Job Description
The Role n
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.
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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.
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You will make an impact in two key areas:
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Internal Transformation:
Identify inefficiencies within our client and apply AI and automation technologies to boost their own productivity and scalability.
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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 n
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AI & LLM Development:
Design, build, and deploy LLM-powered AI agents, internal assistants, and copilots using RAG, tool calling, and workflow orchestration.
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Process Automation & Integration:
Architect and build automated workflows connecting business platforms (Microsoft 365, CRM, ERP, PSA, RMM) via APIs, webhooks, and automation tools.
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Consulting & Discovery:
Facilitate client workshops, evaluate AI readiness, and translate complex technical concepts into explicit business language.
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Governance & Security:
Help establish responsible AI policies, ensuring data privacy, access controls, and risk mitigation across all solutions.
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Managed AI Services:
Support the ongoing monitoring, optimization, and continuous improvement of deployed AI agents and integrations.
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What We Are Looking For (Essential Criteria) n
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Proven Delivery Experience:
You have professional experience designing, building, deploying, and maintaining production-grade AI or automation solutions (beyond just playing with API tools).
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Automation Frameworks:
Hands-on experience with tools like
Power Automate, n8n, or Make
.
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AI & LLM Knowledge:
Deep familiarity with generative AI, prompt engineering, and platforms like ChatGPT, Microsoft Copilot, and Claude.
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Consultative Mindset:
Exceptional communication skills with the ability to bridge the gap between technical details and business value.
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Experience with Microsoft Azure / Azure AI, Copilot Studio, and Microsoft Graph API.
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Familiarity with vector databases, embeddings, and CI/CD deployment practices.
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Industry certifications in Microsoft, Azure, AI, automation, or cybersecurity.
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Tertiary qualification in Computer Science, Software Engineering, or a related field
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📌 Ai/Automation Engineer (Melbourne)
🏢 Pathfinder Recruitment
📍 Melbourne