Principal Data and AI Integrations Architect

As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft's certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle.

Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.

We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that "EX = CX": when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.

Position Overview

The Principal Data & AI Integration Architect serves as the technical leader responsible for integrating Agiloft's AI ecosystem with its internal corporate systems. This senior individual contributor owns the end-to-end architecture, design standards, building, and implementation of integrations across ERP, CRM, HRIS, Finance, and collaboration platforms – ensuring a seamless, scalable, and secure enterprise technology environment. This role will reside on Agiloft's Tech Stack team.

As both a strategist and builder, the Principal Architect will serve as the bridge between IT infrastructure, enterprise systems, and Agiloft's growing AI ecosystem; owning integration standard and architecture across the corporate technology stack. They develop APIs, middleware, and data pipelines that enable data flow between systems and emerging AI capabilities, driving operational efficiency and intelligence across the enterprise. Partnering closely with IT, Data Governance, and AI leadership, this role ensures enterprise architecture evolves in step with the company's AI strategy.

The right candidate will have deep expertise in integrations architecture, API development, and data management, with the ability to design and implement seamless connections between GPT systems, AI agents, and core business applications. This position supports the GPT & AI Systems Lead and AI Agent Architect in realizing enterprise-wide AI value by ensuring robust, scalable, and secure integrations across the entire tech stack.

• AI & Data Integrations Leadership
• 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.
• Evaluate, recommend, and standardize integration tools, frameworks, and middleware to align with enterprise strategy.
• Data Management & Governance
• 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.
• Hands-on Development & Delivery
• 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.
• Serve as the escalation point for technical troubleshooting of enterprise integrations.
• Cross-functional Collaboration & Ecosystem Enablement
• 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.
• Partner with the Project Manager, Data Governance, and AI committees to influence sprint planning, technical prioritization, and backlog grooming.
• Review and approve integration designs proposed by internal departments to align integrations with business requirements and adherence to architectural standards.
• Support adoption of AI by ensuring integrations are user-friendly, reliable, and clearly documented for stakeholders.
• Strategy & Thought Leadership
• Contribute to the roadmap for enterprise AI,data integrations, and enterprise systems ensuring alignment with organizational goals.
• Identify emerging technologies and best practices for AI-to-enterprise integration.
• Establish integration lifecycle best practices, including testing, monitoring, and version control.
• Recommend improvements to the enterprise architecture that accelerate AI adoption and support long-term scalability.
• Serve as a thought partner to the Vice President of AI Operations and Sr. Manager of Business Technology on integration opportunities.
• Other duties as assigned

• 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.

• Experience with SaaS enterprise applications (Salesforce, Intacct etc.).
• Familiarity with AI orchestration tools and multi-agent frameworks.
• Bachelor's or Master's degree in Information Systems, Computer Science, or related technical field.
• Demonstrated ability to balance architectural vision with hands-on execution in fast-paced environments.
• Experience working in hybrid IT/AI environments bridging operations, governance, and engineering.

Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All employment decisions at Agiloft are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, national or social ethnic origin, sex, age, sexual orientation, gender identity and/or expression, parental status, marital status, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. If you have a need that requires accommodation during the recruiting process, please let us know by contacting Director, Talent Acquisition, Brad Toothman at

Applicants from underrepresented groups such as minorities, veterans, or individuals with disabilities encouraged to apply.

Applications will be reviewed as submitted. There will be no application deadline for this opportunity.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.