Lead AI Architect - Data Platform

New

Based in United StatesFull-TimeLead

SalaryCAD $180,000–$240,000, plus performance bonus and benefits

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Job Details

10+ years of experience building and operating production-scale data and AI platforms.
Proven experience designing and delivering enterprise data architectures.
Deep expertise with AWS cloud technologies (S3, IAM, KMS, Glue, Lake Formation, Athena, Redshift, SageMaker, Bedrock, EKS/ECS).
Strong knowledge of modern data architecture patterns (lakehouse, Iceberg, Delta, or Hudi, data modeling, ingestion, orchestration, lineage).
Hands-on experience with AI/ML platform technologies (model management, feature stores, experiment tracking, prompt engineering, RAG).
Strong understanding of AI governance, security controls, privacy considerations, and PII handling.
Advanced programming skills with Python and SQL.
Proficiency with infrastructure-as-code tools such as Terraform or AWS CDK.
Demonstrated player-coach leadership experience.
Bachelor’s degree in Computer Science, Engineering, or a related field.

Define and own the target-state architecture for enterprise data and AI capabilities, documenting technical decisions, standards, and long-term platform strategy.
Design and build a secure, scalable AWS-based data lake that serves as a governed source of truth for analytics, machine learning, and AI experimentation.
Develop AI platform foundations that support experimentation and production use cases, including model access, retrieval-augmented generation (RAG), evaluation frameworks, observability, and cost controls.
Create and enforce data governance, security, privacy, and AI safety standards, including access controls, data classification, audit processes, and responsible AI practices.
Lead the development of a future platform engineering team by mentoring engineers, establishing best practices, and supporting hiring initiatives.

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