Lead Microservices & AI Technical Architect New

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 principlesProven 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.