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
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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 setting.
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KEEN TO BE CONSIDERED?
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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 quick — 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
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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 rapid: FDEs embed at one customer, find the problem that matters and build a working solution into their setting — 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

-with-us/careers-at-kit/.
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📌 Forward Deployed Engineer (New South Wales)
🏢 Kinetic IT
📍 New South Wales