Lead AI Engineer Sydney | Hybrid Working Profusion Group is proud to be partnering with a top bank to hire a Lead AI Engineer — supporting one of the bank’s most strategic transformation agendas. This is a rare opportunity to shape how AI and Generative AI are embedded at enterprise scale, driving innovation across core data platforms while ensuring safety, governance, and real-world impact. The Opportunity as a Lead AI Engineer, you will play a pivotal role in uplifting AI engineering capability and leading the delivery of production-grade GenAI solutions. You’ll operate at the intersection of engineering, data, and platform, setting technical direction and building scalable AI systems that integrate into a modern cloud ecosystem. This is not a research role—you’ll be hands-on designing, building, and deploying real, enterprise-grade AI applications that are secure, resilient, and cost-efficient. Work on enterprise-scale AI transformation within one of Australia’s most recognised financial institutions Build solutions that move beyond pilots into real production impact Influence how AI is safely adopted across a major organisation Collaborate with top-tier engineers, architects, and data professionals What’s In It For You? Flexible and hybrid working arrangements Career-defining opportunity in a high-growth AI capability area Access to employee benefits including banking discounts and wellbeing initiatives Ongoing learning and development in a cutting-edge technical domain What You’ll Be Doing Lead the end-to-end delivery of AI and GenAI use cases from discovery through to deployment and production support Design and build agentic and GenAI solutions using modern patterns such as RAG, tool use, and guardrails Define and evolve reference architectures, standards, and reusable frameworks across the AI engineering landscape Integrate AI into cloud-native data platforms, ensuring scalability, performance, and security Embed LLMOps/MLOps practices including CI/CD, evaluation, monitoring, and operational governance Partner with product, engineering, and risk teams to operationalise AI safely within the SDLC Drive capability uplift through mentoring, coaching, and engineering best practice What We’re Looking For Essential Experience Strong hands-on expertise with GenAI frameworks such as LangChain, AutoGen, DSPy or similar Proven track record delivering production GenAI solutions, including RAG, agent workflows, prompt engineering, and evaluation Demonstrated technical leadership across cross-functional teams Solid engineering background with Python and experience building scalable services and APIs Experience embedding AI into the software development lifecycle (CI/CD, testing, monitoring) Strong experience working in cloud environments (AWS, Azure, or GCP) Familiarity with containerisation (Docker, Kubernetes) Highly Regarded Financial services or regulated environment experience Exposure to AI governance, model risk, and security frameworks Experience in real-time/streaming AI systems