Architect
Posted 14 Oct 2026
Advertised as “Lead Architect”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 15+ yrs
- Management level
- People management
- Employment
- Hybrid
No salary listed for this role.
CertificationsAWS Certified Solutions Architect - Professional, Google Professional Cloud Architect, Microsoft Certified: Azure Solutions Architect Expert, FinOps Certified Practitioner (FCP), Google Professional Data Engineer, SAFe Agilist (Leading SAFe)
Field of studyComputer Science, Engineering, Information Technology (or related)
Study levelBachelor's or higher
Publication date : Sep 01, 2026, 12:00AM
About us
Join us at Orange Business!
We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
About the role
We are looking for a visionary Lead Architect with over 15 years of experience to join our Integration delivery team. In this role, you will be a strategic leader responsible for designing and delivering complex, large-scale integration, cloud-native environments. You will drive the architectural vision for our clients, ensuring high-performance, secure, and cost-optimized digital transformations.
Key Responsibilities
Architecture Strategy & Leadership: Define and drive the end-to-end architectural roadmap for digital integration, application modernization, and cloud-native adoption.
Cloud & Application Modernization: Lead the migration of monolithic legacy applications to microservices-based, containerised (Docker/Kubernetes) architectures on major cloud platforms (AWS, Azure, or GCP).
AI / ML Solution Engineering: Design and implement AI-based solutions, including Generative AI patterns (RAG, agent workflows) vector databases, and prompt engineering and enhance business processes.
Design the end-to-end ML lifecycle (MLOps), covering data ingestion, model training, deployment, and automated retraining workflows.
Build AI-enabled applications using Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering
FinOps & Cost Governance: Establish and oversee FinOps frameworks to optimize cloud spend, ensuring that architectural decisions align with financial efficiency and business value.
Application & SaaS Integration: Design of robust API-led and event-driven integration frameworks using tools like MuleSoft, Apigee, Tibco or Kafka.
SaaS integration strategies for major platforms (Salesforce, Workday, SAP, ServiceNow) using iPaaS and Unified APIs.
Enforce best practices for multi-tenant SaaS architecture, including OAuth 2.0 and secure identity management.
Stakeholder Management: Serve as a trusted advisor to C-suite executives, translating complex technical requirements into strategic business outcomes.