Senior Data & AI Solutions Architect

C-Vision Inc.

  • Auburn Hills, MI
  • Today

    Highlights

    Define end-to-end architecture for AI-powered data solutions, including intelligent agents, automation workflows, and multi-agent ecosystems across enterprise platforms. Strong cloud architecture experience (AWS/Azure/GCP) and experience integrating enterprise platforms (CRM, ERP, ITSM, or similar).

    Numbers & Facts

    LocationAuburn Hills, MI

    Description

    Job Title: - Senior Data & AI Solutions Architect
    Location: - Auburn Hills, MI (Hybrid)
    Contract (W2)

    Description:

    • 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.
    • 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.
    • 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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