Job Description

Roles & Responsibilities

Design end-to-end technical solutions for AI use cases ensuring alignment with Group reference architecture

Conduct architecture reviews and provide design guidance to delivery teams and OpCo technical staff

Resolve complex technical dependencies across enterprise systems, data sources, and platforms

Ensure OpCo AI implementations comply with Group architecture standards or have documented exceptions

Partner with Director, Tech & Platforms on reference architecture definition and evolution

Define integration patterns for AI systems with enterprise platforms (CRM, BSS/OSS, data platforms)

Support platform evaluation and vendor selection with technical due diligence and architecture assessment

Create architecture blueprints, design patterns, and technical reference materials for reuse

Serve as technical escalation point for delivery teams on complex architecture challenges

Engage with OpCo architects and technical leads to drive architecture alignment and knowledge sharing

KPIs include but are not limited to:

Architecture compliance: percentage of solutions compliant with reference architecture

Design quality: solution architecture quality as measured by peer reviews and production issues

Reusability: number of reusable patterns and accelerators created and adopted

OpCo alignment: percentage of OpCos aligned to Group architecture standards

Technical escalation resolution: time to resolve complex architecture issues

Desired Candidate Profile

Educational Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.

Experience: 10+ years in technology roles with 5+ years in solution architecture or enterprise architecture. Experience designing AI/ML solutions, enterprise integrations, and cloud architectures. Background in telecom BSS/OSS systems or complex regulated industries valuable.

Knowledge: Deep understanding of AI/ML architectures (GenAI, traditional ML, automation), enterprise integration patterns, cloud platforms, and data architectures. Experience with architecture frameworks (TOGAF, Zachman) and governance. Strong communication skills to explain complex technical concepts to diverse audiences.