Expert Data & AI – Architecture & Delivery Lead

About the role

The Expert Data & AI will lead architecture, design and delivery for the growing Data and AI portfolio within Finance Transformation. You will turn business opportunities into secure, scalable, reusable solutions, focusing on enterprise AI applications and guiding initiatives from concept to company‑wide adoption.

Key responsibilities

• Design end‑to‑end architectures for AI, generative AI, analytics and data applications.
• Translate use cases into solution components, data needs, integrations and delivery plans.
• Define reusable patterns for model orchestration, APIs and observability.
• Evaluate technology and model options for quality, scalability, cost and operational fit.
• Guide initiatives through prototyping, evaluation, deployment and continuous improvement.
• Assess data availability, quality, lineage and access for priority use cases.
• Define fit‑for‑purpose data models, pipelines, interfaces and metadata requirements.
• Structure AI Associates assignments, review checkpoints and delivery cadence.
• Provide architecture guidance, technical coaching, quality review and escalation support.

Required profile

• Graduate degree in Computer Science, Data Science, AI, Software Engineering, Information Systems or a related discipline.
• Relevant experience with data platforms, analytics, machine‑learning or generative‑AI solutions.
• Practical exposure to cloud architecture, APIs, data engineering and enterprise delivery.

Required skills

• Solution architecture
• Generative AI and LLM concepts
• Retrieval‑based AI solutions
• Cloud architecture
• API design and integration
• Data engineering
• Model orchestration and evaluation
• Observability and monitoring
• Responsible AI practices
• Data governance
• Information‑security principles

What we offer

• Opportunity to shape enterprise AI strategy within a leading telecom company.
• Collaborative environment that values diversity and inclusion.
• Access to cutting‑edge AI tools and platforms.