This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineering Lead based in Australia.
This is a unique opportunity for an experienced AI leader to combine hands-on technical expertise with strategic engineering leadership in a fast-evolving environment. The role focuses on designing and delivering cutting-edge AI solutions while establishing best practices that drive excellence across multiple projects and teams. You will work closely with engineers, business stakeholders, and clients to transform complex AI concepts into practical, high-impact applications. From generative AI and machine learning systems to modern cloud-based architectures, you will help shape the direction of innovative technology initiatives. The position offers significant influence over technical standards, solution design, and team development. Ideal candidates are passionate about emerging AI technologies, mentoring others, and building scalable systems that deliver measurable business value.
Accountabilities
- Lead, mentor, and develop a high-performing AI engineering team while fostering a culture of innovation, collaboration, and technical excellence.
- Serve as the primary technical authority for AI initiatives, providing guidance on architecture, implementation strategies, and engineering best practices.
- Design and deliver production-ready AI solutions, including machine learning systems, generative AI applications, retrieval-augmented generation (RAG) platforms, and agent-based workflows.
- Translate complex technical concepts into clear recommendations and actionable insights for both technical and non-technical stakeholders.
- Advise clients and internal teams on AI roadmaps, solution design, technology selection, and delivery strategies.
- Establish and promote standards for AI-first software development, cloud deployment, code quality, security, scalability, and operational excellence.
- Oversee the successful execution of multiple AI projects, ensuring high-quality delivery and alignment with business objectives.
- Evaluate emerging technologies and identify opportunities to enhance products, services, and engineering practices.
- Collaborate closely with cross-functional teams to ensure efficient deployment, adoption, and ongoing optimization of AI solutions.
Requirements
- Extensive hands-on experience designing, building, and deploying AI and machine learning solutions in production environments.
- Strong proficiency in Python and modern AI frameworks, tools, and libraries.
- Proven experience developing large language model (LLM) applications, retrieval-augmented generation (RAG) systems, AI agents, and AI-driven microservices.
- Familiarity with technologies such as LangChain, LlamaIndex, vector databases, PyTorch, TensorFlow, Docker, Kubernetes, and cloud platforms including AWS, Azure, or Google Cloud.
- Solid understanding of MLOps, LLMOps, CI/CD pipelines, AI observability, model monitoring, performance optimization, latency management, and cost control.
- Demonstrated success leading, mentoring, or managing engineering teams in complex technical environments.
- Experience designing scalable, secure, and maintainable cloud-based architectures.
- Strong consulting, stakeholder management, and client-facing communication skills.
- Ability to explain technical trade-offs and strategic decisions to audiences with varying levels of technical expertise.
- Passion for continuous learning and staying current with advancements in artificial intelligence and software engineering.
Benefits
- Fully remote work environment offering flexibility and work-life balance.
- Opportunity to lead innovative AI initiatives using the latest technologies and methodologies.
- Significant influence on technical strategy, engineering standards, and organizational growth.
- Exposure to diverse client engagements and complex AI challenges across industries.
- Collaborative and highly skilled engineering culture focused on innovation and continuous improvement.
- Professional development opportunities, including exposure to emerging AI technologies and leadership responsibilities.
- Career advancement potential within a rapidly growing AI-focused organization.
- Dynamic and entrepreneurial environment that encourages ownership, creativity, and impact.
- Competitive compensation package based on experience and expertise.
- Opportunity to work on transformative projects shaping the future of AI-driven solutions.