Solution Architect Data and AI

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As a Data & AI Solution Architect, you will provide strategic technical leadership in the design, evolution, and governance of enterprise-wide Artificial Intelligence, Data Engineering, Analytics, and Data Platform solutions. This senior role influences long-term technology direction, ensures architectural coherence across the organization, and drives adoption of scalable, secure, and innovative data and AI capabilities. You will be responsible for the translation of business strategies and requirements into specific technical solutions, applications and process designs. You play an integral role in the solution definition and you assume the overall responsibility for all technical aspects of solution delivery, from inception through design to implementation (including all solution aspects related to development, infrastructure, data and configuration management perspectives).

• Define and evolve enterprise architecture standards, reference architectures, and patterns for AI, Data, Operational Analytics, and cloud-native platforms.

• Lead enterprise-scale solution design, ensuring alignment with business strategy, technology roadmaps, and regulatory requirements.

• Oversee end-to-end solution architecture for complex programs, guiding teams through inception, conceptual architecture, detailed design, and implementation.

• Define and govern enterprise BI and analytics consumption architecture, including semantic layers, metrics frameworks, and reporting patterns to ensure consistency, scalability, and reuse across business domains.

• Serve as a senior technical advisor to executives, product owners, and engineering leaders.

• Lead evaluation and selection of emerging technologies, platforms, and tools across LLMs, Agentic AI, AI/ML/Optimization, Data Engineering, BI, LLMOps/MLOps, and DataOps.

• Provide advanced architectural oversight for data platforms such as Data Lakes, EDW, ODS, streaming architectures, and event-driven systems.

• Design scalable enterprise data models and AI solution frameworks that support predictive analytics, real-time intelligence, and automation.

• Establish architecture governance processes including technical review boards, design approvals, and compliance validation.

• Mentor solution architects, data engineers, and AI practitioners; elevate architectural maturity across teams.

• Drive modernization initiatives including migration to cloud-native platforms, container orchestration