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AI Enablement Architect

JobtailorMelbourne, Victoria🇦🇺AustraliaPosted 14 Sept 2026

Why This Role Stands Out

This hybrid role offers a unique opportunity to shape the technical vision for a strategic AI capability, providing significant growth and impact within a reputable organization. You'll thrive here if you are a seasoned architect with experience in AI/ML solutions and a passion for leading high-profile initiatives, so we encourage you to apply.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Melbourne, Victoria, Australia
MLOpsMachine LearningComplianceGenerative AI

Job Description


  • Lead architecture, planning and solution design for a high-profile AI enablement initiative

  • Define target architecture, application design and infrastructure Bill of Materials (BOM)

  • Ensure solutions are secure, resilient and operationally ready

  • Partner with stakeholders, engineers and technical specialists to translate operational requirements into AI-enabled outcomes

  • Provide technical leadership throughout implementation

  • Guide build, integration, assurance and deployment activities

  • Shape the technical vision for a strategic AI capability from concept through production deployment

  • Help integrate secure, scalable and operationally effective AI capabilities into mission-critical systems


Requirements

  • Australian citizenship

  • Minimum NV1 security clearance

  • Ability and willingness to obtain and maintain an NV2 clearance

  • Demonstrated experience as a Solution Architect, Systems Architect, Platform Architect or Enterprise Architect within complex technology environments

  • Experience designing and implementing AI, machine learning or generative AI solutions

  • Experience applying AI governance, assurance and responsible AI practices within enterprise or mission-critical environments

  • Ability to develop solution architectures, technical roadmaps and infrastructure designs

  • Experience across cloud platforms, application architecture, systems integration, data ecosystems and cyber security

  • Capability to provide technical leadership across multidisciplinary teams

  • Applicants may need to meet International Traffic in Arms Regulations (ITAR) requirements

  • Advantageous: experience within Defence, national security, intelligence or other mission-critical environments

  • Advantageous: experience in secure, regulated or classified environments

  • Advantageous: knowledge of MLOps, DevSecOps, CI/CD and modern software delivery practices

  • Advantageous: experience with retrieval-augmented generation (RAG), knowledge services, intelligent search or related AI technologies

  • Advantageous: experience supporting technology transformation initiatives from concept through operational handover


Core Competencies

Demonstrates expertise in solution architecture, technical leadership, and the design and implementation of AI and machine learning solutions within complex technology environments. Proficient in developing secure, scalable architectures and integrating AI capabilities into mission-critical systems while adhering to governance and compliance standards.


Highest-signal resume keywords

  • Solution Architecture

  • AI Governance

  • Technical Leadership

  • Cloud Platforms

  • Cyber Security


ATS Optimization Keywords
Hard Skills

  • AI Solution Design

  • Machine Learning Implementation

  • Infrastructure Design

  • Systems Integration

  • Technical Roadmap Development

  • Application Architecture

  • Generative AI Solutions

  • Data Ecosystems

  • MLOps

  • DevSecOps


Soft Skills

  • Stakeholder Collaboration

  • Team Leadership

  • Communication


Certifications & Qualifications

  • NV1 Security Clearance

  • NV2 Security Clearance


Industry Keywords

  • Defence

  • National Security

  • Intelligence

  • Mission-Critical Environments

  • Regulated Environments


Tools & Technologies

  • CI/CD

  • Intelligent Search

  • Retrieval-Augmented Generation

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