Our client is looking to expand their emerging

Technetics AI

division, they are looking for a pioneering

AI Automation & Solutions Engineer

to 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. The Role This is a unique, hybrid role combining

AI 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 transparent 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 like

Power 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 Be careful - Don’t provide your bank or credit card details when applying for jobs. Don't transfer any money or complete suspicious online surveys. If you see something suspicious, report this job ad .

📌 AI Automation (Melbourne)
🏢 Pathfinder Recruitment
📍 Melbourne