About Cognizant Consulting
Cognizant Consulting is more than Cognizant’s consulting practice. We are a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending deep industry knowledge with technology advisory capability, we create innovative business solutions for Fortune 500 clients. Now, we are looking for our next colleague to help shape the future of business. Could it be you?
About the role
As an AI & Modern Engineering Architect, you will make an impact by shaping target-state architecture and translating complex legacy application findings into practical, delivery-ready modernisation solutions. You will be a valued member of the Solution and Domain Architecture team, working collaboratively with client stakeholders, programme governance, cloud, engineering, data, integration, testing and operations teams.
In this role, you will:
- Develop solution architecture inputs and target designs for complex telecommunications applications, translating business capabilities, rules, interfaces, data, batch behaviour and non-functional requirements into clear modernisation decisions.
- Guide legacy modernisation treatment planning across refactor, migration and decommissioning pathways, while protecting functional parity, operational continuity and critical downstream dependencies.
- Align architecture decisions with enterprise reference architecture and AWS-aligned cloud direction, applying open standards, API-first principles and decoupled functional boundaries where appropriate.
- Incorporate AI-assisted engineering practices into solution design, including code modernisation, automated testing, documentation generation, application analysis and platform observability, while ensuring governance, security and business value outcomes.
- Define future-state architectures that leverage cloud-native, data-driven and AI-enabled capabilities to help clients modernise legacy platforms and establish scalable digital foundations.
- Define and review data, integration, migration and cutover architecture, including dependency mapping, reconciliation, parallel-run, rollback and stabilisation considerations.
- Present evidence-based recommendations, risks and trade-offs through architecture governance forums, supporting design approvals, readiness reviews, transition, cutover and handover.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in Sydney or Melbourne. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
What you must have to be considered
- Experience in solution or domain architecture within complex enterprise transformation, ideally in telecommunications or another regulated environment.
- Demonstrated experience applying AI-led software engineering approaches to legacy modernization initiatives, including automated code analysis, reverse engineering, documentation generation, code transformation, testing acceleration and cloud migration planning using tools such as Cursor, Claude Code, Devin, Codex, GitHub Copilot and Amazon Q Developer.
- Experience shaping mainframe-to-cloud or application modernisation solutions, with knowledge of Java/Spring and AWS-aligned architecture patterns.
- Ability to produce solution blueprints, architecture decisions, dependency maps, migration designs, and risk and assumption records from incomplete or ambiguous information.
- Strong client-facing communication and facilitation skills, with experience influencing architecture, engineering, programme and governance stakeholders in multi-vendor environments.
These will help you succeed
- Telecommunications architecture experience across order, service, billing, assurance, customer or fixed-line capabilities.
- Experience with data migration, integration architecture, application decomposition, cutover or legacy decommissioning.
- Knowledge of IMS, VSAM, NATURAL, SAS and complex mainframe interface landscapes.
- Enterprise, solution architecture or cloud certification.
- A pragmatic, evidence-led approach that clearly distinguishes confirmed facts, assumptions, dependencies and open decisions.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Über Cognizant
Cognizant (NASDAQ: CTSH) i ist ein Technologiedienstleister und Entwickler von KI-Lösungen. Wir schlagen die Brücke zwischen KI-Investitionen und echtem unternehmerischem Mehrwert, indem wir ganzheitliche Full-Stack-KI-Lösungen für unsere Kunden entwickeln. Mit unserer fundierten Branchen-, Prozess- und Engineering-Expertise integrieren wir die spezifischen Anforderungen von Unternehmen passgenau in Technologiesysteme. So entfalten wir das menschliche Potenzial, erzielen greifbare Ergebnisse und sichern globalen Unternehmen in einer sich rasant wandelnden Welt den entscheidenden Vorsprung. Erfahren Sie mehr unter cognizant.ai oder @cognizant.
Zusätzliche Informationen zur Beschäftigung
Die Vergütungsinformationen sind zum Zeitpunkt der Veröffentlichung dieser Stellenausschreibung korrekt. Cognizant behält sich das Recht vor, diese Informationen jederzeit unter Beachtung der geltenden gesetzlichen Bestimmungen zu ändern.
Bewerberinnen und Bewerber können verpflichtet sein, an Vorstellungsgesprächen persönlich oder per Videokonferenz teilzunehmen. Darüber hinaus kann es erforderlich sein, bei jedem Gespräch einen gültigen staatlichen Lichtbildausweis vorzulegen.
Cognizant ist ein Arbeitgeber mit Chancengleichheit. Ihre Bewerbung und Kandidatur werden nicht aufgrund von Rasse, Hautfarbe, Geschlecht, Religion, Glaubensbekenntnis, sexueller Orientierung, Geschlechtsidentität, nationaler Herkunft, Behinderung, genetischen Informationen, Schwangerschaft, Veteranenstatus oder sonstiger durch bundes‑, landes‑ oder kommunalrechtliche Vorschriften geschützter Merkmale berücksichtigt oder abgelehnt.
