Lead Microservices & AI Technical Architect

Lead Microservices & AI Technical Architect

Lead enterprise microservices, event-driven architecture and production AI delivery for a major Federal Government transformation program.

The opportunity

A major Federal Government department is seeking an experienced Lead Microservices & AI Technical Architect to shape its enterprise approach to cloud-native applications, event-driven architecture and AI-enabled software delivery.

This is a senior, hands-on role requiring someone who can establish architecture standards, guide engineering teams and translate strategy into secure, scalable and operational solutions.

• Long Term Contract - Federal Government Department
• Clearance: Active Baseline or higher clerance (NV1/ NV2) required
• Location: Canberra, ACT preferred- Hybrid and geographically distributed delivery supported

Key responsibilities

• Lead the architecture of enterprise microservices, APIs and event-driven systems
• Establish reusable architecture patterns, standards and governance
• Guide the modernisation of complex legacy and monolithic applications
• Lead the design and operationalisation of enterprise AI capabilities
• Support solutions involving GenAI, LLMs, RAG, semantic search and machine learning
• Embed security, privacy and responsible-AI controls into solution design
• Provide direction across container platforms, DevSecOps, CI/CD and observability
• Lead technical decisions and provide mentorship across multidisciplinary teams
• Engage confidently with executives, architecture forums and delivery stakeholders

About you

You will bring:

• Extensive experience as a Technical Architect, Solution Architect, Enterprise Architect, Principal Engineer or equivalent
• Demonstrated experience designing enterprise microservices and cloud-native applications
• Strong knowledge of API-led and event-driven architecture
• Experience with messaging or streaming technologies such as Kafka, Event Hubs, Service Bus or equivalent
• Experience developing and deploying enterprise AI solutions into production
• Knowledge of GenAI, LLMs, RAG, semantic search or machine-learning technologies
• Experience with Kubernetes, OpenShift, AKS, EKS, GKE or similar platforms
• Strong DevSecOps, CI/CD, automated testing and observability knowledge
• Understanding of secure-by-design and responsible-AI principles
• Proven ability to lead technical teams and influence senior stakeholders

Experience within Federal Government, major digital-transformation programs or highly regulated enterprise environments will be highly regarded.

Apply

If you have led enterprise microservices architecture and successfully taken AI capabilities into secure production environments, please apply with your updated CV.

Please include your location, availability, citizenship, security-clearance status and expected hourly rate.