Job Description
The Role
Our client is looking to expand their emergingTechnetics AIdivision, they are looking for a pioneeringAI Automation & Solutions Engineerto help shape their internal capabilities and establish a scalable Managed AI Services offering for their clients.
If you want to move beyond AI theory and build real-world, production-grade solutions that deliver measurable business outcomes, this is your next career move.
This is a unique, hybrid role combiningAI engineering, business process automation, systems integration, and client consulting.
You will own the full AI lifecycle—from running discovery workshops and building rapid proofs-of-concept to deploying, securing, and maintaining production-ready AI agents and workflows.
You will make an impact in two key areas:
Internal Transformation:Identify inefficiencies within our client and apply AI and automation technologies to boost their own productivity and scalability.
Client Delivery:Act as a trusted advisor to external clients, helping them assess AI maturity, design tailored AI roadmaps, and implement secure, automated systems.
Key Responsibilities
AI & LLM Development:Design, build, and deploy LLM-powered AI agents, internal assistants, and copilots using RAG, tool calling, and workflow orchestration.
Process Automation & Integration:Architect and build automated workflows connecting business platforms (Microsoft 365, CRM, ERP, PSA, RMM) via APIs, webhooks, and automation tools.




Consulting & Discovery:Facilitate client workshops, evaluate AI readiness, and translate complex technical concepts into explicit business language.
Governance & Security:Help establish responsible AI policies, ensuring data privacy, access controls, and risk mitigation across all solutions.
Managed AI Services:Support the ongoing monitoring, optimization, and continuous improvement of deployed AI agents and integrations.
What We Are Looking For (Essential Criteria)
Proven Delivery Experience:You have professional experience designing, building, deploying, and maintaining production-grade AI or automation solutions (beyond just playing with API tools).
Automation Frameworks:Hands-on experience with tools likePower Automate, n8n, or Make.
AI & LLM Knowledge:Deep familiarity with generative AI, prompt engineering, and platforms like ChatGPT, Microsoft Copilot, and Claude.
Consultative Mindset:Exceptional communication skills with the ability to bridge the gap between technical details and business value.
Experience with Microsoft Azure / Azure AI, Copilot Studio, and Microsoft Graph API.
Familiarity with vector databases, embeddings, and CI/CD deployment practices.
Industry certifications in Microsoft, Azure, AI, automation, or cybersecurity.
Tertiary qualification in Computer Science, Software Engineering, or a related field
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📌 Ai/Automation Engineer (Melbourne)
🏢 Pathfinder Recruitment
📍 Melbourne