AI Lead Data Engineer

This is a remote position.

The AI Lead Data Engineer acts as the technical lighthouse for our data squads. With 8–10 years of experience, you are responsible for the technical design and delivery of robust AI data platforms. You will bridge the gap between Data Science and Data Engineering, ensuring that our infrastructure supports advanced MLOps and LLM requirements while leading a team of engineers to maintain elite coding and governance standards.

Key Responsibilities:

• Technical Leadership: Lead a squad of data engineers in the design and execution of end-to-end AI data architectures.

• AI Observability & Governance: Build frameworks for bias detection, ethical AI considerations, and auditability using platforms like Collibra or Alation.

• Infrastructure Design: Lead the transition to Data Lakehouse architectures and implement feature stores for enterprise-wide model reuse.

• Delivery Management: Work with stakeholders to manage project milestones, technical risks, and on-time delivery.

• Advanced MLOps: Implement enterprise-grade CI/CD for ML workflows using MLflow or Kubeflow.

• GenAI Orchestration: Design specialized pipelines for LLM evaluation frameworks and prompt-tuning datasets.

Requirements

•  8–10 years of experience with at least 3 years in a lead role managing technical delivery.

• Expert-level Python, SQL, and PySpark optimization for distributed environments.

• Deep experience with AI platform services such as Amazon SageMaker, Azure ML, or Vertex AI.

• Hands-on experience implementing enterprise observability with Monte Carlo or Datadog.

• Experience with data governance platforms (Collibra/Alation) and implementing Responsible AI guardrails.

• Deep understanding of modern data patterns (Medallion architecture, Data Mesh, Lakehouse).

• Advanced knowledge of security frameworks, including PII masking, data lineage, and HIPAA/GDPR compliance.

• Exceptional ability to mentor junior engineers and communicate complex data strategies to business stakeholders.

Benefits

• Professional training programs 

• Work with a team that’s recognized for its excellence. We’ve been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We’ve also received the Great Place To Work® certification for five years in a row