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The Data/AI Architect role involves designing scalable and secure data and AI architectures aligned with business objectives. The candidate will translate business challenges into data solutions, guide AI/ML deployments, and ensure seamless integration with existing infrastructures. Strong expertise in cloud platforms like Azure, AWS, and GCP is essential.
Requirements:
Design end-to-end data and AI architectures that are scalable, secure, and aligned to business objectives
Create technical blueprints for AI-driven solutions, including data platforms, pipelines, models, and integrations with enterprise systems
Define target-state architectures across cloud platforms (Azure, AWS, GCP), data lakes, databases, and AI services
Translate business challenges and outcomes into data and AI solution designs
Advise clients and internal stakeholders on technology choices, architectural tradeoffs, and industry best practices
Evaluate the business value, feasibility, and ROI of proposed AI and data initiatives
Architect and guide the deployment of AI/ML and generative AI solutions, ensuring performance, reliability, and scalability
Oversee model lifecycle considerations, including evaluation, optimization, and integration into production environments
Stay current on emerging AI techniques and platforms to continuously improve solution design
Define and govern data platform architectures, including ingestion, transformation, storage, and consumption layers
Ensure seamless integration with existing enterprise infrastructure, applications, and data sources