Help shape how AI is built securely at scale. In this role, you’ll combine AI security architecture with hands‑on engineering to protect emerging AI and agentic systems from development through deployment.
Compensation
Salary Range:
Kč948,290.00 - Kč1,761,110.00
Responsibilities
Shape secure AI architectures, standards and patterns across enterprise AI platforms and solutions.
Define security strategies protecting AI models, datasets, pipelines and supporting infrastructure.
Assess AI environments, identify vulnerabilities and mitigate risks throughout the AI lifecycle.
Design secure agentic AI workflows, Model Context Protocol servers and integrations.
Embed security into AI development, deployment and Machine Learning Operations processes.
Design and scale data pipelines and machine learning infrastructure for an AI-first platform, using AI tools to multiply output and working with product/ML engineers.
Compensation
The base salary is $170,000 to $200,000 for US-based candidates, plus equity.
Responsibilities
Design and build reliable data pipelines that process large volumes of customer warehouse data
Build and run the machine learning operations infrastructure that takes models from training to production: feature pipelines, training jobs, deployment, and monitoring
Own data quality and data modeling to ensure accurate and trustworthy data
Use AI coding tools effectively by writing clear specs and context, running agents on parallel workstreams, and reviewing their output critically
Build shared AI workflows, guardrails, and review standards
The Senior Artificial Intelligence (AI) Architect provides enterprise level architecture leadership for the agency’s adoption of AI, shaping strategy and delivering secure, scalable and responsible solutions aligned with business priorities.
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
Lead design and implementation of agentic analytics systems and data pipelines for Google Payments, collaborating with product, data science, and engineering teams to deliver AI-enabled insights and governance.
Responsibilities
Design and build agentic analytics systems leveraging LLMs and AI
Translate product needs into production-grade data systems (models, pipelines, services)
Lead design and coordination of analytics infrastructure powering product analytics across payments
Build AI-native analytics workflows embedding intelligence directly into data and decision systems
Partner with product, data science, and engineering to shape problem definitions and deliver solutions
Requirements
Bachelor’s degree or equivalent practical experience
Develop and maintain the agency’s 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
Senior AI ArchitectCYOS Solutions · Canberra, Australia
Senior Data Engineer, Product Analytics, PaymentsGoogle · Singapore, Singapore