AI Architect

NTT DATA, Inc.; Canberra; On-site; AUD 180,000 - 240,000; Full time

Job summary

NTT DATA, Inc. in Canberra seeks an experienced technology leader to provide architectural authority for cloud-native, microservices and AI-enabled platforms.

You will guide AI adoption across the service delivery lifecycle and ensure capability transfer throughout delivery. You will lead modern engineering and AI delivery practices, drive platform modernization, containerisation, and secure, scalable operations, while mentoring multidisciplinary teams and aligning with enterprise architecture

Qualifications

• Experience designing cloud native architectures for enterprise environments.
• Proven ability to lead AI enabled software delivery and SDLC improvements.
• Strong knowledge of DevSecOps, CI/CD, observability and security by design.

Responsibilities

• Provide technical leadership and architectural authority for cloud native, microservices and AI platforms.
• Lead establishment of modern engineering and AI delivery practices across SDLC, CI/CD and security.
• Drive platform modernization, containerisation and integration of enterprise systems.
• Build organisational capability through knowledge transfer and governance.
• Design, implement and govern cloud native/microservices architectures with resilience and security.
• Lead delivery in Agile environments across dispersed teams and executives.

Skills

Cloud architecture

Microservices

AI engineering

DevSecOps

CI/CD

Platform engineering

Kubernetes

OpenShift

Security by design

Tools

Kubernetes

OpenShift

AKS

EKS

GKE

Job description

• 12months contract + 2x 12 months extension option
• Baseline security clearance preferred

About the role

The role will provide technical leadership, influence system builds and engineering decisions, guide the adoption of AI across the service deliver lifecycle and ensure capability transfer occurs throughout delivery.

Key duties and responsibilities

The successful candidate will be required to:

• Provide technical leadership and architectural authority for the design, governance and evolution of cloud native, microservices based and AI enabled platforms, ensuring alignment with enterprise architecture, security and business transformation objectives.
• Lead the establishment of modern engineering and AI delivery practices, including AI enabled software development lifecycle (SDLC), DevSecOps, CI/CD, observability, automated testing and platform engineering standards that support secure, scalable and reliable service delivery.
• Drive technology modernisation and platform adoption, including microservices enhancement, containerisation, integration of enterprise systems and implementation of reusable patterns that improve scalability, maintainability and operational resilience.
• Build organisational capability and technical maturity through knowledge transfer, engineering governance and leadership of multidisciplinary teams, fostering engineering excellence and continuous improvement.
• Extensive experience designing, implementing and governing cloud native, microservices and event driven architectures within complex enterprise environments, delivering scalable, resilient and secure business critical platforms.
• Demonstrated expertise in AI engineering and AI enabled solution delivery, including the development, deployment and operationalisation of enterprise AI capabilities, semantic search, machine learning solutions and responsible AI practices.
• Strong software engineering and platform engineering capability, including modern development frameworks, DevSecOps, CI/CD, automated testing, observability, security by design and operational excellence.
• Proven ability to lead enterprise technology modernisation and transformation initiatives, providing technical direction, influencing architecture decisions and delivering measurable improvements in platform reliability, security, scalability and engineering maturity.
• Exceptional stakeholder engagement, communication and leadership skills, with demonstrated experience leading multidisciplinary teams, delivery partners and senior executives and translating complex business requirements into practical technology outcomes.
• Experience designing, implementing and operating container platforms using technologies such as Kubernetes, OpenShift, AKS, EKS or GKE, including platform automation, governance and workload management.
• Experience with cloud platform modernisation, Site Reliability Engineering (SRE), platform engineering, observability tooling and enterprise scale automation practices.
• Experience leading delivery within Agile environments, including coaching geographically dispersed teams, driving capability uplift and fostering a culture of collaboration, innovation and continuous improvement.