• Lead key areas of the Hitachi iQ and iQ Studio portfolio • Manage AI infrastructure and platform offerings • Drive end-to-end product ownership • Contribute to and execute against the product roadmap • Define and deliver AI data pipelines • Work directly with customers and field teams • Collaborate with Engineering, Sales/Marketing, and Alliances teams

• Embed directly with clients to gather requirements, translating ambiguous operational challenges into concrete technical architectures and delivering high-impact, AI-driven solutions with extreme ownership. • Train and deploy custom AI agents to prevent fraud and automate complex fincrime workflows across a diverse portfolio of use cases. • Utilize advanced prompt engineering, fine-tuning, and rigorous evaluation frameworks to continuously optimize AI agent performance, ensuring high accuracy, safety, and reliability. • Champion an AI-first approach across internal teams and client engagements, demonstrating the tangible business impact of advanced machine learning interventions. • Establish and evolve our AI risk metrics, the supporting datasets, and the evaluation pipelines used to measure the causal impact of deployed agents. • Collaborate tightly with internal engineering and product teams to scale custom models into production, ensuring seamless integration and optimized operational performance.

• Design, develop, and maintain both front-end interfaces and backend services with AI capabilities • Create and manage RESTful APIs and integrate AI services such as LLMs, embeddings, and document parsing tools • Extract, transform, and analyze large datasets to enhance product features and user experience • Implement highly optimized machine learning pipelines with quantized models for legacy hardware • Ensure high code quality through rigorous testing, code reviews, and debugging • Proactively solve technical issues and contribute to all phases of the development lifecycle • Stay updated with emerging technologies and incorporate them into our operations where beneficial

• Integrate AI solutions into existing business processes and workflows • Identify high‑impact AI opportunities to improve efficiency and streamline operational delivery • Track, measure, and report efficiency gains from AI model and solution implementation • Support implementation, monitoring, and optimization of AI models and tools • Lead business use‑case design for AI products, including development and maintenance of prompts and skills for generative AI models • Drive adoption of AI technologies and tools across the business unit • Provide business support to AI engineers, data scientists, and end users • Document AI workflows, processes, and best practices • Create and maintain a centralized repository of AI best practices, prompting guides, and internal success stories • Troubleshoot AI system issues and escalate as needed • Collaborate with Data Science, Operations, and Project Management teams to ensure successful AI project delivery • Lead the strategy and expansion of automation initiatives across therapeutic areas • Collaborate with Quality, Regulatory, and/or Legal partners to ensure compliant AI implementation • Manage special projects and ensure completion of assigned deliverables • Support and deliver training objectives for business users, including maintaining a dynamic training materials library • Stay current with emerging AI tools, frameworks, and industry trends