Senior Data & AI Solutions Architect

Cbase Inc.; Auburn Hills (MI); On-site; USD 140,000 - 190,000; Full time

Job summary

Cbase Inc. in Auburn Hills, MI is seeking a Senior Data & AI Solutions Architect to design end-to-end AI-powered data architectures across enterprise platforms. Immediate start, locals only, contract W2 basis.

You will lead Architecture, Engineering, Security, Data, and Operations teams, establishing standards, governance, and reusable patterns while ensuring secure, compliant, and scalable solutions using cloud platforms (AWS/Azure/GCP).

Qualifications

• 10+ years in solution, enterprise, cloud, or data integration architecture.
• Strong cloud architecture experience across AWS/Azure/GCP.
• Experience integrating enterprise platforms (CRM, ERP, ITSM, or similar).

Responsibilities

• Define end-to-end architecture for AI-powered data solutions and multi-agent ecosystems across enterprise platforms.
• Provide technical leadership across Architecture, Engineering, Security, Data, and Operations teams; establish standards and governance.
• Define security architecture, governance controls, and responsible AI guardrails across interaction layers.

Skills

Cloud architecture

Enterprise data integration

Agentic AI / Generative AI

APIs & event-driven design

Security architecture

Governance & compliance

Stakeholder management

Roadmapping & governance

Tools

AWS

Azure

GCP

Job description

Job Title: Senior Data & AI Solutions Architect

Location: Auburn Hills, MI - Need Only Locals

Start Date: IMMEDIATELY

Need GC and USC - Only Contract W2

Job 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