Anchor AI Data Engine team; set strategy and architecture.
Accelerate ML dataset generation and data warehouse stack.
Reduce dev cycles for pipelines and ML models.
Mentor engineers; establish standards and best practices.
Define tech vision for metrics storage and ML datasets.
Collaborate with ML research, training, and data engineering to scale architectures.

🎯 Requirements

BS or MS in Computer Science or related field.
6+ years in data platform engineering.
3+ years in a technical lead, staff, or senior architecture role with mentoring.
Petabyte-scale data platforms; data warehouses and ML training data stores.
Experience with Airflow or Step Functions.
Python; C++ a plus.
Agentic AI/LLMOps: LangChain, LlamaIndex, DSPy.
Storage/Vector ecosystems: Parquet, Iceberg; Milvus, Qdrant.

🎁 Benefits

Hybrid schedule with in-office time at Boston, Pittsburgh, or Las Vegas or fully remote.
Motional benefits include medical, dental, vision, 401k and more.

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