As a Lead AI Engineer, you will lead the design and implementation of multi-agent AI architectures, working closely with customers, software engineers, data scientists, and domain experts to deliver scalable, production-grade AI solutions. You will be responsible for technical design, architecture decisions, coding standards, and the successful implementation of complex AI systems. Key Responsibilities

Lead the design, development, and implementation of enterprise-scale multi-agent AI architectures. Translate complex business requirements into scalable AI solutions. Develop modular, maintainable, and high-quality code following software engineering best practices. Define and communicate architecture decisions and technical design considerations. Collaborate with cross-functional teams including customers, engineers, data scientists, and business stakeholders. Document solution architecture, algorithms, workflows, and implementation details. Design AI systems with a focus on performance, scalability, security, cost optimization, and accuracy. Must-Have Skills

Solid hands-on programming expertise in

Python . Experience with

PyTorch

and/or

TensorFlow . Strong knowledge and hands-on experience with

Google Cloud Platform (GCP) . Experience building applications using

Vertex AI , including: Agent Builder Search Conversational Agents Strong expertise in

Generative AI, Machine Learning, Deep Learning, and Agentic AI patterns . Experience designing and implementing

multi-agent systems . Hands-on experience with:



LangChain LangGraph LangSmith Ragas Experience building advanced

Retrieval Augmented Generation (RAG)

solutions, including Graph-based RAG. Expertise in implementing AI guardrails, responsible AI controls, and hallucination mitigation strategies. Experience in AI testing, evaluation frameworks (EvalOps), and solution optimization. Experience designing AI solutions for enterprise-scale deployment with performance, cost, and accuracy considerations. Preferred Technical Experience

Vertex AI Extensions FastAPI Pydantic Spanner Graph / GQL Chain-of-Thought (CoT) Engineering Agentic Observability Semantic Entity Mapping API development and integrations Nice to Have

Gradio or Streamlit Dialogflow CX or Gemini Enterprise CX GitHub, CI/CD, DevOps Cloud Run, GKE Pub/Sub Software Engineering & Architecture

Clean Architecture and SOLID principles OAuth2/OIDC, IAM, IAP Asynchronous programming and distributed workflows Application security and data privacy controls Experience with another programming language such as

Java, Go, C#, or TypeScript

in addition to Python LTM is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability or any other characteristic protected by applicable law. Watch the video: watch?v=5tTtIX92ipY

📌 Lead AI Engineer (Canberra)
🏢 LTM
📍 Canberra