Forward Deployed Engineer at Kinetic IT

Canberra, , Australia -

Full Time

Start Date

Immediate

Expiry Date

08 Oct, 26

Salary

0.0

Posted On

10 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, AI Engineering, TypeScript, React, Node.js, Python, C#, Java, .NET, LLMs, RAG, Agentic Systems, Cloud Computing, Product Management, Customer Communication, Enterprise Security

Industry

IT Services and IT Consulting

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. 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. 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. 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 customer's day, working with their stakeholders from frontline operators to executives, and choosing what's 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 https://forward-deployed-engineer.ai [https://forward-deployed-engineer.ai/] 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. * 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. * Zero to one in days. Discovery to first working demo in days, not quarters. Production software in the customer's environment — their data, their security review, their constraints. Everyone can see whether it's moving. * 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. * 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. KEEN TO BE CONSIDERED? Experience we're 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#, Java, .NET. 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. 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. * 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 considerations, including 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 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. 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: https://forward-deployed-engineer.ai [https://forward-deployed-engineer.ai/] You can learn more about our culture and crew online at https://kineticit.com.au/work-with-us/careers-at-kit/ [https://kineticit.com.au/work-with-us/careers-at-kit/].

Responsibilities

Identify high-value AI use cases by embedding within client operations to eliminate operational friction. Build, prototype, and productionize end-to-end AI-enabled systems and generalise them into reusable platform capabilities.