Top AI Jobs in Melbourne

Drive enterprise sales and adoption of Red Hat OpenShift, enterprise AI, and Software Factory solutions across Australia, New Zealand, and APAC. Lead complex platform opportunities, build executive relationships, develop business cases, coordinate technical specialists and partners, and guide customers from legacy virtualization toward secure, governed hybrid-cloud architectures. Promote Kubernetes, container platforms, automated software delivery, distributed inference, model serving, and agentic development workflows while building pipeline and mentoring account teams.

Designs and deploys agentic AI workflows and integrations for enterprise customers. Leads implementations from scoping through adoption, builds APIs and automations, configures data connections and guardrails, evaluates agent performance, and manages human-in-the-loop processes. Acts as the primary technical customer contact while coordinating engineering, data science, product, and customer success teams. Owns implementation roadmaps, requirements, acceptance criteria, documentation, and measurable delivery outcomes.

Supports Sales Operations, Planning, and Enablement through data analysis, Power BI dashboards, scenario modeling, and actionable business insights. Develops area-level views, planning tools, and enablement capabilities for segmentation, territory design, resource allocation, and Fast Start execution. Identifies opportunities to apply AI, Copilot, and automation to simplify processes, reduce manual effort, and improve productivity across the organization.

Leads production application support for business-critical financial systems, overseeing incident management, root-cause analysis, releases, change coordination, UAT, compliance, audit readiness, and data governance. The role also develops AI-driven automation and self-service tools, manages support backlogs, and coaches application support staff in troubleshooting, SQL, and operational practices.

Shape conversational AI behavior by writing prompts, creating and annotating dialogue datasets, automating content workflows, testing model versions, evaluating responses, and identifying whether issues stem from prompts, datasets, or models. Collaborate with ML engineers to improve output quality, analyze user conversations, and maintain standards for tone, style, explicitness, and quality. The role requires strong English writing, hands-on LLM experience, analytical ability, and comfort with adult content.

Lead revenue growth for Execo’s AI data services business. Own annual bookings and revenue targets, define go-to-market strategy, lead complex enterprise deals, expand strategic accounts, develop technology partnerships, and build scalable sales motions. The role requires executive-level engagement with AI labs, model builders, and enterprise clients, along with disciplined forecasting, pipeline management, pricing input, and collaboration with delivery and marketing teams.

Lead engineering for MYOB’s customer-facing agentic AI products from discovery through production. Set technical direction, architecture, evaluation standards, and responsible AI practices while balancing quality, latency, reliability, safety, and cost. Lead multidisciplinary teams across AI engineering, data science, and software engineering; develop senior technical leaders; and partner with Product, Design, Security, Architecture, and external AI providers to deliver scalable AI experiences.

Leads MYOB’s AI experience design strategy and delivery, shaping intuitive, ethical, and cohesive AI-powered product experiences. Partners with design, research, product, engineering, and brand leaders on complex projects involving agentic workflows, next-generation interfaces, automation, and adaptive experiences. Establishes UX, UI, service, and design-system patterns; promotes craft excellence and innovation; coaches teams; and connects customer insight, data, design, and business outcomes.

Design, develop, deploy, and support AI-powered applications and services using generative AI, machine learning, cloud platforms, APIs, and data pipelines. Translate business needs into scalable architectures, optimize AI systems, troubleshoot performance issues, and incorporate security, privacy, governance, and responsible AI practices. Collaborate with technical and business stakeholders, evaluate emerging technologies, contribute to standards, and mentor team members.

Provides technical leadership for secure, resilient cloud-native content platforms. Responsibilities include designing and operating AWS and Kubernetes solutions, developing software and automation, integrating AI capabilities, improving CI/CD and infrastructure-as-code practices, embedding testing and observability, strengthening reliability and disaster recovery, and mentoring engineers. The role supports the migration and ongoing enhancement of OpenText document retention and archiving services.

Analyze sales and labor performance to identify productivity opportunities and build demand-based workforce planning models. Develop venue segmentation, labor benchmarks, and forecasting models that translate sales drivers into required labor hours. Support workforce planning tooling discovery, communicate actionable insights to operational leaders, and help Finance track post-implementation benefits. The role requires strong SQL, cloud, visualization, predictive analytics, and workforce management experience, with travel to venues.

Design, implement, test, and deploy autonomous behaviors for uncrewed aircraft. Develop sensor-fusion and perception solutions using real sensor data, validate systems through software- and hardware-in-the-loop simulations, and integrate autonomy products with third-party aircraft and systems. Collaborate across AI, robotics, and systems engineering teams, contribute to architecture and code quality, and mentor junior engineers.

Leads the creation of dentsu’s AI Engineering discipline and portfolio of AI-driven marketing products. Responsibilities include defining architecture, engineering standards, evaluation practices, guardrails, and technical strategy; designing and deploying production-ready AI systems, LLM applications, agentic workflows, and intelligent automation; influencing stakeholders; and shaping long-term AI platform capabilities and strategy.

Designs and delivers secure data, automation, analytics, machine learning, and generative AI solutions from discovery through adoption. The role partners with stakeholders, develops scalable pipelines and integrations, establishes architecture and governance standards, evaluates platforms and vendors, and promotes responsible AI use. It also includes mentoring technical professionals and potentially leading a small team.

Lead high-value AI expansion sales across Simpro’s existing customer base. Sell Pulse to business owners, CFOs, and operations leaders; self-source outbound pipeline; conduct demos; manage complex, fast sales cycles; serve as the product expert; coach junior sales executives; provide customer feedback to internal teams; and exceed a senior sales quota.

Develop and deploy data science, AI, and machine learning solutions, including LLM, RAG, and agentic workflow applications. Evaluate model performance, scalability, and stability; transition prototypes into production with Product, Engineering, and Data Engineering teams. Apply privacy, security, and responsible AI practices, monitor industry trends, and communicate technical recommendations to varied stakeholders.

Supports firm-wide pricing strategy, commercial analysis, profitability reviews, alternative fee arrangements, and client pricing decisions. Coordinates pricing and rates operations, maintains agreement records, implements billing instructions, monitors rate changes, and supports annual reviews and renewals. The role also improves data quality, reporting, templates, automation, and pricing processes while providing guidance to business stakeholders.

Own enterprise business development and sales for Quantium’s scam, fraud, and identity API across banks and financial services organizations. Build target-account pipelines, create demand, manage complex multi-stakeholder sales cycles, negotiate contracts, and close deals. Develop executive relationships across fraud, risk, financial crime, product, and technology teams while shaping market positioning, monitoring regulatory and competitive trends, maintaining forecasts, and collaborating with product, marketing, pre-sales, and customer success teams.

Lead enterprise AI discovery and validation across Australia, identifying high-value private AI use cases and assessing their technical feasibility, data readiness, governance, security, and production potential. Facilitate technical workshops with customers and ecosystem partners, develop proofs of concept and reference architectures, define engineering requirements, and hand qualified opportunities to forward-deployed engineering teams. Build reusable AI patterns, establish regional domain expertise, and communicate effectively with technical and executive stakeholders.

Lead data and AI governance initiatives by evolving governance frameworks, creating practical guidance, delivering literacy programs, and partnering with technical, privacy, regulatory, risk, and business teams. The role focuses on responsible AI adoption, data stewardship, quality, lineage, transparency, explainability, bias mitigation, regulatory alignment, and translating policy into scalable technical and operational practices.

Lead client engagements to design and implement practical AI governance frameworks, assess AI use cases for risk and compliance, embed governance into AI solution design, facilitate stakeholder workshops, and develop governance artefacts to enable responsible, scalable AI adoption.

Own regional enterprise sales across Australia, identifying prospects, generating leads, managing the full sales cycle, and closing high-value data, cloud, and AI transformation programs. Build strategic partner relationships, develop market presence, engage senior decision-makers, and promote AI-first business strategies. The role targets ASX 200 companies and government sectors while leveraging alliances with AWS, Microsoft, Databricks, and Anthropic.

Drive AI Workforce and Modern Work solution sales across ANZ enterprise accounts. Generate pipeline, engage business and technology decision makers, develop customer relationships, articulate Microsoft AI and Microsoft 365 Copilot business value, coordinate account teams and partners, and close opportunities. Lead generative AI transformation discussions, create account and opportunity plans, maintain forecasts, and achieve solution sales targets.

Builds and maintains AI agents and automated workflows for course development and quality assurance. Designs prompts, evaluates AI accuracy, connects workflows using Power Automate and scripting, and establishes reusable standards for scalable production. Monitors workflow reliability, documents solutions, trains staff, and determines which processes are best suited for AI, conventional automation, or human review.

Supports an RMIT research service helping Wyndham businesses identify responsible AI adoption opportunities. Responsibilities include engaging businesses, assessing AI readiness, prioritising opportunities, developing recommendations, contributing to AI programs, collecting and analysing data, preparing case studies and reports, producing research outputs, supporting funding applications, and managing related administration and stakeholder relationships.