Delivery Centric is seeking an experienced Lead Generative AI / Agentic AI Engineer to design and deliver scalable, production-ready AI solutions for enterprise environments.
The role will focus on multi-agent AI architectures, advanced RAG, Generative AI, Machine Learning and Google Cloud Platform, with strong hands-on expertise across
Vertex AI and modern AI engineering frameworks.
Key Responsibilities
- Design, develop and implement
multi-agent AI solutions for enterprise use cases.
- Lead technical solution design, architecture and implementation discussions.
- Design and develop advanced
RAG and agentic AI solutions using appropriate frameworks and technologies.
- Build scalable, production-ready AI applications and services using
Python and GCP.
- Leverage Vertex AI capabilities including Agent Builder, Search and conversational AI services.
- Develop and integrate APIs and AI services across enterprise applications and data platforms.
- Implement AI solutions with a focus on
accuracy, performance, scalability, reliability and cost optimisation.
- Apply responsible AI practices including
guardrails, hallucination mitigation, testing, evaluation and observability.
- Collaborate with customers, engineers, data scientists and other technical stakeholders.
- Document solution architecture, technical designs, algorithms and implementation approaches.
- Contribute to software engineering standards including code quality, testing, version control and CI/CD.
Must-Have Skills
- Strong hands-on Python development experience.
- Strong experience with Google Cloud Platform (GCP).
- Hands-on experience with
Vertex AI, including Agent Builder, Search and conversational AI capabilities.
- Strong knowledge of Generative AI, Machine Learning, Deep Learning and Agentic AI patterns.
- Experience designing and implementing
multi-agent architectures.
- Strong experience building
advanced RAG solutions.
- Hands-on experience with one or more of
LangChain, LangGraph and LlamaIndex.
- Experience with AI evaluation and observability tools such as
Ragas and LangSmith.
- Hands-on experience with
PyTorch and/or TensorFlow.
- Strong understanding of
responsible AI, guardrails, hallucination mitigation, testing and evaluation frameworks.
- Experience designing AI solutions for
scale, performance, accuracy and cost optimisation.
- Strong software engineering practices including
API integration, testing, code quality and optimisation.
Nice-to-Have Skills
-
BigQuery, Dataflow and Cloud SQL.
-
Cloud Run, GKE, Pub/Sub and Cloud Tasks.
-
Cloud Build and Artifact Registry.
-
Dialogflow CX or Gemini Enterprise CX.
-
FastAPI and Pydantic.
- Experience with Graph-based RAG.
-
Gradio or Streamlit.
- Experience with GitHub, DevOps and CI/CD.
Key Skills
Python | GCP | Vertex AI | Generative AI | Agentic AI | Multi-Agent Architecture | RAG | LangChain | LangGraph | LlamaIndex | LangSmith | Ragas | PyTorch | TensorFlow | Responsible AI
How to Apply
Ready to take on a Lead AI Engineer role in Australia (Remote) with Delivery Centric? Apply now to join a team that delivers excellence and realises value for its clients.