Sr. Data & AI Architect

VDart Inc; Auburn Hills (MI); Hybrid; USD 150,000 - 190,000; Part time

Job summary

VDart Inc. seeks a Sr. Data & AI Architect for a contract role in Auburn Hills, MI, hybrid work arrangement. You will define end-to-end architecture for AI-powered data solutions across enterprise platforms and lead cross-functional teams in Architecture, Security, Data, and Operations.

You will establish governance, security, and responsible AI guardrails, specify canonical data models, API standards, and multi-agent ecosystems, and translate business needs into scalable technical roadmaps.

Qualifications

• 10+ years in Solution, Enterprise, Cloud, or Data Integration Architecture.
• Experience with AWS/Azure/GCP and integrating enterprise platforms.
• Strong knowledge of Agentic AI, APIs, event-driven architectures, security, and observability.

Responsibilities

• Define end-to-end architecture for AI-powered data solutions across enterprise platforms.
• Define collaboration frameworks supporting sequential, parallel, event-driven, conditional, and human-in-the-loop interactions.
• Translate business requirements and workflows into scalable data and AI architectures and roadmaps.
• Provide technical leadership across Architecture, Engineering, Security, Data, and Operations teams with governance standards.
• Define security architecture across all interaction layers and governance controls.
• Establish responsible AI guardrails covering data privacy, prompt security, model safety, compliance, and human approval workflows.
• Define enterprise data architecture, canonical models, API standards, and knowledge management frameworks.
• Define RAG or similar approaches enabling secure access to structured and unstructured data.
• Drive data privacy, integration, and management practices for governed accessibility across platforms.

Skills

Cloud architecture

Agentic AI

APIs

Event-driven architecture

Security

Governance

Executive communication

Stakeholder management

Documentation

Multi-agent architectures

Data integration

Job description

Title: Sr. Data & AI Architect

Locations: Auburn Hills, Michigan (Hybrid)

Type: Contract

Job Requirements:

• 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

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