Australia Applied AI Solution Engineer

About The Role Applied AI solution engineers are expected to work in small teams of Tomoro and client engineers to design, build and deploy AI applications, such as agents built around Large Language Models. As your experience and expertise in the role grows, this may extend to leading these teams, owning solutions end-to-end and advising clients in this space. The typical applications we build use existing closed or open‑source foundational models, potentially with some fine tuning. We generally do not need to train our own foundational models from scratch. Responsibilities Building AI‑powered solutions, particularly those involving large language models with our client partners. You’ll be hands‑on and will own design and build of such solutions. Regularly interacting with clients to understand their business challenges, goals, and requirements, and effectively communicating how AI solutions can address their needs. Providing technical guidance and leadership within the team, including mentoring junior engineers and contributing to team skill development. Working collaboratively with other teams within the company, including non‑technical teams, to ensure an integrated approach to AI solution development and implementation. Staying updated with the latest developments in AI, machine learning, and related technologies to continually enhance the quality of solutions offered. Building robust, trusted relationships with senior business and technical clients. We aren’t a company of body‑shop engineers – we constructively challenge our clients to help them become AI leaders in their field. Ensuring the reliability, effectiveness, and safety of AI solutions through rigorous testing and quality assurance practices. Upholding and actively contributing to ethical standards in AI development, including considerations for data privacy, bias minimization, and regulatory compliance. Assisting clients in understanding and effectively using AI solutions, and providing ongoing support and maintenance as needed. Requirements Indicators you’ll be a good fit Strong hands‑on experience of developing production‑grade solutions involvingBuilding Microservices (including scalable data pipelines using frameworks like Spark) Data technologies (Python, SQL) Large language models, fine tuning (closed & open source, OpenAI API) Solution design (mainly data applications using Python, SQL and other allied tech stack) Analytical problem solving Comfortable being client‑facingCommunication & translation: Excellent communication skills to effectively interact with clients, understand their needs and explain complex AI concepts in an accessible manner. Business acumen: Understanding of business processes and how AI solutions can be used to improve efficiency, reduce costs, or create new opportunities. Adaptable and self‑sufficientOperate independently and be flexible to work outside of your comfort zone. Passionate and positiveShare passion for AI technology and its power for good. Creative and curiousPro‑active self‑learning and openness to new ideas. Ethical and responsibleShow awareness of ethical considerations in AI, such as data privacy, bias in AI models, and the societal impact of AI technologies. Annual Salary Annual salary range of $,000 - $180,000 + Share Options Benefits Share Options> Generous holiday entitlement Private medical insurance Wellness plan Life Policy Employee Assistance Programme Pension Access to global exclusive discount & savings platforms And more Location Hybrid working policy. Depending on the client and project requirements, you should remain flexible and willing to travel to client offices up to three days a week. Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology Industries Professional Services #J-18808-Ljbffr