Data and AI Architect

About the Role

We are seeking a seasoned Data and AI Architect to spearhead the design and enhancement of enterprise-level data architecture while embedding AI and MLOps functionalities. The position entails fostering trusted analytical processes, scalable AI model deployments, and robust governance frameworks for organizational data assets.

Main Responsibilities

• Direct the creation and continual improvement of enterprise-wide data architecture, integrating AI and machine learning operations.
• Architect highly scalable and resilient data frameworks that accommodate analytics, AI workloads, and business needs.
• Promote the reliable and effective utilization of enterprise data for analytical and AI-driven solutions.
• Develop and sustain comprehensive data governance policies and architectural practices organization-wide.
• Facilitate the broad deployment and seamless assimilation of AI solutions within business systems.
• Partner with cross-functional teams including business stakeholders, IT, data science, and AI specialists to ensure architectural alignment with corporate goals.

Required Qualifications

• A bachelor's degree in Computer Engineering or a related field.
• Extensive professional experience exceeding 15 years in aspects such as data architecture, enterprise frameworks, or AI disciplines.
• Proven expertise in enterprise data architecture, as well as implementing effective data governance models.
• In-depth understanding of AI architectures and MLOps methodologies and their integration within enterprise data infrastructures.
• Demonstrated ability to design scalable enterprise-grade data and AI solutions.
• Excellent communication skills, coupled with capabilities in stakeholder engagement and technical leadership.