Principal Product AI Data Engineer
Core
Lead the design and delivery of AI-enabled data products and intelligent workflows for Life Sciences and Healthcare clients, specifically tracking medical devices and supplies.
Role type
Principal Product AI Data Engineer
Builds
AI-enabled solutions for a suite of products tracking medical devices and supplies
Domain
Life Sciences / Healthcare / Biotech / Pharmaceutical
Deliverable
production ML models
Required skills
Python, PySpark, Snowflake, Databricks, Airflow, Delta Lake, AWS, Azure, SQL, PostgreSQL, Oracle, Generative AI, LLMs, AI agents, vector databases, RAG architectures, MLOps, feature engineering, model deployment, model monitoring, model retraining, data pipeline architecture, agentic workflows
Preferred skills
healthcare data regulations, SpecKit, OpenSpec, big data platforms
Technologies
Python, PySpark, Snowflake, Databricks, Airflow, Delta Lake, AWS, Azure, PostgreSQL, Oracle, SpecKit, OpenSpec
Responsibilities
Lead the design, architecture, and delivery of complex Generative and Agentic AI systems; Execute high-impact AI initiatives ensuring solutions are scalable and reliable; Establish engineering standards and guide implementation best practices; Design innovative AI solutions including data pipelines, architectures, and agentic workflows; Collaborate with Data Scientists to productionize machine learning models; Build and optimize vector databases, RAG architectures, and AI-driven workflows
Seniority
Principal, hands-on IC with mentorship
