Supply and Engineering Data & AI Solution Architect

Lead client discovery, executive briefings, and technical deep-dives — translating the same solution across C-suite, operations, engineering, and IT architecture audiences without losing substance.

Facilitate stakeholder workshops to surface pain, align feasibility, prioritise use cases, and leave a clear path to pilot or mobilisation.

Shape pursuits and proposals (RFI/RFP, competitive tenders, solution plans): overlay proven reference patterns onto the client's named systems, processes, vocabulary, and quantified pain — never present a generic case as if it were theirs.

Translate operational and commercial strategy into a technical vision, defining functional and non-functional requirements for performance, reliability, auditability, safety, and cost.

In collaboration with your colleagues, translate your technical visions back into quantified business value cases for C-suite and executive audiences, connecting investment to measurable operational outcomes.

Architect multi-agent systems (orchestration, tool-calling, plan-and-execute, grounding, evaluation) with explicit human-in-the-loop and audit trails where operators must retain control.

Combine agentic techniques with classical methods where they belong: LP/MIP and operations-research optimisers, constraint solvers, forecasting and classical ML, simulation, knowledge graphs, and retrieval-augmented generation.

Define the seams between agents, optimisers, and human decision-makers — when the system decides, when it recommends, and when a coordinator or engineer must approve.

Drive build-vs-buy and technology selection for AI and decision platforms.

Architect end-to-end data and context layers for industrial and supply-chain environments, including grounded retrieval and knowledge modelling — spanning cloud, edge, and OT environments including historian systems, industrial data architectures, and the data latency and protocol constraints (OPC-UA, Modbus, DNP3) that govern real-time operational technology.

Elicit and codify hard, soft, and dynamic operational constraints with domain SMEs until plans and recommendations are executable in the real operation.

Frame coupled, multi-domain decision problems as connected systems (for example yard ↔ rail ↔ crew, or commercial demand ↔ marine/ops supply) rather than siloed point tools.

Separate what is proven, assumed, and still to be confirmed; rebuild value cases on the client's own data and pain, not on reference-client results.

Produce and own authoritative solution artefacts: architecture blueprints, decision frameworks, overlay crosswalks, sequence designs, and Architectural Decision Records (ADRs).

Independently design and deliver proof-of-concept prototypes that validate architectural decisions with clients and delivery teams.

Drive frontier technology from pilot to scaled operational deployment — collaboratively defining post-go-live operating models, governance structures, and workforce capability requirements that ensure AI and digital systems remain operational and continue delivering value after handover.

Ensure consideration and coordination with auxiliary Accenture teams to design and deliver solutions for sovereign, regulated, or restricted-access environments — including air-gapped deployments, OT cybersecurity architecture, and data sovereignty requirements for Defence, critical infrastructure, and government clients.

Integrate autonomous systems, robotics, and physical AI into industrial solution architectures — understanding how AI decisions translate into physical action in field, plant, and asset environments, and designing the control, safety, and audit layers that responsible deployment requires.

Operate as a capability lead within a matrixed, multi-discipline practice — maintaining active interlocks with digital engineering, value consulting, and industry go-to-market teams, and contributing to integrated solutions that span capability domains rather than individual offerings.

Lead and mentor cross-functional Supply Chain and Engineering Data & AI teams (data, engineering, industry SMEs, change) on architectural intent, client standards of evidence, and engagement craft.

Build and grow the Supply Chain and Engineering Data & AI offering: develop capabilities, coach practitioners, and contribute reusable solution patterns and reference architectures back into the practice.

Continuously research and integrate emerging agentic and decision-intelligence patterns while retaining judgement on when classical techniques remain the better tool.

Bachelor's Degree or equivalent (Engineering, Physical Sciences, Computer Science, Operations Research, or related). Advanced degree preferred.

Accenture is a leading global professional services company that helps organisations build their digital core, optimise operations, accelerate growth, and create value at scale. We combine deep industry expertise with leadership in cloud, data and AI to drive reinvention for our clients.

You’ll be part of a global network of experts, working on some of the most complex and exciting transformations across industries.

At Accenture, we recognise that our people are multi-dimensional. We are committed to creating an environment where everyone can bring their authentic selves to work and have equal opportunity to succeed. We encourage applications from all backgrounds and are committed to removing barriers across the recruitment process.

If you require adjustments to the recruitment process or have a preferred communication method, please let us know.

We offer flexible working, career development opportunities, and access to a global ecosystem of leading technologies and clients—so you can build a career that aligns with your ambitions.

At Accenture, we recognize that our people are multi-dimensional, and we create a work environment where all people feel like they can bring their authentic selves to work, every day.

Our unwavering commitment to inclusion and diversity unleashes innovation and creates a culture where everyone feels they have equal opportunity. Our range of progressive policies support flexibility in ‘where’, ‘when’ and ‘how’ our people work to ensure that Accenture is an organisation where you can strive for more, achieve great things and maintain the balance and wellbeing you need.

We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email exectalent@accenture.com and cite the relevant Job Number, or contact us on +61 2 9005 5000.

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At Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work. As part of our talent strategy, we hire and develop people who have different backgrounds, different perspectives and different lived experiences. These differences ensure that we have and attract the cognitive diversity to deliver a variety of perspectives, observations and insights which are essential to drive the innovation needed to reinvent, and we hold our leaders accountable for ensuring we have the most innovative and talented people in our industry.

We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email exectalent@accenture.com and cite the relevant Job Number, or contact us on +61 2 9005 5000 . Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement