Enterprise Integration AI Architect

🕒 September 1

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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BBI

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

💼 Consulting

🏥 Healthcare

🍽️ Food & Beverage

Consulting • Healthcare • Food & Beverage

BBI is an award-winning global data and AI consultancy that engineers the data foundations powering enterprise analytics and AI. Headquartered in Schaumburg, Illinois, and operating with 600+ data professionals across the United States, Canada, and India, BBI delivers services including data integration, cloud migration, AI activation, platform operations, and data governance to large enterprises. The firm emphasizes senior engineers staying closely involved from day one, fast delivery with AI-driven accelerators, and building trusted, traceable, production-ready data and AI solutions for B2B clients in regulated industries such as financial services.

📋 Description

• Design and govern the end-to-end iPaaS architecture on Azure using Logic Apps, Event Grid, Service Bus, Azure Container Apps, and AKS with KEDA. • Architect event-driven integration patterns including publish/subscribe, dead-letter processing, replay mechanisms, correlation-based tracing, and idempotency guards. • Design Azure API Management 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 AIA Workbench, 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 audit trail strategies across Cosmos DB and the integration layer. • Define API security standards 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 for technical and business stakeholders. • Define technology roadmaps, SoW phase structures, effort estimates, and delivery scheduling. • Mentor engineering teams and review solution designs, establishing a culture of design rigor and platform thinking. • Present architecture decisions and program updates to executive stakeholders.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field. • 10+ years of progressive experience in Enterprise Architecture, Solution Architecture, or Cloud Platform Architecture. • 5+ years designing and delivering Azure-based cloud-native integration or data platforms — not just consuming them. • Hands-on experience building AI/ML-powered tools or platforms, including LLM orchestration or RAG-based systems. • Strong proficiency in Python, including production experience with structured logging, decorators, and service-oriented design. • Experience with financial services, wealth management, or other regulated industries. • Strong written and verbal communication skills; ability to produce architecture documents, low-level designs, and SoWs, and present to executive stakeholders. • Microsoft Certified: Azure Solutions Architect Expert, or equivalent (preferred). • Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) (preferred). • SnowPro Core Certification or hands-on experience with Snowflake Cortex (preferred). • Experience with Salesforce Platform Events and Apex integrations (preferred). • Background in data migration, ETL, or mapping platform design (preferred). • Familiarity with TOGAF or equivalent enterprise architecture frameworks (preferred). • Excellent facilitation skills; track record of influencing cross-functional teams in complex, matrixed organizations (preferred).

🏖️ Benefits

• Health Insurance • Dental • Vision • 401K