Data and Infrastructure Architect

• Responsible for designing, building, and managing the enterprise data ecosystem and AI infrastructure together with cross functional teams.
• Drive overall solution architecture design, ensuring alignment with business goals and technology standards.
• Oversee the design and implementation of data systems to support business intelligence, analytics, and AI initiatives.
• Architect and manage on-premise/cloud platforms to enable AI workloads, integrations, and advanced data processing.
• Lead teams in design, implementation and delivery of enterprise solutions, fostering technical excellence and collaboration.
• Partner with internal stakeholders and external vendors to evaluate technologies, select solutions, and ensure successful project execution and delivery.

Skills for Success:

• Degree in Computer Science, Engineering or related discipline.
• >8 years in systems software development and solution architecture.
• Experience in end-to-end integrated Data, IoT and AI pipelines, as well as MLOps, DataOps and its related technologies.
• Proficient in AI infra systems and automation.
• Knowledge in AI development, deployment and its data orchestration, processing and lifecycle.
• Proficient in data and AI infrastructure tuning and performance optimization including networking, storage and compute.
• Strong leadership and business acumen with excellent communication and presentation skills.
• Self-motivated problem solver and collaborative team player committed to continuous learning.