AI Data Architect

ob 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/Google Cloud Platform) 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