Enterprise Architect

ABOUT iBASIS:

iBASIS is the leading communication solutions provider enabling operators and digital players worldwide to perform and transform. iBASIS is the first independent international communications specialist, ranking as the third largest global wholesale voice operator and a Top 3 Mobile Signaling & Data solutions vendor with 700+ connected destinations.

Since the integration of the Altice Europe N.V. international voice carrier business in France, Portugal, and the Dominican Republic, iBASIS serves 1,000+ customers, across 18 offices worldwide. iBASIS also provides the end-to-end Global Access for Things connectivity solution; simplifying IoT device connection through one unified platform for seamless, remote, programmable, and secure communication.

THE ROLE:

Lead the architectural vision and governance for the full iBASIS IT/IS ecosystem. Ensure all systems are secure, scalable, interoperable, and aligned to business strategy. Provide end-to-end architectural oversight for major initiatives and drive modernization, standardization, and documentation excellence.

RESPONSIBILITIES:

1. Enterprise Architecture & Governance

• Define and maintain the end-to-end architecture blueprint across voice, messaging, billing/BSS, SAP/Finance, reporting, infrastructure, web applications, and integrations.
• Chair the Architecture & IT Design Board reviewing new solutions, changes, and technology decisions for compliance with standards, patterns, and security.
• Establish and maintain reference architectures, design principles, reusable patterns, and technology standards.
• Provide architectural oversight for all major projects, ensuring alignment across domains.

2. Security & Compliance by Design

• Partner with the CISO to embed security controls, IAM policies, data protection measures, and secure coding practices across all architecture layers.
• Ensure every solution conforms to security, resilience, privacy, and performance requirements.
• Contribute to risk assessments, architectural impact analysis, and security reviews.

3. Technology Strategy & Innovation

• Evaluate emerging technologies, cloud-native approaches, integration platforms, and AI/automation trends for business relevance.
• Define technology roadmaps, platform lifecycle management, upgrade strategies, and rationalization plans.
• Evaluate and guide adoption of AI/ML platforms, GenAI tools, intelligent automation, and cloud-native AI architectures.
• Integrate AI roadmap into broader technology lifecycle and modernization strategy.
• Recommend modernization opportunities to reduce tech debt and improve cost efficiency.

4. Documentation & Knowledge Management

• Own the centralized product and solution documentation repository ensuring consistent, accurate, and up-to-date architecture artefacts.
• Publish system interface catalogues, dependency maps, data flow diagrams, and solution blueprints.
• Lead efforts to improve cross-domain dependency visibility and support structured change impact assessments.

5. Cross-Functional Collaboration

• Work closely with the Engineering Excellence CoE on quality gates, automation readiness, performance testing standards, and CI/CD alignment.
• Partner with delivery leads to translate business requirements into scalable, well-architected solutions.
• Collaborate with Finance, Security, Network Operations, and Business Teams to ensure architecture supports operational and strategic outcomes.

6. AI Strategy & Enterprise Use Case Enablement

• Identify, evaluate, and prioritize AI/ML use cases across business and IT domains (operations optimization, automation, anomaly detection, forecasting, insight generation, etc.).
• Architect AI-ready platforms, data pipelines, API-based model integration, and cloud-native AI workloads.
• Partner with the Data/Analytics team and AI vendors to implement responsible AI frameworks, ensuring accuracy, governance, explainability, and compliance.
• Drive adoption of GenAI, automation, and intelligence capabilities within applications, reporting, workflows, and customer-facing solutions.
• Ensure AI initiatives are aligned to business outcomes, secure by design, and maintain cost efficiency.

QUALIFICATIONS:

• 1318+ years of experience in architecture roles across telecom, enterprise IT, or cloud-native environments.
• Deep expertise in at least two domains (voice, messaging, billing/BSS, SAP, web apps, BI, cloud infrastructure).
• Strong background in integration architecture, microservices, cloud platforms (AWS/Azure), API frameworks, and data architecture.
• Proven experience implementing enterprise AI/ML use casespredictive analytics, anomaly detection, automation accelerators, or GenAI-driven capabilities.
• Strong understanding of AI architecture patterns: vector databases, RAG, model integration, data pipelines, MLOps, governance frameworks.
• Ability to translate business problems into feasible AI-enabled solution designs.Demonstrated ability to operate in a matrixed environment and influence without authority.
• Excellent communication, documentation discipline, and executive presence.

What Success Looks Like

• Strong architectural consistency across IT/IS systems
• Improved cross-domain integration quality
• Reduction in tech debt and duplicated solutions
• Security and compliance embedded into all designs
• Clear, complete solution documentation across systems
• Faster, higher-quality delivery with fewer rework loops
• Architecture Board functioning with strong governance and alignment