📋 Description

• Design, build, and orchestrate agentic AI workflows, generative AI applications, LLM-based
• Translate business objectives and user needs into structured product backlogs, user stories
• Take ownership of Data & AI initiatives from strategic definition through architecture
• Design modular, scalable, and reusable Data and AI components that can be applied across complex
• Apply strong data stewardship practices covering data quality, lifecycle management, privacy
• Bridge business and technical requirements by collaborating closely with stakeholders, project

🎯 Requirements

• 5+ years of professional experience in Data Science, Machine Learning, AI Architecture, or a
• Strong foundations in statistics, mathematics, machine learning, and modern cloud-native data
• Proven experience designing, building, or orchestrating agentic AI systems, generative AI
• Strong product ownership mindset, with the ability to translate business requirements into product
• Deep understanding of data quality, data lifecycle management, privacy, governance, and data
• Ability to architect modular, scalable, reusable Data & AI components across complex enterprise

🎁 Benefits

• Work Flexibility: Remote work opportunity.
• Professional Impact: Contribute to large-scale Data & AI transformation initiatives and help
• Technical Innovation: Work with generative AI, agentic systems, LLM applications, cloud-native data
• Leadership Opportunities: Serve as a technical advisor and influence architecture, product
• Global Collaboration: Work with diverse, multicultural stakeholders across complex enterprise
• Career Growth: Expand expertise across data science, AI architecture, product ownership