Senior Data & AI Engineer

ShowTime Consulting; Sydney; On-site; AUD 170,000 - 230,000; Full time

Job summary

Showtime Consulting is seeking a Senior Data & AI Engineer to join a growing team delivering enterprise-scale Data and AI solutions. This hands‑on role sits at the intersection of Data, Software, ML, and AI engineering, responsible for building data foundations, platforms, and enterprise integrations to support AI in production.

You will collaborate with data scientists, software engineers, architects, and stakeholders while uplifting engineering capability across the organization in Australia

Qualifications

• Bachelor's degree required; strong background in software, data, platform or AI engineering.
• 8+ years of experience delivering production AI and data solutions at enterprise scale.
• Strong architectural, analytical, and troubleshooting abilities.
• Collaborative leadership with mentoring and team development.
• Commitment to secure, scalable, high‑quality technology solutions.

Responsibilities

• Design, build, and maintain scalable data platforms, pipelines, and AI engineering solutions.
• Deliver end‑to‑end AI initiatives from concept to production deployment and support.
• Develop robust data ingestion, transformation, orchestration, and integration capabilities.
• Design and implement cloud‑native AI platforms and production‑ready ML solutions.
• Build and optimize APIs, microservices, and event‑driven architectures.
• Develop and deploy AI agents and agentic workflows integrated with enterprise platforms.
• Implement RAG solutions using vector databases and modern LLM frameworks.
• Collaborate with data scientists to operationalise models and accelerate delivery.
• Establish CI/CD, IaC, security, governance, monitoring, and Responsible AI practices.
• Provide technical leadership and mentoring to engineers.

Skills

Data engineering

AI engineering

Python

SQL

Cloud platforms

APIs/microservices

CI/CD

Security/governance

Leadership/mentoring

Big data

Education

Bachelor's degree in CS/Data Science

Tools

Spark

Databricks

LangChain

Kubernetes

Docker

Job description

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 solutions
• Deliver end‑to‑end AI initiatives from concept and architecture through to production deployment and operational support
• Develop robust data ingestion, transformation, orchestration, and integration capabilities across enterprise systems
• Design and implement cloud‑native AI platforms and production‑ready machine learning solutions
• Build and optimise APIs, microservices, and event‑driven architectures supporting modern AI applications
• Develop and deploy AI agents and agentic workflows integrated with enterprise platforms and business processes
• Implement Retrieval‑Augmented Generation (RAG) solutions using vector databases and modern LLM frameworks
• Collaborate closely with data scientists to operationalise models and accelerate the delivery of AI solutions
• Establish best practices across CI/CD, infrastructure as code, security, governance, monitoring, and Responsible AI
• Provide technical leadership, mentoring, and coaching to engineers as they transition into AI engineering capabilities
• Troubleshoot complex platform, data, and AI‑related issues in production environments
• Evaluate 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 Engineering
• Proven experience delivering enterprise‑scale data or AI solutions from concept through to production
• Advanced proficiency in Python and SQL
• Strong experience building APIs, microservices, and distributed systems
• Experience working with event‑driven architectures and modern integration patterns
• Expertise designing and delivering cloud‑based data and AI platforms
• Hands‑on experience with Spark, Databricks, or equivalent big data technologies
• Strong understanding of Large Language Models (LLMs) and modern Generative AI concepts
• Practical experience with embeddings, vector databases, Retrieval‑Augmented Generation (RAG), and agent orchestration frameworks
• Experience implementing CI/CD pipelines, Infrastructure as Code, monitoring, observability, and platform automation
• Strong knowledge of security, governance, compliance, and Responsible AI practices
• Excellent communication, stakeholder engagement, and problem‑solving capabilities
• Proven experience mentoring engineers and leading technical delivery teams

Desirable Experience

• Experience delivering Agentic AI and autonomous workflow solutions within enterprise environments
• Exposure to MLOps, ModelOps, and AI platform engineering practices
• Experience with modern AI frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar
• Knowledge of containerisation and orchestration technologies including Docker and Kubernetes
• Experience working across Azure, AWS, or Google Cloud AI and data services
• Exposure to streaming and real‑time data platforms such as Kafka, Event Hubs, or equivalent
• Experience operating within large‑scale enterprise, consulting, government, or regulated environments
• Knowledge of data governance, privacy, and AI compliance frameworks

Qualifications

• Bachelor's degree in computer science, Software Engineering, Data Science, Information Technology, or a related discipline
• 8-15+ years of experience across software, data, platform, or AI engineering roles
• Demonstrated experience delivering production‑grade AI and data solutions at enterprise scale
• Strong architectural, analytical, and troubleshooting capabilities
• A collaborative leadership style with a passion for mentoring and building engineering capability
• Commitment to delivering secure, scalable, and high‑quality technology solutions