What are the responsibilities and job description for the Technical Architect Lead II / AI Data architect - Auburn Hills, MI position at Gandiva Insights?
Role: Technical Architect Lead II (Application) - AI/Data architect
Location: Auburn Hills, MI - Onsite (Need Local only)
Experience level"12
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.