Hands‑on AI Infrastructure Architect responsible for designing, deploying, and optimizing AI and ML infrastructure across cloud and on‑premises environments, leading engineering workstreams and mentoring junior staff.
Responsibilities
Write, review, and debug code, scripts, and infrastructure‑as‑code for AI infrastructure
Architect, configure, and provision compute resources across cloud and on‑premises environments
Design and maintain deployment automation and CI/CD pipelines
Deploy AI systems, models, and data pipelines into production
Lead container orchestration and model serving using Docker, Kubernetes
Senior AI Architect providing enterprise-level architecture leadership for AI adoption within the Australian Government.
Compensation
$140 - $160 per hour (inc. super)
Responsibilities
Develop and maintain AI architecture strategy, target architecture, principles, standards, reference architectures, reusable patterns and roadmaps
Translate business, policy, service delivery and ICT requirements into secure, scalable, resilient and supportable end-to-end AI architectures
Assess AI opportunities, platforms, models and tools against strategic alignment, business and public value, feasibility, data readiness, interoperability, cost, risk, performance, supportability and vendor dependency
Define and assure architecture patterns, guardrails and controls across the AI lifecycle for generative AI, large language models, retrieval-augmented generation, machine learning, intelligent automation and emerging AI technologies
Provide architecture assurance and clear advice on options, trade-offs and risks to senior stakeholders and governance forums
Requirements
Relevant tertiary qualifications or recognised certifications in architecture, information technology, artificial intelligence, machine learning, computer science, data science, engineering, cloud or cyber security
Nice to have: Experience delivering AI architecture within the Australian Government or another large, complex and highly regulated environment
Design, build, and deploy intelligent AI agents for consumer and business applications, owning the full lifecycle from ideation to production deployment.
Compensation
Annual base salary: $180,000–$275,000, depending on experience and qualifications. Competitive equity opportunity.
Responsibilities
Design, build, and deploy intelligent AI agents for consumer and business applications.
Own agentic AI features throughout the complete product lifecycle, from ideation and architecture to implementation and production deployment.
Develop customer-facing AI experiences using Large Language Models (LLMs) and modern agentic frameworks.
Build and improve AI agent functionality, evaluations, monitoring systems, and safety safeguards.
Develop scalable, high-performance web applications using modern full-stack technologies.
Requirements
Nice to have: shipping production-grade agentic AI products
Nice to have: familiarity with LLMs
Nice to have: AI agent frameworks
Nice to have: AI-powered workflow automation
Nice to have: integrating AI applications with APIs and external services
Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Data Governance and AI Governance strategiesNewCapgemini · Austin, US
Senior AI ArchitectCYOS Solutions · Canberra, Australia
Senior AI EngineerPremier Global Links LLC · San Francisco, US