Data Science Lead

Posted: 2026-10-08

Architect

Job requirements Experience Range: With at least 7 to 10 years of experience in AI, advanced analytics, cloud platforms, and solution architecture, including demonstrated expertise in translating business requirements into scalable, secure, production-ready AI solutions Key Responsibilities:

- Architect and deliver enterprise AI platforms and advanced analytics solutions that align with business objectives and drive measurable outcomes

- Translate complex business use cases into scalable AI, analytics, and technology architectures leveraging modern cloud and AI capabilities

- Design and implement AI solutions utilizing Azure Foundry, Azure AI services, and cloud-native technologies to ensure scalability, security, and production readiness

- Define architecture patterns and frameworks for Generative AI, machine learning, advanced analytics, and intelligent applications

- Collaborate with business, data, engineering, and platform teams to drive AI initiatives from ideation through implementation

- Establish standards and best practices for AI platform engineering, integration, governance, security, and operationalization

- Evaluate emerging AI platform capabilities and technologies to identify opportunities for improving business outcomes

- Provide architectural guidance to delivery teams and stakeholders to ensure AI investments are aligned with enterprise priorities

- Microsoft Azure AI technologies, including Azure Foundry and Azure AI services

- Designing scalable, secure, and production-ready AI and analytics solutions

- Generative AI, machine learning, and advanced analytics architectures

- Enterprise cloud platforms and data platform engineering

- API design, integration patterns, and modern AI solution architectures

- AI governance, security, responsible AI, and operationalization best practices

- MLOps and AI platform automation

- Leading enterprise AI transformation and platform modernization initiatives