Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.
Our lead AI engineer role plays a key role in enabling Worley's digital transformation by designing, prototyping, and scaling AI-powered solutions that enhance engineering workflows, automate knowledge-driven processes, and unlock measurable business value across the project delivery lifecycle. This role bridges deep engineering domain expertise and advanced AI/ML capabilities, translating complex engineering data (e.g., lifecycle data, technical documentation, and standards) into intelligent, production-ready systems.
Key responsibilities include:
AI solution design & architecture
Rapid MVP development → scaling → delivery
Engineering workflow transformation
Product, value, and business enablement
MLOps, evaluation, and responsible AI
Stakeholder collaboration & mentorship
Skills and experience required:
Bachelor's degree in engineering, data science, computer science, or related discipline
4+ years of experience delivering AI/ML or GenAI solutions in production or near-production environments
Proven experience designing and implementing:
RAG architectures
Agentic workflows and AI copilots
Strong proficiency in Python and modern AI frameworks (e.g., PyTorch, LangChain or equivalent)
Experience with cloud platforms and MLOps practices (CI/CD, Docker, MLflow or equivalent)
Solid understanding of system architecture patterns (APIs, microservices, event-driven systems)
Proven ability to translate complex engineering or business problems into scalable AI solutions with measurable impact
Demonstrated ability to deliver AI solutions that drive measurable improvements in engineering productivity, quality, or efficiency
Strong communication skills with ability to work across technical and business teams
Skills and experience preferred:
Masters degree in AI-related discipline
Experience applying AI within engineering, energy, or industrial environments
Knowledge of engineering workflows and project delivery processes (e.g., PEPs, MDRs)
Experience integrating AI into enterprise platforms (e.g., SharePoint, APIs, data platforms)
Exposure to AI evaluation frameworks, LLMOps, or governance practices
Experience with computer vision or advanced analytics
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.