- Location
- Melbourne, 161 Collins Street, Level 5, Australia · Sydney
- Type
- Full-time
- Department
- Engineering
- Source
- Workday
Description
About the Centre for Advanced Data APAC
The Centre for Advanced Data (C4AD) is Accenture's specialist centre of excellence that sets the architecture standard for modern, AI-ready data estates across APAC, and mobilises the talent to deliver them at scale.
The C4AD operates across three core disciplines: Master Data Architecture, Knowledge Engineering, and Data Products. Every practitioner in the C4AD is expected to apply agentic and generative techniques as the default way of working, not as an add-on. The centre supports large-scale data and AI transformation programmes across the region, ranging from enterprise data modernisation to AI-ready platform builds.
Job Description
Join the Centre for Advanced Data APAC as an AI Engineer, where you will build and ship production-grade AI systems end-to-end across client engagements. You will design agent orchestration, build RAG pipelines, and develop LLM-based solutions for enterprise-scale deployment within large data modernisation programmes where agentic AI is a core part of the delivery.
You will work alongside Data Architects and Knowledge Engineers within the C4AD, taking the architectural direction and ontological foundations they set and turning them into working, production AI systems that perform reliably at enterprise scale.
Project Description / Key Responsibilities
- Build and ship production-grade AI systems end-to-end across client engagements, from initial design through to deployment and operation.
- Design and implement agent orchestration systems, including multi-agent pipelines, tool-calling workflows, ReAct-style agents, and human-in-the-loop control gates using frameworks such as LangGraph, AutoGen, or CrewAI.
- Build RAG pipelines that connect large language models to enterprise knowledge graphs, vector stores, and structured data sources reliably and at scale.
- Develop LLM-based solutions for enterprise deployment, including structured output generation, semantic search, and knowledge-augmented AI workflows grounded in the ontological foundations defined by Knowledge Engineers.
- Implement evaluation frameworks, guardrails, and observability tooling to ensure production AI systems are reliable, auditable, and safe in enterprise environments.
- Integrate AI capabilities into cloud-native data platforms (GCP, AWS, Azure) using services such as Vertex AI, Azure OpenAI, Amazon Bedrock, or Snowflake Cortex.
- Apply production software engineering practices, CI/CD, testing, version control, containerisation, to every system built and deployed.
Key Skills
- 3+ years of software or data engineering experience, with at least 1–2 years of hands-on applied AI and LLM engineering in a production delivery context, shipping systems, not building prototypes.
- Proven deep expertise building agentic AI systems, multi-agent orchestration, tool-use pipelines, and autonomous workflows with real-world reliability requirements.
- Strong Python engineering skills, including async programming, API integration, and production-quality code standards.
- Hands-on experience with LLM APIs (OpenAI, Anthropic, Google Gemini, AWS Bedrock) and agentic frameworks such as LangChain, LangGraph, AutoGen, or CrewAI.
- Proficiency with vector databases (Pinecone, Weaviate, pgvector, Qdrant) and strong command of RAG architecture patterns, including their failure modes and how to engineer around them.
- Experience with cloud AI/ML platforms: Vertex AI on GCP, Azure OpenAI and Azure ML, or Amazon Bedrock and SageMaker.
- Solid understanding of prompt engineering, structured output techniques, and LLM evaluation methodologies for production systems.
- Strong understanding of enterprise data platform fundamentals, pipelines, APIs, data contracts, and query patterns, sufficient to connect AI reliably to enterprise data.
- Knowledge of knowledge graph integration with LLMs, including GraphRAG and ontology-grounded generation, and the ability to consume ontological foundations provided by Knowledge Engineers.
- Familiarity with AI safety, responsible AI practices, and evaluation frameworks for high-stakes enterprise deployment.
- Industry experience in Financial Services, Government, Health, Energy, or Utilities sectors in APAC is highly regarded.
- Good communication skills and ability to learn quickly.
Benefits of working at Accenture:
· 18 weeks paid parental leave
· Long & short-term career break opportunities
· Structured career development program
· Local and international career opportunities.
· Certified as a Family Inclusive Workplace™
· Flexible Work Arrangements - centered around Accenture’s Truly Human ethos and our commitment to supporting the health and wellbeing of our people.
· We are proud to be in the top 3 of last year’s Diversity & Inclusion Index!
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All our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You’ll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
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About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement for Australia:
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 [email protected] 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
