DescriptionAbout PractivPractiv is one of the fastest growing Data consultancies in ANZ, with a presence across Melbourne, Sydney, Auckland, and Wellington.
We are a Snowflake Premier Partner and also highly experienced cloud practitioners across all major cloud providers.We work on cutting-edge projects that combine cloud infrastructure, data engineering, and AI innovation.
As we continue to expand our AI capabilities, we're looking for talented professionals who are passionate about building practical, high-value AI solutions that make a real impact.The RoleWe're seeking an experienced AI Engineering Consultant to join our growing team.
This is a hands-on role focused on designing, building, and deploying secure, and valuable AI solutions.
We need someone that can deeply integrate AI into our clients' technology stacks to unlock business value.As a Practiv consultant you will join a team of passionate Data, Cloud & AI technologists who help deliver end-to-end technology solutions for our customers.
You'll analyse and understand a variety of business processes by asking the right questions, then automate or optimise them through AI.
You'll solve real problems for clients across different industries and sizes.If you are an AI engineer and enthusiast that can ship production-grade solutions and not just proof-of-concepts, this job is for you!
What You'll DoArchitect, build, and deploy AI solutions that solve real client business problems, involving a range of cutting edge technologies such as AI Agents, RAG, MCP ServersAnalyse business processes and identify opportunities for AI-driven automation and optimisationDevelop and maintain production-grade software using AI-assisted workflows and coding assistantsBuild and integrate APIs,



websites or applications of different typesEstablish developer experience patterns, prompt engineering standards and tooling that uplift teams of internal and external developersDeploy and manage solutions on cloud platforms following security best practicesManage projects from start to finish, tracking requirements, progress, budget, and dependenciesCollaborate with stakeholders to gather requirements, report on project status, and upskill client teamsRequirementsTechnicalSolid understanding of the AI tooling landscape: knowing when to rely on skills vs. prompt engineering vs. tools vs. model selectionStrong software engineering skills (the old-school way!) — proficient with Python and/or JavaScriptExperience with solution architecture and the ability to design end-to-end AI systemsHands-on experience with one or more LLM frameworks such as LangChain, LlamaIndex, or Google ADKExperience building and consuming APIs, with a reasonable understanding of authentication and authorisation (OAuth, API keys, token management)Understanding of the RAG (Retrieval-Augmented Generation) patternExperience with configuring and using MCP serversProficiency with AI coding assistants and an ability to leverage them for high-quality, rapid deliveryGeneral security principles applied to codebases and cloud environmentsSoftware engineering background with testing, code quality,



and algorithmic thinkingBasic DevOps awareness, enough to containerise, deploy, and monitor your AI solutions in productionExperience deploying and managing applications on at least one major cloud provider (AWS, GCP, or Azure)GeneralA genuine AI Enthusiast that can inspire both colleagues and clients to embrace recent ways of workingStrong project management skills: prioritisation, effort estimation, requirements gathering, scope and schedule managementProactive communication style — comfortable reporting progress to clients, raising blockers, and presenting technical concepts to non-technical stakeholdersCurious and proactive about learning new technologies, especially in the rapidly evolving AI spaceNice to Have, but Not RequiredExperience with containerisation and orchestration technologies such as KubernetesPrior experience working as a technical consultantFamiliarity and experience with GitOps principles and Infrastructure as CodeExperience with Google ADK (Agent Development Kit)In-depth understanding and experience with authentication and authorisation flows (OAuth, OIDC)Practical experience implementing RAG (Retrieval-Augmented Generation) solutionsBenefitsWhat We OfferCompetitive compensation packageHybrid work arrangementsOpportunity to work with leading technologies (Snowflake, Cloud Platforms, AI Platforms)Exposure to diverse projects across multiple industriesProfessional development and growth opportunitiesCollaborative team culture focused on innovation and continuous learningHow to ApplyIf you're excited about building AI solutions that solve real business problems and want to be part of a fast-growing consultancy, we'd love to hear from you.

📌 Ai Engineering Consultant (New South Wales)
🏢 Practiv
📍 New South Wales