Customer Delivery Software Architect
Role Overview
Cisco Customer Experience seeks a Customer Delivery Software Architect to lead design and delivery of automation and AI-enabled solutions for a major service provider in Saudi Arabia.
Define scalable software architectures connecting network infrastructure, operational systems, data platforms, and business workflows.
This is a software architecture role, not a network migration or product implementation role.
Frequent onsite collaboration in Riyadh is required due to customer access controls, local testing requirements, and close work with engineering and operations teams.
Key Skills for This Role
Full Job Posting
About the Role
Cisco Customer Experience seeks a Customer Delivery Software Architect to lead design and delivery of automation and AI-enabled solutions for a major service provider in Saudi Arabia.
Define scalable software architectures connecting network infrastructure, operational systems, data platforms, and business workflows.
This is a software architecture role, not a network migration or product implementation role.
Frequent onsite collaboration in Riyadh is required due to customer access controls, local testing requirements, and close work with engineering and operations teams.
What You'll Do
- Own the end-to-end software architecture for network automation, orchestration, assurance, observability, and AI-enabled operational solutions.
- Translate business and operational requirements into architecture blueprints, technical roadmaps, integration patterns, data models, APIs, and engineering backlogs.
- Design secure, modular, scalable solutions integrating network platforms with systems such as Cisco Crosswork.
- Establish engineering standards covering source control, automated testing, CI/CD, observability, documentation, release management, security, and software lifecycle governance.
- Guide engineering teams through solution design and delivery, conducting architecture reviews and ensuring implementations meet functional and non-functional requirements.
- Lead and influence global cross-functional teams including PMs, PgMs, SDMs, CEs, TLs, and customer stakeholders.
- Define practical approaches for applying AI and analytics to anomaly detection, operational insight, decision support, and workflow automation.
- Build reusable frameworks, reference architectures, and best practices while mentoring engineers.
Minimum Qualifications
- Bachelor's degree with 12 or more years of relevant experience; master's degree with 8 or more years; PhD with 5 or more years; or equivalent relevant work experience.
- Extensive experience designing and delivering enterprise-grade software, automation, orchestration, or systems-integration solutions.
- Strong proficiency in software architecture principles, distributed systems, API design, event-driven architectures, data modelling, and integration patterns.
- Hands-on experience with Python or a comparable programming language, APIs, Git, automated testing, CI/CD, containers, and modern development practices.
- Experience architecting solutions that integrate network infrastructure, operational platforms, telemetry, data, and business workflows.
- Understanding of AI/ML concepts and their practical application to automation, analytics, and operational use cases.
- Demonstrated ability to lead cross-functional engineering teams and communicate with technical and executive stakeholders.
- Experience with Cisco NSO or comparable orchestration platforms, including service modelling, lifecycle management, device integration, and reusable automation components.
Preferred Qualifications
- Experience in telecommunications, service-provider, or other large-scale mission-critical environments.
- Knowledge of network orchestration, assurance, observability, and automation platforms including Cisco Crosswork.
- Experience establishing engineering governance and reusable automation frameworks across multiple teams.
- Familiarity with cloud-native architectures, microservices, Kubernetes, streaming technologies, data platforms, and AIOps.
- Understanding of responsible AI, data governance, model lifecycle management, and security-by-design.
- Experience mentoring software engineers and helping organizations adopt modern software-engineering practices.
Work Details
- Nature of work: Onsite full time.
- Hours of work: 48 hours per week.
Benefits
- Healthcare and Insurance.
- Employee Stock Purchase program.
- Flexible Spending Benefit.
- Flex and Schooling Allowances and more.
Application Window
- Application start and end date: 27th October for 4-5 weeks.
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