Senior Data & AI Engineer

Company Description Showtime Consulting is a leading provider of Shielded Cloud and Digital Solutions across Australia and New Zealand. We specialise in delivering secure, enterprise-scale technology outcomes within highly regulated environments, supporting government, enterprise, and national security programs. We partner with organisations undergoing digital transformation, helping them build scalable, modern software solutions that deliver exceptional user experiences and business outcomes. The Role We are seeking a highly experienced Senior Data & AI Engineer to join a growing team delivering enterprise-scale Data and AI solutions. This is a hands-on engineering role that sits at the intersection of Data Engineering, Software Engineering, Machine Learning Engineering, and AI Engineering. You will be responsible for building the data foundations, platforms, pipelines, and enterprise integrations required to support AI, Generative AI, and Agentic AI solutions in production environments. The successful candidate will have proven experience delivering end-to-end AI and data solutions from concept and architecture through to deployment, adoption, and measurable business outcomes. You will collaborate closely with data scientists, software engineers, architects, and business stakeholders while helping uplift engineering capability across the organisation. Key Responsibilities Design, build, and maintain scalable data platforms, pipelines, and AI engineering solutionsDeliver end-to-end AI initiatives from concept and architecture through to production deployment and operational supportDevelop robust data ingestion, transformation, orchestration, and integration capabilities across enterprise systemsDesign and implement cloud-native AI platforms and production-ready machine learning solutionsBuild and optimise APIs, microservices, and event-driven architectures supporting modern AI applicationsDevelop and deploy AI agents and agentic workflows integrated with enterprise platforms and business processesImplement Retrieval-Augmented Generation (RAG) solutions using vector databases and modern LLM frameworksCollaborate closely with data scientists to operationalise models and accelerate the delivery of AI solutionsEstablish best practices across CI/CD, infrastructure as code, security, governance, monitoring, and Responsible AIProvide technical leadership, mentoring, and coaching to engineers as they transition into AI engineering capabilitiesTroubleshoot complex platform, data, and AI-related issues in production environmentsEvaluate emerging AI technologies and contribute to strategic technology direction and innovation initiatives What You'll Need Strong hands-on experience across Data Engineering, Software Engineering, Machine Learning Engineering, and AI EngineeringProven experience delivering enterprise-scale data or AI solutions from concept through to productionAdvanced proficiency in Python and SQLStrong experience building APIs, microservices, and distributed systemsExperience working with event-driven architectures and modern integration patternsExpertise designing and delivering cloud-based data and AI platformsHands-on experience with Spark, Databricks, or equivalent big data technologiesStrong understanding of Large Language Models (LLMs) and modern Generative AI conceptsPractical experience with embeddings, vector databases, Retrieval-Augmented Generation (RAG), and agent orchestration frameworksExperience implementing CI/CD pipelines, Infrastructure as Code, monitoring, observability, and platform automationStrong knowledge of security, governance, compliance, and Responsible AI practicesExcellent communication, stakeholder engagement, and problem-solving capabilitiesProven experience mentoring engineers and leading technical delivery teams Desirable Experience Experience delivering Agentic AI and autonomous workflow solutions within enterprise environmentsExposure to MLOps, ModelOps, and AI platform engineering practicesExperience with modern AI frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similarKnowledge of containerisation and orchestration technologies including Docker and KubernetesExperience working across Azure, AWS, or Google Cloud AI and data servicesExposure to streaming and real-time data platforms such as Kafka, Event Hubs, or equivalentExperience operating within large-scale enterprise, consulting, government, or regulated environmentsKnowledge of data governance, privacy, and AI compliance frameworks Qualifications Bachelor's degree in computer science, Software Engineering, Data Science, Information Technology, or a related discipline8-15+ years of experience across software, data, platform, or AI engineering rolesDemonstrated experience delivering production-grade AI and data solutions at enterprise scaleStrong architectural, analytical, and troubleshooting capabilitiesA collaborative leadership style with a passion for mentoring and building engineering capabilityCommitment to delivering secure, scalable, and high-quality technology solutions