Data & AI Architect

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