Job Description
A large retail company is seeking an experienced AI Solutions Architect - Accounting & Finance to join the AI Center of Excellence (AI CoE). This specialized architect will focus on designing and governing AI solutions across all accounting, finance, and financially-integrated systems.
Because every business process at this company has a financial impact, this role is critical in ensuring that AI initiatives properly handle financial data flows, maintain reconciliation integrity, and seamlessly integrate with core finance and ERP systems. The architect will act as the technical leader responsible for mapping how AI-powered applications interact with financial processes, ensuring every monetary entry, adjustment, or transaction ultimately flows back to the finance system with full auditability and control.
The AI Solutions Architect - Accounting & Finance will translate complex finance and accounting requirements into scalable, secure, and compliant AI architectures while maintaining visibility across all financially relevant AI initiatives.
Key Responsibilities
AI Architecture & Governance for Finance & Accounting
Design and oversee AI solutions specifically for accounting, finance, FP&A, revenue recognition, payables, receivables, treasury, and dealership financial operations.
Ensure every AI-enabled system or process that touches financial data maintains proper inbound/outbound data flows and ultimately reconciles back to the core finance/ERP system.
Establish architecture standards and best practices for financial AI use cases, with strong emphasis on data integrity, auditability, reconciliation, and financial controls.
Conduct architecture reviews for all AI initiatives that have a financial component to validate accuracy, compliance, security, and integration quality.
Process Flow & Integration Architecture
Own the end-to-end process flow mapping for financially impacted systems - documenting where data enters and exits, how it moves between operational systems, AI applications, and the central finance platform.
Design robust integration patterns that guarantee all financial entries, journal entries, adjustments, and transactions are properly captured and returned to the finance system.
Build and maintain a comprehensive integration map covering AI systems, ERP, Salesforce, Snowflake, and other enterprise platforms.
Define standardized data contracts, event-driven patterns, and synchronization strategies for financial data movement.
Documentation & Initiative Tracking
Maintain a living catalog of all AI initiatives with financial impact, including data flows, integration points, financial touchpoints, and reconciliation requirements.
Produce detailed Technical Requirements Documents (TRDs), architecture diagrams, data flow diagrams, and financial process maps for each initiative.
Document reusable architecture patterns for common finance & accounting AI scenarios (e.g., invoice processing, revenue forecasting, anomaly detection, automated reconciliations).
Stakeholder Engagement & Solution Design
Partner closely with the CFO, Controller, FP&A, Accounting, and IT leadership to identify high-value AI opportunities in finance and accounting.
Translate complex financial and accounting requirements into technical architectures that balance innovation with compliance and control.
Present solution recommendations and trade-offs to senior finance and technology leadership.
Facilitate cross-functional workshops between finance, operations, and engineering teams.
Technology Strategy & Innovation
Evaluate and recommend AI/ML technologies best suited for finance use cases (forecasting, anomaly detection, document processing, agentic workflows, etc.).
Ensure AI agents and solutions interacting with financial data follow strict governance, security, and explainability standards.
Collaborate with the broader AI CoE, Agent Development, and Platform teams to maintain consistency while addressing finance-specific needs.
pay rate: $80-110/hour
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
8+ years of experience in solutions architecture, enterprise architecture, or senior technical roles with a strong focus on finance and accounting systems.
Deep understanding of accounting and finance processes, financial data models, ERP systems, general ledger, reconciliations, and financial controls.
Proven experience designing AI/ML solutions in complex enterprise environments, particularly those involving financial data and regulatory compliance.
Strong expertise in data integration, process mapping, and system interoperability (Salesforce, Snowflake, ERP platforms).
Excellent documentation skills - ability to create clear architecture diagrams, data flows, and technical specifications.
Strong communication and stakeholder management skills, especially with finance and accounting leadership.
Hybrid work flexibility - 3 days in Lincolnshire office required Hands-on experience with Google Cloud Vertex AI, Gemini, LangChain, or other enterprise AI platforms.
Background in retail, automotive, or RV dealership finance systems.
Experience with financial systems (NetSuite, SAP, Oracle Financials, etc.) and their integration patterns.
Knowledge of AI agent frameworks and multi-agent orchestration for finance workflows.
Familiarity with CI/CD (Harness), observability (Dynatrace), and infrastructure-as-code.
Understanding of AI security, prompt injection prevention, responsible AI, and financial regulatory considerations (SOX, etc.).
Professional certifications (CPA, CFA, GCP Professional Cloud Architect, etc.) are a plus.
