Sr. Manager, AI Agent Development

Position Summary

Lenovo is seeking a technical leader to oversee our AI Agent Development team. In this high-impact role, you will create the framework and drive the development of cutting-edge AI capabilities across Lenovo devices and platforms - from on-device inference to cloud-enabled workloads. Your team will play a critical role in bringing cutting-edge research into real-world products. Your mission is to turn the latest advances in LLMs and reasoning models into robust agents that run at scale and delight users. You will guide your team in designing and evaluating agent workflows that are reliable, efficient, and aligned with user needs in resource-constrained environments. You will work hand-in-hand with product managers, designers, and other engineering teams to craft AI agents that solve real customer pain points.

This is a unique opportunity to shape how AI reaches hundreds of millions of users globally. You'll be leading a collaborative team to push the boundaries of what's possible with AI models and deploy them into innovative products. If you are passionate about making Smarter Technology For All, come help us realize our Hybrid AI vision!

Key Responsibilities

• Lead and mentor a team of engineers working on agentic workflows that work on-device, across-device, and on-cloud.

• Set technical direction, prioritize projects, and ensure timely delivery of high-quality outcomes.

• Foster collaboration across globally distributed and engineering teams and organizations.

• Agentic Workflow Design & Development

• Architect and implement multi-step agent workflows including task decomposition, function/tool calling, robustness, and recovery strategies.

• Maximize agent performance through prompt engineering and context management for efficient on-device execution and/or best experience using public cloud models.

• Lead team efforts in fine-tuning and adaptation using PEFT if needed.

• Utilize multimodal embeddings, vector databases, and graph databases to support agent memory and knowledge.

• Incorporate human-in-the-loop mechanisms for ambiguity, safety, and reliability.

• Build tools to automate the development of agentic workflows, speeding time-to-adoption.

• Evaluation & Benchmarking

• Develop and maintain evaluation datasets for agent behavior, robustness, and performance.

• Define success metrics and continuous evaluation pipelines for agent workflows.

• Establish and maintain reproducible workflows, automation pipelines, and release-readiness criteria.

• Stay up-to-date with the latest advancements in large language models, training techniques, and related technologies.

Required Qualifications

• Experience: 7+ years in production software development, including AI/ML engineering, with 3+ years in leadership roles.

• Strong technical background in AI/ML, LLMs, and agentic workflows.

• Proven track record in agentic development.

• Expertise in prompt engineering, LoRA fine-tuning, RAG systems, embeddings, and vector databases.

• Experience using LangGraph, LangChain, AutoGen, or similar agent frameworks.

• Deep understanding of multi-step reasoning and human-in-the-loop systems.

• Familiarity with evaluation dataset design and model robustness testing.

• Data & Telemetry: Building feedback loops from runtime telemetry to guide retraining, routing, and optimization.

Preferred Qualifications

• Graduate degree (MS or PhD) in Computer Science, AI/ML, Computational Engineering, or related field.

• Experience delivering AI features in consumer electronics or embedded platforms.

• Practical experience dealing with context length challenges for on-device inference.

• Track record of collaboration with research institutions and contributions to open-source AI optimization libraries.

• History of ensuring secure deployments and adherence to privacy regulations, other security best practices.

• Excellent communication and stakeholder management skills.

• Excellent leadership, communication, and cross-functional collaboration skills.