AI Solutions Architect – Enterprise Back-End Systems

AI Solutions Architect

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About the Role

We are looking for an AI Solutions Architect to lead the governance, design, and delivery of intelligent automation and AI-driven capabilities across our enterprise back-end ecosystem — including CRM, ERP, and iPaaS platforms.

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Required

• 10+ years of experience in enterprise solutions architecture, systems integration, or a related discipline.
• Demonstrated experience with all the following platform categories:
  • CRM: Salesforce, HubSpot, Dynamics 365
  • ERP: SAP S/4HANA, Oracle, NetSuite
  • iPaaS: MuleSoft, Boomi, Workato, Azure Integration Services
• Hands-on experience designing or deploying AI/ML features in production enterprise environments — including at least one of: agentic AI systems, LLM-powered workflows, predictive analytics, or intelligent document processing.
• Strong command of integration patterns: REST/GraphQL APIs, event streaming, ETL/ELT pipelines, and webhook-based automation.
• Ability to communicate technical architecture clearly to both executive sponsors and engineering teams.
• Stellar ability to manage your work in an integrated manner aligned to the Enterprise Technology operating model.

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Preferred

• Experience with vector databases, RAG (retrieval-augmented generation) architectures, or fine-tuning workflows in an enterprise data context.
• Working knowledge of AI governance frameworks (e.g., NIST AI RMF, EU AI Act considerations), privacy controls, and secure SDLC practices.
• Relevant certifications in cloud platforms (AWS, Azure, GCP) or enterprise platforms (Salesforce, NetSuite, Workato).
• Background in a regulated industry such as financial services, healthcare, or manufacturing.