Benefit from a hybrid working arrangement if you live within 80 km to the office in Tustin, or work fully remote if you live further afield, with occasional visits to the office or to customers. About the role: The AI Integration Lead is responsible for enhancing the engineering team's productivity through the strategic use of AI. This role will drive the integration of AI into product development, ensuring that AI technologies are leveraged to optimize internal engineering processes and enhance product capabilities. The AI Integration Lead will play a pivotal role in defining product roadmaps, prototyping new concepts, and aligning development with market trends and customer needs. Key Responsibilities Lead the integration of AI technologies into product development and internal engineering processes. Develop and prototype new product concepts leveraging AI and data science. Define and align product roadmaps with customer needs and market trends. Evaluate and integrate emerging AI technologies to enhance product capabilities. Build and maintain robust MLOps pipelines for scalable and reliable AI solutions. Collaborate with cross-functional teams to translate data insights into business value. Mentor and lead a team of data scientists and product developers. Essential Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. PhD in a relevant field is a plus. Essential Experience 5 years of experience in AI, machine learning, or data science roles. Proven track record of developing and launching successful data-driven products, ideally within a SaaS or enterprise software environment. Experience in building and maintaining MLOps pipelines and working with cloud computing platforms (e.g., AWS, Azure, GCP). Familiarity with ERP systems and the discrete manufacturing industry is preferred. Experience in leading and mentoring teams of data scientists and product developers. Skills and Knowledge Proficiency in programming languages such as Python, R, or Java. Deep understanding of machine learning, deep learning, and other AI techniques. Experience with data engineering tools and frameworks. Strong knowledge of cloud computing platforms and MLOps practices. Proficiency in programming languages such as Python, R, or Java. Deep understanding of machine learning, deep learning, and other AI techniques. Experience with data engineering tools and frameworks. Strong knowledge of cloud computing platforms and MLOps practices. Proficiency in programming languages such as Python, R, or Java. Deep understanding of machine learning, deep learning, and other AI techniques. Experience with data engineering tools and frameworks. Strong knowledge of cloud computing platforms and MLOps practices. Proficiency in programming languages such as Python, R, or Java. Deep understanding of machine learning, deep learning, and other AI techniques. Experience with data engineering tools and frameworks. Strong knowledge of cloud computing platforms and MLOps practices. Core Competencies Customer-Centric Mindset Results-Driven Approach Strategic Thinking & Decision-Making Team Leadership & Collaboration Adaptability & Innovation Product Innovation and Development: Develop and launch successful data-driven products. Rapidly prototype and iterate on new product concepts, leveraging data science and AI to enhance core software functionality. Define product roadmaps aligned with customer needs and market trends. Data Science and AI Expertise: Apply machine learning, deep learning, and AI techniques to solve complex business problems. Evaluate and integrate emerging AI technologies. ERP and Manufacturing Domain Knowledge: Optimize manufacturing processes using data. Improve supply chain efficiency and enhance customer experience. MLOps and Data Engineering: Build and maintain MLOps pipelines. Ensure scalability and reliability of AI solutions. Rapid Prototyping and Experimentation: Design and conduct experiments to evaluate new product features and AI models. Iterate quickly based on data insights and customer feedback. Commercial Awareness: Translate data insights into business value. Work closely with product management and sales teams. Team Leadership and Collaboration: Lead and mentor a team of data scientists and product developers. Foster strong communication and collaboration within cross functional teams. Why Join Us? Be part of a cutting-edge team dedicated to revolutionizing product development through AI. Work on industry-leading projects, collaborate with top professionals, and drive meaningful innovation in an agile, forward-thinking environment. Hybrid & Remote Working Benefits - Hybrid setup for candidates within 80 km of Tustin, CA. - Fully remote options for candidates further afield with occasional office or customer visits. - Competitive salary and an opportunity to work on high-impact AI initiatives. This is a permanent FTE opportunity, and visa sponsorship is not available