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

Financials

51-250 (75)

Founded 1990

$45M raised

18 open positions

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AI Data Platform Lead

1 hour, 7 minutes ago

United States

Full-time

Lead

Data Architect

Data Science and Analytics

Apache Airflow AWS dbt Kafka Machine Learning Python Snowflake SQL

Apply Now

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 18

Description

Own the end-to-end data architecture for the Data Warehouse Foundation for BI, reporting, and AI-first consumption.
Lead data modeling across all 11 departments and create canonical enterprise data models for cross-functional use.
Design the contextual intelligence layer, including RAG architecture, vector store strategy, knowledge ingestion, and unstructured data processing.
Build and maintain the agentic data integration layer, including real-time access patterns, memory and state persistence, 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 operational data and GPT context feeds, including freshness, access SLAs, and cross-department data reuse standards.
Lead the Data Warehouse Foundation build with the external consulting team and ensure the implementation follows AI-first architecture principles.
Design and manage ingestion, ELT/ETL, and orchestration pipelines across source systems with attention to reliability, performance, and cost.
Establish AI data engineering standards, quality assurance processes, and reusable pipeline components across the organization.
Own data access policy design and least-privilege controls in partnership with Security, and define data quality monitoring for AI-consumed data.
Partner with infrastructure, BI, FP&A, AI Agent Engineering, and GPT teams to align architecture, semantic layers, and orchestration needs.
Manage the AI Ops data architecture roadmap and translate business requirements into prioritized technical work.

Requirements

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field required.
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; experience with dbt, Airflow or equivalent orchestration, and ELT/ETL pipeline design.
Demonstrated experience designing data architecture for AI consumption, such as vector databases, embedding pipelines, RAG systems, or feature stores.
Strong data modeling skills across dimensional, normalized, and AI-optimized schema paradigms.
Experience building and operating real-time or near-real-time data pipelines for operational AI use cases.
Proficiency in Python and SQL, with cloud data infrastructure experience on AWS required.
Experience designing data access patterns and governance controls for AI systems, including least-privilege access and audit logging.
Demonstrated ability to lead cross-functional technical programs and communicate complex architecture decisions to executives and stakeholders.
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 production-scale RAG architectures preferred.
Experience with agent memory architectures and state persistence design preferred.
Familiarity with AI governance and compliance requirements for automated decision-making preferred.
Experience supporting executive-level AI progress reporting from a technical infrastructure perspective 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 for employee, spouse, and child.
Health care and dependent care Flexible Spending Accounts.
401(k) with company match.
Flexible vacation / paid time off for eligible salaried employees.
Paid parental leave.
Voluntary benefits including pet insurance.
Remote work opportunity in the United States.

Interested in this position?

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