Top AI Jobs in Sydney

Lead delivery of AI and automation solutions using Microsoft Power Platform, AI Builder and Copilot Studio. Translate business needs into scoped automation opportunities, run discovery sessions, manage a concurrent delivery pipeline, coach and grow a team of analysts, partner with senior stakeholders, and embed AI governance and compliance.

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 and manage 2-3 AI PODs to drive pipeline growth, win strategic deals, and achieve revenue and margin targets. Coach and develop sales, coordinate shared and OEM resources, run structured GTM operating cadence, and personally engage in high-value customer pursuits and executive briefings.

Lead and manage 2-3 AI PODs to drive pipeline, revenue, margin, and win rates. Coach and develop sales specialists, run weekly GTM operating cadences, engage directly in strategic pursuits with IT and LOB executives, coordinate shared resources and OEM partners, and integrate PODs into regional account planning.

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.

Lead design, build, and deploy production-grade Generative AI solutions. Architect and optimise RAG pipelines and vector DBs, integrate AI via secure APIs/microservices, manage prompt lifecycle, implement MLOps/versioning/monitoring, and mentor engineering teams.

Lead design and delivery of enterprise-scale generative AI and multi-agent systems. Define reference architectures, RAG and vector knowledge layers, integration fabrics, observability, governance, and Responsible AI frameworks. Assess readiness, build roadmaps, coordinate cross-functional teams, and mentor engineering talent.

Design, build, and deploy scalable Generative AI and LLM production applications on GCP. Implement RAG architectures with vector databases, develop high-throughput APIs and microservices, collaborate with cross-functional teams, and apply prompt engineering, model optimization, and performance evaluation to ensure reliable AI solutions.

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.

Create high-quality video content and integrate AI tools into production workflows, combining storytelling and video craft to enhance cinematic quality.

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.

Partner with customers to identify high‑value AI agent use cases, scope and lead end‑to‑end deployments, drive adoption and change management, measure ROI and scale successful automations while aligning executives, product, and engineering.

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.

Manage early-stage grantmaking for the Transformative AI Fund: evaluate applications, recommend grants, source opportunities, support grantees, build partnerships, represent the fund, and develop systems and LLM-assisted tooling to improve grant processes.

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

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 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.