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
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Locations (2)
Pune, Maharashtra, India
Bengaluru, Karnataka, India
Responsibilities
Lead the design and implementation of AI and machine learning solutions to meet project requirements.
Mentor junior team members to support their professional growth and skill development.
Coordinate cross-functional efforts to ensure seamless integration of AI components within larger systems.
Provide solutions to problems for their immediate team and across multiple teams.
Engage with multiple teams and contribute on key decisions.
Design and build AI/ML applications and systems, integrating generative AI, deep learning, neural networks, and image processing into production-ready pipelines.
Responsibilities
Lead design and implementation of AI and machine learning solutions
Mentor junior team members
Coordinate cross-functional efforts to integrate AI components
Provide solutions to problems for immediate and multiple teams
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality.
Responsibilities
Design and build advanced AI applications and systems
Integrate AI solutions into robust production pipelines
Apply generative AI models, deep learning, neural networks, chatbots, image processing
Collaborate with cross-functional teams to refine and enhance intelligent systems
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
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