Technical Architect Lead II (Application)

V R Della Infotech•Auburn Hills, MI

5d•Onsite

About The Position

The Technical Architect Lead II (Application) is a senior data and AI architecture role responsible for defining end-to-end architectures for AI-powered data solutions, including intelligent agents, automation workflows, and multi-agent ecosystems across enterprise platforms. The role translates business requirements and operational workflows into scalable architectures for data, AI, integrations, security, deployment, and operations. The architect provides technical leadership across Architecture, Engineering, Security, Data, and Operations teams; establishes standards, governance frameworks, and reusable patterns; and defines security and responsible AI controls. The position also develops enterprise data architecture, integration strategies, canonical data models, API standards, knowledge-management frameworks, and approaches such as RAG for secure access to structured and unstructured enterprise data. This is an onsite, six-month contract-to-hire position in Auburn Hills, Michigan, limited to local candidates. The role calls for experience delivering application development projects and deployments for globally distributed customers, working across parallel projects and iterative, agile, and waterfall approaches, and contributing to both business transformation and information technology projects.

Requirements

10+ years of experience in solution, enterprise, cloud, or data integration architecture.
Strong cloud architecture experience with AWS, Azure, or GCP.
Experience integrating enterprise platforms such as CRM, ERP, or ITSM systems, or similar platforms.
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 with application-development project implementation and deployment strategies for a customer base distributed throughout the world.
Experience working in highly parallel environments on projects using iterative, agile, and waterfall approaches.
Experience in both business transformation and information technology projects.
Technical knowledge and hands-on experience managing application development.
Strong verbal and written communication skills, including the 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.
Local candidates only; the position is onsite in Auburn Hills, Michigan.

Responsibilities

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, including 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, including authentication, authorization, identity propagation, and governance controls across 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 that enable secure access to structured and unstructured enterprise data.
Drive data privacy, integration, and management practices to provide seamless, governed accessibility across platforms.
Translate business objectives into scalable technical architecture and implementation roadmaps.
Apply effective application-development project implementation and deployment strategies for a globally distributed customer base.
Manage application-development work and collaborate across highly parallel projects using iterative, agile, and waterfall approaches.