Title: Lead Software & AI Engineering Consultant
Location: This is a hybrid role based in Sydney. You must have current working rights in Australia.
About DiUS
DiUS is an Australian B2B technology services company with an excellent reputation as a trusted consulting partner. We’re a go-to company for helping organisations of all sizes tackle hard engineering problems, improve delivery practices, modernise applications, and deliver or scale new products to market.
Whether we are building a product using AI or building an AI experience, we work on problems our clients aren’t able to solve themselves, drawing on our deep range of capabilities: software engineering, experience design, data and analytics, machine learning and AI.
About The Role
We are looking for a consultant who combines deep engineering capability with strong consulting and delivery skills.
This is a hands-on consulting role where you will lead the design and delivery of modern software and AI-enabled solutions across a variety of client environments. You’ll work across modern cloud-native application development, architecture and design, AI-assisted engineering practices and developer workflows, and building AI-enabled products and experiences.
As a lead consultant, you’ll be expected to lead technical conversations with clients, shape solutions under ambiguous conditions, guide delivery outcomes end-to-end, support and mentor engineers, and stay hands-on with architecture, coding and implementation.
You’ll thrive in this role if you enjoy solving hard problems, learning quickly, and helping clients move from uncertainty to clarity.
About You
You’re an experienced software engineer and technical consultant with broad exposure across modern technology ecosystems.
You’ve likely spent years working across different languages, frameworks, cloud platforms and delivery environments, giving you the adaptability to move between projects and solve unfamiliar problems quickly.
You’re also excited by the transformation AI is bringing to software engineering.
You have practical experience using AI tools to improve engineering productivity and delivery outcomes, and you understand how to responsibly integrate AI into real-world engineering workflows.
Beyond AI-assisted engineering, you also have commercial experience designing or developing AI-enabled applications using technologies such as LLM APIs and platforms, RAG, agentic workflows, prompt engineering.
You are comfortable operating in ambiguity, engaging directly with clients, facilitating technical discussions, and balancing pragmatism with engineering quality.
You bring a consulting mindset - listening deeply, asking thoughtful questions, influencing outcomes, and helping teams move forward effectively.
Tech Skills
12+ years of commercial software engineering experience
Strong full-stack engineering capability across modern back-end and front-end ecosystems, such as Java, C#/.net, Node / Typescript, Python, Go, Typescript/JavaScript, React, Next.js, Angular, Vue
Strong understand of modern software architecture and distributed systems
Experience designing and delivering solutions from concept through to production
strong understanding of testing, CI/CD, DevOps and engineering quality practices
Commercial experience with cloud-native platforms
Experience with IaC, containerisation and deployment automation
Commercial experience using AI tooling to improve software delivery and engineering workflows
Experience building or integrating AI-enabled applications
Practical experience with LLMs, RAG architectures, agentic workflows
Strong understanding of Agile and lean delivery practices, with experience shaping backlogs, defining milestones and delivering iteratively
Consulting Skills
Experience leading technical projects and engineering teams end-to-end
Strong client engagement and stakeholder management capability
Able to to facilitate workshops, discovery sessions and technical discussions
Able to shape solutions collaboratively with clients and internal teams
Comfortable balancing speed, quality and commercial outcomes
Experience contributing to pre-sales, estimation and solution proposals
Strong communication and presentation skills
Comfortable influencing technical and non-technical stakeholders
Able to navigate ambiguity and drive clarity
Strong systems thinking and problem-solving capability
Adaptable across enterprise and startup delivery environments
Passionate about mentoring, knowledge sharing and continuous improvement
Want to know more about this role, or think you've got what it takes? Apply now!
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