AI Strategy Leader, R&D
Lab Summary: Samsung Research America (SRA) plays a pivotal role in developing the next generation of discovery in software, user experience and services for future products that can enrich the consumer’s life. The Emerging Technology team at SRA is looking for dedicated individuals that who want to be at the forefront of AI technology exploration and innovation. Position Summary: We are seeking a visionary AI Strategy Leader to lead our organization’s AI journey in 2026 and beyond. In this pivotal role, you will translate cutting-edge AI trends—such as agentic and multi-agent systems, advanced reasoning frameworks, embodied/physical AI, mechanistic interpretability, efficient small models, and AI-driven scientific discovery—into practical, high-ROI strategies that drive competitive advantage, operational excellence, and sustainable growth. You will serve as the bridge between emerging technology, business objectives, and responsible deployment, ensuring AI initiatives deliver measurable impact while mitigating risks. This is a strategic leadership position ideal for a T-shaped professional who combines deep AI fluency with business acumen and change-management expertise. The ET team’s contribution to the fundamental research being done at Samsung Research America includes developing business cases and product roadmaps, sourcing and building key industry partnerships, driving proof of concept development, detailing competitive analysis and industry models. Our thought leadership is anchored by detailed diligence and robust data analytics. The team works across all labs at Samsung Research America including advanced research in mobile, computer vision, artificial intelligence, 6G and next generation communications, digital health etc. Our team monitors and advocates for Samsung’s investments in efficient models; multimodal AI, agentic security, agentic systems, physical AI, AI ethics and governance. Position Responsibilities: Create and maintain a multi-year AI roadmap aligned with business goals across consumer electronics, B2B services, health tech and internal operations Identifying high-value use cases across functions (e.g., agentic orchestration and automation workflows, embodied/physical AI, efficient small models, inference-time scaling, or advanced reasoning for decision support) and make clear, evidence-based recommendations on what to pursue, defer, or ignore Build compelling business cases for high-ROI AI initiatives: identify the opportunity, quantify the value, define success metrics, and secure executive sponsorship Translate strategy into action by working with product, engineering, and data science teams to integrate AI into core workflows and products Conduct structured pilots and proof-of-concepts; define clear go/no-go criteria and graduation paths from POC to enterprise deployment Evaluate and negotiate with external AI vendors, platforms, and research partners to accelerate Samsung's capabilities Stay at the for...