploying ML/AI systems in production cloud environments.
• Proficiency in Python (required).
• Strong command of PySpark and SQL.
• Production MLOps experience including ML CI/CD, model registries (MLflow or equivalent), monitoring, and drift detection.
• Cloud platform experience on AWS, Azure, and/or Databricks.
• Experience defining AI/ML architecture standards and governance at enterprise scale.

Details

• Location: Bengaluru, India.