Principal Data and AI Integrations Architect

November 12

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Agiloft

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Enterprise • SaaS • Artificial Intelligence

Agiloft is a leading provider of enterprise contract lifecycle management (CLM) solutions designed to streamline and enhance the contracting process. Their Data-first Agreement Platform is a force multiplier that helps organizations reach agreements quickly and collaboratively, leveraging data to operate smarter and more transparently. Agiloft's offerings include integration hubs and an AI platform tailored for business services, healthcare, legal professionals, and procurement. With a high customer retention rate and recognition as a leader in the Gartner Magic Quadrant for CLM, Agiloft is known for its user-friendly no-code interface and robust service and support. The company emphasizes direct relationships and trust, promising to help clients 'Agree and Thrive.

201 - 500 employees

Founded 1991

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $45M Private Equity Round on 2020-08

📋 Description

• Own enterprise integration architecture and standards for internal corporate systems (ERP, HRIS, Finance, Salesforce, etc.). • Design and implement integrations connecting AI systems (GPTs, AI agents) with enterprise applications and data sources ERP, HRIS, knowledge bases, collaboration tools). • Develop and manage APIs, middleware, and data pipelines to ensure smooth data exchange and interoperability across platforms. • Collaborate with the GPT & AI Systems Lead and AI Agent Architect to operationalize AI-driven workflows and automation. • Partner with Engineering, IT, and AI Operations to ensure architectural alignment across enterprise standards, data, and long-term IT strategy. • Advise the Data Governance Committee on architectural decisions impacting data flow, retention, and quality. • Proactively identify gaps and propose architectural improvements to optimize performance and data quality. • Oversee data flow design, ensuring high availability, accuracy, and compliance with enterprise data governance standards. • Partner with IT and compliance teams to safeguard data privacy and meet regulatory requirements (SOC2, ISO27001, GDPR, etc.). • Establish monitoring, logging, and troubleshooting practices for data pipelines and integrations to ensure system reliability. • Maintain documentation of integration dependencies, workflows, and data schemas. • Develop and maintain APIs, data pipelines, and middleware connecting internal systems and AI platforms. • Build proofs of concept and reusable integration frameworks to accelerate AI enablement. • Implement observability, error handling, and performance tuning across integration layers. • Act as the primary liaison between the Go-to-market Tech Stack team and the AI Operations function. Provide technical expertise and integration support to ensure AI initiatives scale effectively across departments.

🎯 Requirements

• 10+ years of experience in systems integration, enterprise architecture, or IT development roles. • 5+ years of hands-on experience with APIs, middleware, and enterprise system integrations. • Strong knowledge of data pipeline design, ETL/ELT processes, and integration frameworks. • Demostrated experience connecting AI/ML or LLM-based systems, with enterprise applications. • Strong understanding of security, compliance, and governance considerations for enterprise data and AI systems. • Proven expertise in integration frameworks (e.g., MuleSoft, Boomi, Workato, Zapier, or custom API frameworks). • Proficiency with Agile/SCRUM, including input into sprint scope and prioritization based on technical dependencies. • Strong problem-solving and troubleshooting skills across complex system environments. • Excellent communication skills, with ability to translate complex technical solutions to business aligned recommendations. • Demonstrated ability to work cross-functionally to deliver integrations that create measurable business value.

🏖️ Benefits

• Floating holidays • Quarterly, no-questions-asked wellness day