Artificial Intelligence Manager

Qualifications:

• 7+ years’ experience in data engineering, data platform, analytics, or ML engineering roles, with at least 3+ years in a people-/team-management role.
• Hands-on experience building and operating large-scale data platforms (data lakes/warehouses, Spark/Databricks, Snowflake/Redshift/BigQuery, streaming with Kafka/Kinesis).
• Demonstrated track record of taking ML/AI projects from POC to production. Practical experience with MLOps tooling and pipelines (e.g., MLflow, Kubeflow, SageMaker, or equivalent).
• Deep familiarity with model serving and inference architectures (real-time and batch), model monitoring, automated retraining, and drift detection.
• Strong engineering skills: Python / SQL (and/or Scala/Java), data pipeline frameworks, and versioned data/model workflows.
• Experience with LLMs and modern AI application patterns: prompt engineering, retrieval-augmented generation (RAG), knowledge graphs, LLM safety/guardrails, and LLMOps frameworks (e.g., LangChain, LlamaIndex).
• Cloud platform experience (AWS / Azure / GCP) and experience designing cost-efficient, production-grade ML inference at scale.
• Experience with data governance, cataloging (Amundsen/Atlas/Data Catalog), lineage and privacy compliance (GDPR/CCPA) in a production environment.
• Excellent people and cross-functional leadership skills, with strong communication, stakeholder influence, and program management ability.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field. Advanced degree (MS/PhD) in a quantitative or engineering discipline preferred.