Job Description

We have four founding Forward Deployed Engineer roles open in Kinetic IT's newly formed AI Engineering & Platforms division. These are the first AI Product Engineering roles in the team - you'd be building it from scratch, with frontier AI at your fingertips and 26 years of Kinetic IT customer trust behind you from day one.

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Embedded inside a client's operation, you'll sit next to the people who do the work and find the friction that stands between skilled people and their best work: the manual reconciliations, the status chased across half a dozen systems. Then you'll make the frictions disappear - working software shipped into the customer's environment in days, not quarters - and you'll sit next to the people using it and watch the three-hour task become three minutes. The brief, in four words: find friction, drive value.

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Nobody hands you a spec; finding what's worth building is the job . You'll surface the use cases that are both valuable and critical, stand-up proofs of concept fast, and let impact decide - the winners move into production, with the rest of Kinetic IT behind you.

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These are senior, high-ownership roles: autonomy, ownership, and exposure. The work covers:

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- Discovering and framing high-value AI use cases from inside the operation - living the customer's day, working with their stakeholders from frontline operators to executives, and choosing what's worth building.
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- Building AI-enabled systems end-to-end - agentic systems, RAG, automation workflows, APIs and integrations - using frontier models across Azure, AWS and Google Cloud, deployed into whatever stack the customer already runs. No tech religion: The tech serves the outcome - never the other way around.
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- Prototyping, testing and iterating quickly, then hardening what proves value - balancing security, reliability, usability, cost and speed to value throughout.
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- Productising what you learn - driving adoption (training teams, reshaping workflows around the new capability), then generalising what worked into reusable patterns, accelerators and platform capability - so value delivered at one customer becomes value delivered at scale.
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You can read more and interact with our website dedicated to this work at

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WEIGH THIS HONESTLY BEFORE APPLYING
The right person reads this list and leans in. If it reads as a burden,



that's genuinely useful information for both of us - and finding out now is the best possible outcome.

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- Travel is real and national. Roughly a week at a time on site with your account, multiple times a quarter, more around go-lives - wherever the customer's operation runs. When you're not with your customer, there's real flexibility - we care about the value you drive, not where you sit.
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- Zero to one in days. Discovery to first working demo in days, not quarters. Production software in the customer's workplace - their data, their security review, their constraints. Everyone can see whether it's moving.
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- The outcome is yours. You own the outcome at the account end-to-end - from discovery through build, production, and adoption. You'll be backed by platform, security, account and leadership support, but you'll own the outcome from discovery through build, production and adoption.
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- Trust is the asset. Kinetic IT has spent twenty-six years earning trust inside its customers' operations. Everything we ship must enhance that trust - never compromise it. You'll earn your own the same way it was built: by delivering, reliably, inside someone else's critical environment.
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KEEN TO BE CONSIDERED? Experience we're looking for includes:

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- Strong software engineering fundamentals: you can architect, build and ship production systems alone, across the stack, in unfamiliar environments. We default to TypeScript, React, and Node to move fast - and we meet customers wherever they already run: Python, C#, Java, .NET. Comfort in enterprise stacks like Microsoft and ServiceNow is a big plus.
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- Hands-on depth with modern AI - LLMs, agents, retrieval, evals - and the judgement to tell the thing that demos well from the thing that actually works in production.
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- Value-first judgement - no tech religion. You're genuinely excited by the frontier and fluent in the latest tooling - and just as happy solving the problem with something vanilla, or in a stack that wasn't your first choice, when that's what delivers the customer's outcome fastest.
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- Evidence of shipped outcomes under ambiguity. Not projects - outcomes:



something that worked, that mattered to someone, that you drove against resistance.
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- An instinct for productisation. You spot the reusable capability behind the specific fix, and you build so the next deployment is faster than the last.
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- Confidence in customer-facing communication: you can support discovery, run workshops, explain technical options, hold a room of senior executives and earn trust with frontline operators - in the same day. Genuine, not salesy.
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- A good understanding of enterprise data, identity, security and governance considerations, including secure data access, privacy, observability, guardrails and human-in-the-loop controls.

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ABOUT KINETIC IT
AI Engineering & Platforms is a newly formed division within Kinetic IT, working in partnership with our strategy, change management, commercial and account teams. The division looks at everything through one lens - customer value: value first, value fast, value at scale - with frontier AI and serious engineering behind it, never in front of it.

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- Value first: we start with the customer problem, not the technology. Every build is judged by the outcome it delivers - cycle time reduced, backlog cleared, cost removed, risk lowered or hours returned to frontline teams.
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- Value fast: FDEs embed at one customer, find the problem that matters and build a working solution into their environment - narrow, safe, observable and useful first, hardened next.
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- Value at scale: what generalises becomes shared platform capability, so value delivered for one customer becomes faster, stronger and more repeatable for the next.
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That is the role of AI Engineering & Platforms: take Kinetic IT's deep customer trust, pair it with frontier AI and serious engineering, and turn it into practical, measurable operational value - delivered safely, quickly and at scale.

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HOW TO APPLY

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Apply with two things:

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- Proof you build : GitHub, a product, a demo, an architecture note, a shipped system - or an anonymised artefact if your work is confidential.
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- One outcome story (half a page): what was broken, who it hurt, the resistance you faced, what you shipped, what changed for the people using it, and what number moved. Specifics over polish.
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Click 'Apply' or direct via our the website:

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You can learn more about our culture and crew online at .

📌 Forward Deployed Engineer (New South Wales)
🏢 2021 Kinetic IT
📍 New South Wales