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.
Things to know before you apply
- Work authorization: Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
- Accommodations: If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
- AI in hiring: We use artificial intelligence (AI) tools to help us screen and assess applications more efficiently. Our team performs additional human review and ultimately decides who moves forward in our hiring process.
- Open position: Unless otherwise stated, this job posting is for an open position on our team.
- Language proficiency: We ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
- Inclusion: Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.











