Data & AI Architect

Apexon; Auburn Hills (MI); On-site; USD 150,000 - 210,000; Full time

Job summary

Apexon is seeking an experienced Architect to lead the design of AI-powered data solutions across enterprise platforms. You will define end-to-end architectures, collaboration models, and governance standards while coordinating Architecture, Engineering, Security, Data, and Operations teams.

The role requires translating complex business requirements into scalable technical roadmaps, ensuring secure data access, privacy, and responsible AI guardrails across multi-cloud environments.

Qualifications

• 10+ years in Solution, Enterprise, Cloud, or Data Integration Architecture.
• Strong cloud architecture experience across AWS/Azure/GCP.
• Experience with AI-enabled data governance and enterprise platforms.
• Expertise in agentic and conversational AI architectures.
• Ability to translate business requirements into scalable architectures.
• Excellent stakeholder and executive communication.

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.
• Provide technical leadership across Architecture, Engineering, Security, Data, and Operations teams with governance patterns.
• Define security architecture — authentication, authorization, and identity propagation across layers.
• Establish responsible AI guardrails covering data privacy, prompt security, model safety, and human approval workflows.
• Define enterprise data architecture, integration strategies, and API standards.
• Define RAG approaches enabling secure access to structured and unstructured data.
• Drive data privacy, integration, and management practices across platforms.

Skills

Solution architecture

Cloud architecture

Agentic AI

Multi-agent systems

APIs & event-driven

Security governance

Stakeholder mgmt

Executive communication

Business requirements translation

Tools

AWS

Azure

GCP

CRM/ERP integration

Security protocols

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.

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.
• 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