Top AI Jobs in Sydney

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.

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.

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 ASICS Oceania BI & AI function: define and execute BI/AI strategy, deliver analytics, reporting and dashboards, establish data governance and quality, drive AI roadmap and adoption, manage team capability, deliver projects/budgets/vendor management, and partner with stakeholders to generate measurable business value and promote data literacy.

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.

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.

The Mid/Senior AI Cinematic Video Editor will create narrative-driven video content using AI tools, manage production workflows, and ensure visual cohesion.

The Senior Site Reliability Engineer will support the AI Research team by ensuring infrastructure stability, overseeing production services on GCP using Kubernetes, and improving CI/CD pipelines while collaborating closely with researchers and engineers.

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

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.

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 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.

As a Senior Software Engineer, you will design and implement AI/ML tools for game development, collaborating with cross-disciplinary teams to enhance workflows and player experience.

The Software Engineer will implement, configure and deliver AI solutions, focusing on integrations and conversational AI across the NICE CXone ecosystem, while ensuring quality and problem-solving in a collaborative environment.

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

Contract AI/Data Platform Engineer to build 2-3 AI-enabled use cases for sales and commercial teams, design Azure OpenAI integrations, establish RAG patterns, standardize Power BI datasets/semantic models, expose data via APIs, embed solutions into workflows, and deliver reusable patterns for the internal team within tight timeframes.

Lead AMP's enterprise AI product strategy and platform ownership (including Microsoft Copilot). Define enterprise AI roadmap, prioritise AI investments by value/cost/risk, drive adoption and governance, coordinate across business, technology, risk and legal, and identify scalable AI opportunities to deliver commercial and operational value.

Support maintenance and improvement of regulatory compliance content: perform legal research, draft and edit content, update formatting and metadata, conduct quality reviews, manage documentation and workflows, and assist content managers with day-to-day operational tasks across jurisdictions.

Work lawyer-to-lawyer with senior legal stakeholders to drive adoption of LexisNexis Protege, translating workflow priorities into AI-enabled solutions, delivering demonstrations, supporting pre- and post-sales pursuits, capturing customer insights in CRM, and partnering with Relationship Managers to grow engagement and create new business opportunities.

Validate and improve AI-generated legal and regulatory compliance outputs through legal research, testing, identifying gaps and edge cases, and providing structured feedback to product, engineering and data science teams. Support prompt design, evaluation frameworks, training data, taxonomy and metadata, and work across Australian, UK and global regulatory environments to enhance AI accuracy and customer outcomes.

Provide advanced (Tier 3) application support: investigate and resolve complex technical issues, analyze logs and code, troubleshoot, document resolutions, and collaborate with Engineering and Product to report bugs and improve the knowledge base.

Lead CX and AI strategy engagements: assess current-state, define future operating models, recommend CCaaS/CRM/AI platforms and architectures (MCP, A2A, APIs), design AI-enabled workflows, advise executives, and drive large-scale transformation with measurable business cases.

Partner with the CEO to turn priorities into execution across product, hiring, licensing, partnerships and market launches. Track OKRs, decisions, blockers and deadlines; prepare briefs, updates and action trackers; work cross-functionally to identify and close execution gaps and own urgent cross-departmental business problems.

Lead and drive strategic execution for BJAK's finance super app expansion. Build operating rhythms, OKRs, decision materials, and coordinate cross-functional workstreams. Identify risks and dependencies, enable leadership trade-offs on people/capital/product/market priorities, and own high-impact special projects requiring senior judgment and cross-team authority.

Lead product areas within BJAK's finance super app—define problems, scope, roadmaps and metrics; work with engineering, design, data, ops and compliance; launch, monitor, iterate, and simplify complex financial journeys for Australian users.