AI Change Architect

Valont; Brisbane; Híbrido; AUD 120 000 - 160 000; Tempo integral

Resumo da oferta

Valont is seeking a hands-on AI transformation lead to work across acquired businesses from Brisbane in a hybrid setup. You will translate business needs into AI-enabled services, design practical workflows, and own adoption and rollout with operational leaders and engineers.

A focus on outcomes, change management and measurable value is essential for success. You will collaborate with CTO/CEO leadership, connect business teams with technical staff, and help embed new AI-enabled service models

Qualificações

• Experience delivering AI-enabled services within real businesses.
• Translate business needs into practical AI solutions.
• Proven track record in change management and adoption.

Responsabilidades

• Get inside the business with owners and teams to map workflows and data.
• Redesign processes from first principles before automation.
• Quantify value and define phased AI-enabled roadmaps.
• Build proofs of concept using configurable AI agents and automation.
• Provide clear requirements and acceptance criteria to engineers.
• Coordinate onboarding and rollout with domain experts.

Conhecimentos

AI strategy

Change management

Business transformation

Cross-functional collaboration

Ferramentas

Claude

ChatGPT

Cowork

Automation platforms

Descrição da oferta de emprego

Understand the business. Rethink the work. Make AI deliver.

Brisbane, Australia | Hybrid / embedded | Full-time

Reports to: CTO / CEO

About Valont:

Valont is an AI-native business services platform for small and medium businesses. We combine real-time business intelligence, AI-driven advisory, deep integrations and AI-delivered workflows to help owners understand their business and deliver the work, not just analyse it.

Part of Wattlestone, a Brisbane-based private investment firm, we acquire high-quality service firms, integrate them onto our proprietary AI platform and redesign how their services are delivered.

We are not building software that sits beside a service business. We are rebuilding the service business itself.

Why this role exists:

AI transformation takes more than technology. It requires understanding how a business really works, seeing what could change and bringing people with you.

That happens inside the business, not in a strategy presentation.

You will work with the businesses we acquire and Valont’s internal teams to understand their workflows and judgement, then turn that knowledge into practical AI-delivered services. You will connect the people doing the work with our technical team, staying accountable through testing, rollout and adoption.

This is a hands-on role at the intersection of business, AI and delivery. If you bring consulting or operational transformation experience, commercial judgement and practical AI skills, and want to own implementation rather than just make recommendations, this role is built for you.

What you’ll actually do:

• Get inside the business. Work with owners, advisors and operational teams through real inboxes, documents, spreadsheets, systems and exceptions, not just documented processes. Help move teams to shared systems while preserving business knowledge and customer history.
• Redesign from first principles. Start with customer outcomes and genuine constraints. Question why each step exists, remove unnecessary tasks and handoffs, and simplify what remains before automating.
• Turn opportunities into a practical plan. Quantify value across capacity, cost, service quality and growth. Agree priorities with operational and technical leaders, balancing impact, effort, risk and dependencies. Define future workflows, necessary human judgement and a phased plan that evolves with AI capabilities.
• Build and prove what you can. Use AI tools, configurable agents and automation to build proofs of concept and practical improvements. Test ideas yourself rather than sending every request to engineering.
• Translate between the business and technology. Give engineers clear requirements, real examples, exceptions and acceptance criteria. Explain technical choices and constraints in plain English.
• Be the first quality filter. Test real operating scenarios before rollout. Spot when something works technically but is confusing, incomplete or unsuitable for its users.
• Own implementation and change. Coordinate onboarding, training and rollout with operational leaders and domain experts. Surface changes to responsibilities and capacity early, address concerns and stay close until new ways of working are embedded.
• Close the loop and help shape the Valont way. Track adoption, service quality and realised benefits. Resolve issues and turn successful approaches into repeatable service models and implementation playbooks, improving them with each acquisition.

The mindset that matters:

• We’re building an autopilot, not a copilot. But putting an agent on every step of an outdated process is not transformation either.
• Start with the outcome, not the workflow you inherited. What does the customer need? How would we deliver it reliably if we designed the service today, with AI available from the start?
• Existing processes are evidence, not a blueprint. Some steps protect quality or manage risk; others compensate for disconnected systems, late information or old workarounds. Your job is to tell the difference.
• If a team asks for a faster reporting spreadsheet, understand the decision it supports. Surfacing an exception and triggering the right action might remove the spreadsheet and the weekly reporting task entirely.
• Remove what is unnecessary. Simplify what remains. Then automate where it adds value.
• Preserve the purpose of necessary controls, professional oversight and human approvals. Validate new approaches and handle sensitive business data responsibly.
• Success is not the number of agents deployed. It is delivering a better outcome with less work required in the first place.

The level of technical ability we’re looking for:

Strong, hands-on AI skills are essential.

• You use AI well beyond search, summaries and drafting emails. You can independently build and configure agents, create multi-step workflows, and test and refine their outputs. You can show concrete examples of how you have changed how work gets done.
• You are comfortable with tools such as Claude, ChatGPT, Cowork and agent or automation platforms: providing useful context, checking outputs and improving results. You can deliver straightforward solutions independently and recognise when engineering support is needed.
• Our technical team owns production software, architecture and complex integrations. You own business understanding, workflow design, readiness and adoption.
• Software engineering experience is a bonus, not a prerequisite. APIs, data flows, low-code automation, SQL, scripting or AI coding tools will help you go further. Practical AI capability, business judgement and the ability to lead change matter most.

You’ll thrive here if you…

• Have delivered meaningful change in consulting, operations, transformation or implementation, not just recommendations.
• Connect detailed process discovery with the commercial picture: cost, capacity, quality and customer experience.
• Earn trust by listening, respecting expertise and noticing unspoken concerns. You challenge processes without dismissing the people who run them.
• Adapt your language and approach across owners, domain experts, operational teams and engineers. You bring different perspectives together and know when to listen or challenge.
• Take ownership in ambiguity, make pragmatic decisions and stay involved when implementation gets messy.
• Bring curiosity, humility and sound judgement. You check AI-generated work and remain accountable for it.
• Ask, “Does this work need to exist?” before “How can we do it faster?” You can show how you have challenged assumptions, removed work or redesigned a process around the outcome.

Experience in professional services, SMBs, acquisition integration or change management is valuable. Your track record matters more than a particular job title or consulting firm.

What success looks like

• Teams trust you to understand and improve their work.
• Priority workflows become adopted AI-enabled services that simplify work for customers and teams.
• Engineering receives clear, validated problems rather than vague requests.
• Unnecessary tasks and handoffs disappear rather than just move to agents, without compromising quality or necessary controls.
• Each rollout strengthens the approach for the next business.

What’s in it for you

• Implementation, not just advice: see your ideas through inside businesses we own and measure the results.
• An AI-native environment: practical AI use is expected and supported, with room to experiment responsibly.
• Real technical backing: partner directly with our CTO and engineering team.
• Ownership and variety: tackle different businesses, workflows and commercial problems with senior leadership support.
• Room to grow: shape our approach as the portfolio expands, with competitive salary and long-term incentive potential.

Location:

Brisbane-based, with a hybrid working arrangement.

Expect meaningful time on-site with acquired businesses, flexibility to work remotely around it and some travel across the portfolio. Being close to the people and the work is central to this role.

If you want to make AI transformation work in real businesses, not just talk about it, we want to meet you.

Valont is committed to building a team that reflects the world we build for. All qualified applicants are considered regardless of background.