Principal Architect
Core
Lead end-to-end design, development, and delivery of machine learning and Generative AI solutions, building scalable data pipelines and AI systems from problem framing to production deployment.
Role type
Principal Architect (ML/GenAI & Data Engineering)
Builds
Production-grade ML/GenAI systems, scalable data pipelines, and cloud-based AI platforms
Domain
Biotechnology / Machine Learning / Generative AI
Deliverable
production ML models
Required skills
Machine learning, Generative AI (LLMs, transformers), System architecture, Data engineering, MLOps/LLMOps, Cloud platforms (AWS/Azure/GCP), Python, SQL, Apache Spark, Databricks
Preferred skills
Deep learning, Agentic AI frameworks, RAG architectures, Vector databases, Statistical modeling, Responsible AI practices
Technologies
Databricks, Apache Spark, SQL, Python, AWS, Azure, GCP, MLflow, Kubeflow, Airflow, Docker, Kubernetes, PyTorch, TensorFlow, LangChain
Responsibilities
Lead end-to-end design of ML/GenAI solutions; Architect large-scale Data Engineering and ML initiatives; Design and implement advanced data pipelines and AI systems; Build and optimize robust data foundations for AI; Define evaluation and governance frameworks for ML/GenAI; Partner with stakeholders to translate objectives into data-driven solutions; Establish best practices in MLOps/LLMOps/DataOps; Mentor L4 and L5 engineers; Lead cross-functional collaboration; Drive experimentation strategy.
Seniority
Principal, hands-on IC with mentorship