Senior Principal Digital Solutions Consultant

- We deliver the world’s most complex projects.
- Work as part of a collaborative and inclusive team .
- Enjoy a varied & challenging role.

Building on our past. Ready for the future

Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia.

Right now, we’re bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals and resources that society needs now.

We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects.

The Role

As a Senior Principal Digital Solutions Consultant with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc.

Purpose

As part of Worley’s Digital Transformation group, the Principal AI Solutions Lead will design and shape AI products and solutions that enable Worley’s most critical and high-priority projects. Working at the intersection of business, delivery and technology, the role will engage project and functional leaders to understand their challenges, identify where AI can create measurable value, and translate those opportunities into secure, scalable and responsible solutions across Generative AI, Agentic AI, machine learning and intelligent automation. The role will operate within Worley’s overarching enterprise architecture framework, working closely with Enterprise Architecture, the AI Centre of Excellence (AI CoE), cybersecurity, data governance and delivery teams to ensure every solution aligns with agreed architecture principles, standards, guardrails and governance, and can be reused and scaled across the enterprise.

Responsibilities

- Working within Digital Transformation group, partnering with project, business and functional leaders to shape AI products that support Worley’s critical and priority projects.
- Lead discovery and solution-shaping workshops to understand business challenges and assess AI opportunities.
- Design end-to-end AI products and solutions, including Generative AI, Agentic AI, machine learning, intelligent automation and knowledge-enabled applications, from concept and proof of value.
- Work closely with the Digital Factory to translate solution designs and proofs of value into production-ready AI products.
- Work within Worley’s overarching enterprise architecture framework, applying its principles, standards, reference architectures, guardrails and decision-making processes consistently to every solution design.
- Produce solution artefacts, including solution designs, target-state and transition views, architecture decision records and roadmaps, in line with enterprise architecture templates and governance requirements.
- Shape Agentic AI solutions covering orchestration, specialist agents, tool use, memory, human-in-the-loop approvals, least-privilege access, traceability and auditability.
- Guide model selection and routing, prompt and context engineering, retrieval, grounding and evaluation approaches, ensuring solutions meet agreed production-readiness thresholds for quality, safety, reliability and cost.
- Provide solution guidance across Amazon Bedrock, Azure AI Foundry and Azure OpenAI, UAIP and other approved platforms, making technology-agnostic decisions within enterprise standards.
- Align AI solutions with enterprise data platform, Lakehouse, integration, metadata, lineage, data-quality and knowledge-management strategies, minimizing unnecessary data movement across clouds.
- Partner with the AI CoE to contribute reusable assets, approved model catalogues, evaluation standards, delivery playbooks and communities of practice, feeding lessons from priority projects back into enterprise patterns.

About You

To be considered for this role it is envisaged you will possess the following attributes:

Education

- Bachelor’s degree in computer science, Artificial Intelligence, Data Science, Information Technology, Engineering or a related discipline, or equivalent relevant experience.
- A master’s degree in a relevant discipline is desirable.

Required experience and capabilities.

- 12–15+ years of experience delivering enterprise technology, data, analytics, cloud or AI solutions, including significant time in solution consulting, solution architecture or technical advisory roles.
- Proven experience designing and delivering enterprise Generative AI, Agentic AI, machine learning or intelligent-automation products from concept through production, ideally on business-critical or high-priority initiatives.
- Strong consulting capability, including leading discoveries, shaping use cases and business cases, and turning business problems into clear solution options and measurable outcomes
- Demonstrated experience working within an enterprise architecture framework such as TOGAF or equivalent, including architecture principles, standards, reference architecture, design authorities and architecture review processes.
- Strong knowledge of AWS, Microsoft Azure and Databricks AI and data services, with the ability to make technology-agnostic design decisions.
- Hands-on knowledge of RAG, enterprise search, knowledge assistants, AI copilots, vector retrieval, reranking, model serving, prompt engineering and Agentic AI.
- Solid understanding of LLM and model evaluation, including golden datasets, automated and human evaluation, LLM-as-a-judge approaches, regression testing and production monitoring.
- Strong understanding of foundation models, Responsible AI, model risk, AI assurance, security and production AI engineering.
- Knowledge of data platforms, Lakehouse, Data Warehouse, APIs, events, metadata, lineage, data quality, knowledge graphs and enterprise knowledge architecture.
- Working knowledge of Python, SQL, APIs, CI/CD, MLOps and LLMOps, sufficient to guide engineering teams and validate solution designs.
- Excellent stakeholder engagement skills, with the ability to influence senior leaders, communicate trade-offs and guide multiple product and delivery teams in an agile, federated environment.

Desirable experience and qualifications

- Experience with Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI or equivalent agent and orchestration frameworks.
- Experience with LLM evaluation and observability frameworks such as MLflow, Azure AI evaluation, Amazon Bedrock evaluation, LangSmith or equivalent capabilities.
- Experience in a digital transformation function or consulting practice, contributing to architecture review boards, AI governance forums, technology standards and enterprise reference architectures.
- Experience in engineering, energy, chemicals, resources, capital projects or another asset-intensive industry.
- AWS, Microsoft Azure, Databricks, TOGAF, machine learning, Generative AI or equivalent architecture certifications.

Moving forward together

We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation.

We’re building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard.

And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology.

Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.

Worley takes personal data protection seriously and respects EU and local data protection laws. You can read our full Recruitment Privacy Notice   Here .

Please note: If you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Worley.