Top AI Jobs in Sydney

Own and grow ANZ BFSI accounts by executing value-based, consultative sales (MEDDPICC) with C-level and data/AI stakeholders. Land new enterprise logos, expand within existing accounts, coordinate Pre-Sales, Marketing and Customer Success for POVs, and align co-sell motions with hyperscalers and GSIs while maintaining rigorous forecasting in Salesforce.com.

Support marketing and growth teams to create AI-generated content, plan and schedule social posts, build email campaigns and automation, manage CRM segmentation, repurpose content, conduct SEO and competitor research, monitor campaign performance and reporting, document processes and prompts, and assist with webinar and partner marketing.

Support building AI-powered, no-code/low-code workflow automations across marketing, sales, customer success, and internal ops. Help automate CRM and repetitive tasks, assist AI-assisted research, test and document workflows, and collaborate with cross-functional teams to improve business processes.

Work with AI engineers to build, test, and improve production AI workflows that automate business processes, integrate with APIs and data stores, develop simple LLM-based applications, optimize prompts and structured outputs, and deliver at least one functional AI automation project during the internship.

Embed with strategic customers to prototype, build, and productionize full-stack AI and agentic applications. Advise on AI strategy, codify repeatable solution patterns, mentor teams, and feed product improvements.

Lead design, development, testing, and App Store submission of production-scale iOS features in Swift. Collaborate cross-functionally, enforce code quality via reviews and refactoring, maintain technical documentation, and adopt AI-assisted tooling to improve productivity across large, user-facing modules.

Senior forward-deployed engineer who leads end-to-end delivery of AI-first, full-stack solutions for enterprise clients. Own discovery through production, embed with client teams, apply Gen-e2 AI-native engineering practices, use LLMs and AI coding tools daily, and modernize .NET applications while ensuring architecture, adoption, and measurable impact.

Build and operate distributed backend services and genomic reasoning engines that combine whole genome bioinformatics with AI. Design scalable data models, retrieval and vector search systems, and deterministic guardrails to ensure scientifically accurate, explainable genomic AI for production use.

Design and build production AI systems and distributed backend services that enable genomic reasoning, retrieval, and data platforms. Integrate genomic annotations and interpretation logic, architect high-performance data models and storage across PostgreSQL, DuckDB, Qdrant, Redis, and Spark. Ensure AI outputs are accurate, explainable, and grounded in genomic evidence while collaborating across engineering and bioinformatics teams.

The AI Consultant will design and implement AI-driven workflows, develop AI agents, automate processes, and integrate AI systems with third-party platforms, focusing on operational efficiency and support.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Develop and maintain scalable backend services and APIs, collaborate with frontend developers, and lead new features and infrastructure improvements.

The AI Solution Strategist role involves collaborating with product managers and engineers to develop conversational AI agents, driving customer success and supporting AI initiatives. The position requires strategic thinking, project management, and skills in aligning technical and business teams, while focusing on agent design and performance analytics.

The Marketing & AI Associate will execute marketing tasks, utilize AI tools for content creation, and support operational activities. Responsibilities include publishing content, building AI workflows, and coordinating events.

Lead design and delivery of scalable AI and data platforms including LLM and agentic systems, RAG, and Databricks-based lakehouse architectures. Architect batch and streaming pipelines, implement MLOps/DataOps, establish standards and guardrails, embed Responsible AI and governance, and mentor engineers while driving cross-functional delivery and platform reliability.

Lead presales enterprise architecture for Data/AI and Applications, designing integrated multi-tower solutions (data platforms, GenAI, MLOps, application modernization, cloud, integration, AIOps). Drive account planning, C-suite workshops, bid leadership, value cases, demos, portfolios, and in-contract innovation while coaching teams and ensuring delivery and commercial alignment.

Lead and grow a Colombia-based AI engineering team (3-5 engineers), own delivery across multiple client engagements, set technical architecture and standards, stay hands-on for high-stakes builds (agents, multi-step pipelines, integrations), partner on engineering strategy, and represent the team with clients and internal stakeholders to ensure quality, timely delivery, and scalable production AI systems.

Lead Canva's GenAI localisation program: coordinate cross-functional teams, design large-scale evaluation operations (human + automated), manage labellers and vendors, build dashboards and tooling, analyze localisation quality data, and communicate progress to stakeholders.

Lead technical discovery and hands-on AI workshops to identify, validate, and prioritize private AI use cases. Assess enterprise data readiness, define technical requirements and success criteria, build lightweight proofs of concept and reference architectures, and hand off validated opportunities to engineering teams. Partner with ecosystem providers (e.g., NVIDIA) and regional pods to scale reusable AI patterns across customers and industries.

The 3D Exhibition Design Automation Lead will enhance design workflows through AI tools and automation, leading to smarter exhibition concepts and documentation processes.

The AI Architect will lead Generative AI projects by overseeing solution architecture, managing development lifecycles, and ensuring operational stability on Google Cloud. The role involves aligning AI solutions with client KPIs and requires strong technical and communication skills.

Develop and optimize backend architecture for a multi-brain AI trading system. Design and implement AI/ML models and workflows, integrate blockchain and smart contracts, build and maintain APIs, databases, and cloud infrastructure, perform code review, testing, debugging and performance optimization, and ensure security, data integrity, and production readiness.

Build and ship AI-driven GTM systems: outbound lead engine, inbound/lifecycle automations, AI-assisted content pipeline, data/reporting layer, and fast production patches to eliminate manual marketing workflows.

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

PhD research integrating computer vision, large and small AI models, formal reasoning, reinforcement learning, and robot control to enable trustworthy humanoid robots for high-risk tasks. Work includes hands-on experiments with robotic platforms, multimodal sensors, simulation, and industry collaboration in explosive ordnance disposal, mining, and construction.