Forward Deployed Engineer
Job Summary
We havefour founding Forward Deployed Engineer rolesopen in Kinetic ITs newly formed AI Engineering & Platforms division. These are the first AI Product Engineering roles in the team youd be building it from scratch with frontier AI at your fingertips and 26 years of Kinetic IT customer trust behind you from day one.
Embedded inside a clients operation youll 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 youll make the frictions disappear - working software shipped into the customers environment in days not quarters - and youll 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.
Nobody hands you a spec; finding whats worth buildingis the job. Youll 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.
These are senior high-ownership roles: autonomy ownership and exposure. The work covers:
- Discovering and framing high-value AI use cases from inside the operation living the customers day working with their stakeholders from frontline operators to executives and choosing whats worth building.
- 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.
- Prototyping testing and iterating quickly then hardening what proves value balancing security reliability usability cost and speed to value throughout.
- 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.
You can read more and interact with our website dedicated to this work at
WEIGH THIS HONESTLY BEFORE APPLYING
The right person reads this list and leans in. If it reads as a burden thats genuinely useful information for both of us and finding out now is the best possible outcome.
- 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 customers operation runs. When youre not with your customer theres real flexibility we care about the value you drive not where you sit.
- Zero to one in days.Discovery to first working demo in days not quarters. Production software in the customers environment their data their security review their constraints. Everyone can see whether its moving.
- The outcome is yours.You own the outcome at the account end-to-end from discovery through build production and adoption. Youll be backed by platform security account and leadership support but youll own the outcome from discovery through build production and adoption.
- 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. Youll earn your own the same way it was built: by delivering reliably inside someone elses critical environment.
KEEN TO BE CONSIDERED Experience were looking for includes:
- 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# . Comfort in enterprise stacks like Microsoft and ServiceNow is a big plus.
- 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.
- Value-first judgement no tech religion.Youre 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 wasnt your first choice when thats what delivers the customers outcome fastest.
- Evidence of shipped outcomes under ambiguity.Not projects outcomes: something that worked that mattered to someone that you drove against resistance.
- 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.
- 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.
- A good understanding of enterprise data identity security and governance considerationsincluding secure data access privacy observability guardrails and human-in-the-loop controls.
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.
- 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.
- 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.
- Value at scale:what generalises becomes shared platform capability so value delivered for one customer becomes faster stronger and more repeatable for the next.
That is the role of AI Engineering & Platforms: take Kinetic ITs 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.
HOW TO APPLY
Apply with two things:
- Proof you build:GitHub a product a demo an architecture note a shipped system or an anonymised artefact if your work is confidential.
- 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.
Click Apply or direct via our the website:
You can learn more about our culture and crew online at Experience:
IC
About Company
An Australian-owned IT service provider of adaptive technology solutions, harnessing human intelligence & driving meaningful change across organisations.