Enterprise Integration AI Architect

Chicago, United States | Posted on 10/23/2026

BBI is a global data engineering consulting firm that empowers clients to effectively scale and modernize. We combine engineering fundamentals and innovative tools to execute business-critical, end-to-end projects on-time and on-budget. We offer expert services across Data Integration, Data Modernization, Data Migration, Data Architecture, Platform Support, and Application Services. Our goal is to provide business value in the most effective way for our clients so clients can focus on growth.

Weare seeking an Enterprise Integration & AI Platform Architect to lead the architecture, design, and delivery of two interconnected platforms for a Wealth Management client which involves an IPaaS, cloud native, event driven integration platform on Azure connecting Salesforce, Orion, Addepar, Schwab,and Fidelity; and the AIA Workbench, an AI driven / designed data intelligence platform built on Snowflake with an inference and recommendation engine.

Thisrole requires someone who can combine cloud platform architecture with AIsystem design, translate complex integration and data requirements intoscalable production systems, and lead both technical delivery and stakeholder engagement across engineering and business teams.

• Design and govern theend-to-end iPaaS architecture on Azure — Logic Apps, Event Grid, Service Bus,Azure Container Apps, AKS with KEDA — ensuring consistency and scalability across ingestion, processing, and delivery layers.
• Architect event-driven integration patterns including publish/subscribe, dead-letter processing,replay mechanisms, correlation-based tracing, and idempotency guards.
• Design Azure API Management(APIM) as the centralized API gateway with rate limiting, circuit breaker patterns, and API lifecycle governance.
• Design integration patterns for Salesforce, Orion, Addepar, Schwab, and Fidelity, and build metadata-driven routing and transformation frameworks.
• Architect the AIAWorkbench, an AI-powered source-to-target mapping platform with natural language query generation and reverse-engineering capabilities.
• Design the FIR system(Feedback, Inference, Recommendation) — a self-improving AI loop that captures user corrections, infers patterns from data, and generates increasingly accurate recommendations.
• Define the Inference Engine's core questions for evaluating table and attribute identity,criticality, relationships, and usage patterns.
• Architect the Snowflake semantic layer and Cortex RAG memory engine, and design agent orchestration with tool and agent registries.

• Establish data and platform governance standards including metadata management, observability, and audittrail strategies across Cosmos DB and the integration layer.
• Define API security standards — OAuth2, JWT, mTLS, Managed Identity, Azure Key Vault — and enforce encryption, RBAC, and PII/PHI handling policies.
• Ensure architecture decisions comply with relevant regulatory and enterprise security requirements for financial services data.
• Lead architecture workshops, design reviews, and whiteboarding sessions with client and engineering teams, producing documentation consumable by both technical and business stakeholders.
• Define technology roadmaps,SoW phase structures, effort estimates, and delivery scheduling.
• Mentor engineering teams (3backend, 2 frontend) and review solution designs, establishing a culture ofdesign rigor and platform thinking.
• Present architecture decisions and program updates to executive stakeholders.

• Bachelor's or Master'sdegree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of progressive experience in Enterprise Architecture, Solution…