Teams at Robots & Pencils

Build and deploy large-scale LLM-based recommender systems from raw customer and catalog data through production inference. Responsibilities include feature and context engineering, distributed training on SageMaker HyperPod, LoRA/QLoRA fine-tuning, reinforcement learning, deep learning architecture, ranking, inference optimization, evaluation, privacy protection, and stakeholder communication with Expedia and AWS science teams.

Lead the design and implementation of a production-grade evaluation framework for planner-executor AI agents. Build simulation, experiment execution, grading, statistical analysis, tracing, optimization-lever plugins, and a locally hosted dashboard. Partner directly with enterprise clients to run staged campaigns, quantify cost-quality tradeoffs, project dollar impact, assess generalization, and deliver evidence-based recommendations. Provide technical leadership, establish evaluation standards, mentor engineers, and communicate findings to technical and business stakeholders.

Leads large-scale AI, digital, and cloud transformation programs from strategy through launch and realized business value. The role coordinates concurrent Agile teams, technical direction, architecture discussions, AI lifecycle governance, risk management, KPIs, stakeholder communication, staffing, and executive decision-making. It requires translating business goals into technical plans, managing complex dependencies and trade-offs, mentoring delivery leaders, and shaping delivery practices while partnering with clients on growth opportunities.