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AI/Data architect

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Onsite

AI/Data architect

IMR Soft LLC

AI/Data architect

Skills

Google Cloud PlatformKnowledge ManagementExpressAIAWSCRMComplianceBusiness TransformationAzure

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

Auburn Hills, MI, USA

Work mode:

Onsite

Published on:

4 October 2026

What they need


Technical Architect Lead II (Application) - AI/Data architect Auburn Hills, MI 3 months contract to hire Job Requirements Senior Data & AI Solutions Architect

  • Define end-to-end architecture for AI-powered data solutions, including intelligent agents, automation workflows, and multi-agent ecosystems across enterprise platforms.
  • Define collaboration frameworks supporting sequential, parallel, event-driven, conditional, and human-in-the-loop interactions.
  • Translate business requirements and operational workflows into scalable data and AI solutions, integration, security, deployment, and operational architectures.
  • Provide technical leadership across Architecture, Engineering, Security, Data, and Operations teams, establishing standards, governance frameworks, and reusable patterns.
  • Define security architecture — authentication, authorization, identity propagation, and governance controls across all interaction layers.
  • Establish responsible AI guardrails covering data privacy, prompt security, model safety, compliance, and human approval workflows.
  • Define enterprise data architecture, integration strategies, canonical data models, API standards, and knowledge management frameworks.
  • Define RAG or comparable approaches enabling secure access to structured and unstructured enterprise data.
  • Drive data privacy, integration, and management practices for seamless, governed accessibility across platforms.

Technical Experience "

  • 10+ years in Solution, Enterprise, Cloud, or Data Integration Architecture.
  • Strong cloud architecture experience (AWS/Azure/GCP) and experience integrating enterprise platforms (CRM, ERP, ITSM, or similar).
  • Experience with data structures, enterprise tools, cloud hyperscalers and platforms leveraging AI for data management and governance.
  • Strong understanding of Agentic AI, Conversational AI, Generative AI, and multi-agent architectures.
  • Deep knowledge of APIs, event-driven architecture, identity protocols, canonical data models, security, and observability.
  • Ability to translate business objectives into scalable technical architecture and implementation roadmaps.
  • Strong stakeholder management, documentation, and executive communication skills.
  • Experience in Effective Application Development Project Implementation / Deployment strategies with a customer base distributed throughout the world.
  • Experience in highly parallel work environments with projects utilizing iterative, agile, and waterfall approaches to achieve their objectives.
  • Experience in both business transformation and information technology projects is required."

Skills Unique Skills ". Technical knowledge with hands-on experience, managing application development

  • Strong verbal and written communications skills, with an ability to express complex technical concepts in business terms
  • Strong analytical, problem-solving, and conceptual skills
  • Strong interpersonal skills; ability to communicate and persuade at all management levels and thrive in a cross-functional environment"

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