Thought Frameworks - Data Integration & AI Governance Architect

Job Role : Data, Integrations & AI Governance Architect Key Responsibilities

• Experience in Manufacturing, Retail, Supply Chain industry leading architecture for complex enterprise and AI initiatives translating ambiguous business problems into clear architectural options and trade-offs driving alignment across stakeholders on solution direction and constraints
• Experience in utilizing EA Tools like LeanIX, Sparx, Orbus, Ardoq or any other similar platform/tools to enable and guide the design that meet current and future needs
• Platform Governance Integration : Implement access controls, data protection rules, Integrate governance metadata, governance platforms, enforcement of data access controls, privacy classifications, and data retention policies within data platforms.
• Provides technical direction and design authority across enterprise applications supporting trusted and AI-ready data products, that ensure governance is defined, supported by technology, and enforced across the enterprise data and AI platform
• Integration & Automation : Understanding of integration patterns including APIs, service architectures, and event driven systems. Proficiency in Python for integration and automation engineering
• Cloud Data Platform Architecture : Strong working knowledge of AWS data services, Databricks with experience implementing governance enforcement using platform native controls
• Architecture & Delivery Leadership : Architecture design experience defining and implementing high level integration patterns (e.g., Hub and Spoke, PeertoPeer, Data Federation)
• AI Architecture & Risk Governance : Lead evaluation of AI/LLM-based solutions across the organization enforcing enterprise guardrails for AI adoption and assess risks related to Data exposure, Prompt injection and model behavior, External dependencies and token/security models

Qualifications & Experience

• Bachelors degree in computer science, IT Engineering, Information Technology, or related field
• 15+ years of experience in engineering and/or manufacturing system architecture with expertise in ERP systems and processes.
• Experience supporting analytics and AI workloads in cloud data platforms
• Strong knowledge of API design patterns (REST, GraphQL, gRPC) and API management platforms (AWS API Gateway, Apigee, MuleSoft, or equivalent)
• Experience with event driven architecture and message streaming platforms (Apache Kafka, Amazon MSK, EventBridge, SQS/SNS)
• Experience designing integration solutions for AI/ML platforms or agentic architectures, including LLM API patterns and MCP based agent tooling
• Familiarity with emerging AI and agent integration patterns
• Working knowledge of AI assisted software development tools (GitHub Copilot, Claude, or equivalent)
• Deep understanding of enterprise data models, master data governance, systems integration principles and technologies in manufacturing processes.
• Strong analytical and conceptual skills; ability to create original concepts and theories for a variety of projects
• Strong business acumen of Salesforce technologies, ERP, Supply chain, Finance & Treasury, ERP systems and processes, such as EBS Oracle, JDE, EFACS, SAGE, IFS to mention a few.
• Ability to communicate, influence and persuade both business and IT leaders, stakeholders, and peers.

(ref:hirist.tech)