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AI Data Platform Lead

2 weeks, 2 days ago
Canada
Full-time
Lead
Data Engineer
Data Science and Analytics
Apache Airflow AWS dbt Feature Engineering GPT Machine Learning Python Snowflake SQL
Apply Now
Agiloft

Agiloft

Agiloft is a global leader in Contract Lifecycle Management (CLM) software, automating processes, reducing risk, and driving revenue for over 3 million users worldwide.

Capital Markets
51-250
Founded 1990
$45M raised
View All Jobs 16

Description

  • Own the end-to-end data architecture for the Data Warehouse Foundation for AI-first consumption, BI, and reporting.
  • Lead enterprise data modeling across all 11 departments to create canonical models for cross-functional use cases.
  • Design and implement the contextual intelligence layer, including RAG architecture, vector store strategy, knowledge base ingestion, and unstructured data processing.
  • Build and maintain the agentic data integration layer for real-time access, memory/state persistence, orchestration data, and output integration.
  • Own the AI/ML feature layer, including feature engineering standards, training data pipelines, feature store architecture, and model output integration.
  • Design and govern the operational data and GPT context layer, including structured context feeds, freshness SLAs, and reuse standards.
  • Lead the Data Warehouse Foundation build with the external consulting team and ensure the implementation follows AI-first principles.
  • Design and manage data ingestion, ELT/ETL, and orchestration pipelines across source systems with reliability, performance, and cost efficiency.
  • Establish and enforce AI data engineering standards, data quality processes, and least-privilege access controls in partnership with Security.
  • Partner with data, FP&A, BI, AI Agent, and GPT systems stakeholders to align infrastructure, semantic layers, roadmaps, documentation, and knowledge transfer.

Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
  • 7–10 years of experience in data engineering, data architecture, or a related technical function.
  • At least 3 years of experience focused on AI or ML data infrastructure.
  • Snowflake experience required, with experience in dbt, Airflow or equivalent orchestration, and ELT/ETL pipeline design.
  • Experience designing data architecture for AI consumption, including vector databases, embedding pipelines, RAG systems, or feature stores.
  • Strong data modeling skills across dimensional, normalized, and AI-optimized schemas.
  • Experience building and operating real-time or near-real-time data pipelines for operational AI use cases.
  • Proficiency in Python and SQL, with experience in cloud data infrastructure on AWS required.
  • Experience designing data access patterns and governance controls for AI systems, including least-privilege access and audit logging.
  • SaaS industry experience required.
  • Experience in private equity-backed SaaS organizations preferred.
  • Experience with agentic AI frameworks such as LangGraph, Mastra, or equivalent preferred.
  • Experience building or operating RAG architectures at production scale preferred.
  • Experience with agent memory architectures and state persistence design preferred.
  • Familiarity with AI governance and compliance requirements for automated decision-making preferred.
  • Experience with Tines or equivalent no-code/low-code orchestration platforms preferred.
  • Exposure to contract lifecycle management, legal tech, or professional services data domains preferred.

Benefits

  • Medical, dental, and vision insurance.
  • Short-term and long-term disability coverage.
  • Life insurance and AD&D, plus supplemental life insurance options.
  • Health care and dependent care Flexible Spending Accounts.
  • 401(k) with company match.
  • Flexible vacation and paid time off for eligible salaried employees.
  • Paid parental leave.
  • Voluntary benefits including pet insurance.
  • Remote work environment with support for healthy work/life balance, floating holidays, and a quarterly wellness day.

Interested in this position?

Apply directly on the company website

Apply Now

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