Advisory AI Engineer

Lenovo•Chicago, IL

3d•$168,100 - $257,715•Hybrid

About The Position

The Lenovo AI Technology Center (LATC)—Lenovo’s global AI Center of Excellence—is driving our transformation into an AI-first organization. We are assembling a world-class team of researchers, engineers, and innovators to position Lenovo and its customers at the forefront of the generational shift toward AI. Lenovo is one of the world’s leading computing companies, delivering products across the entire technology spectrum, spanning wearables, smartphones (Motorola), laptops (ThinkPad, Yoga), PCs, workstations, servers, and services/solutions. This unmatched breadth gives us a unique canvas for AI innovation, including the ability to rapidly deploy cutting-edge foundation models and to enable flexible, hybrid-cloud, and agentic computing across our full product portfolio. To this end, we are building the next wave of AI core technologies and platforms that leverage and evolve with the fast-moving AI ecosystem, including novel model and agentic orchestration & collaboration across mobile, edge, and cloud resources. This space is evolving fast and so are we. If you’re ready to shape AI at a truly global scale, with products that touch every corner of life and work, there’s no better time to join us. #LATC Lenovo is seeking a technical lead who will own the full agentic stack — from LLM orchestration, tool use, memory, and production deployment.

Requirements

6 years of industry experience in ML or applied AI with strong hands-on LLM experience (prompting, fine-tuning, inference optimization)
Bachelor’s degree in computer science, applied math, physics, or a related field
Experience with NLP
Fluent in Python and the modern ML stack (PyTorch, Hugging Face, vLLM or equivalent)
Proven experience with agentic frameworks (LangGraph, AutoGen, CrewAI, or custom) and tool-use patterns (function calling, MCP, structured outputs)
Solid grasp of RAG architecture, embedding models, and LLM evaluation methodology
Strong software engineering fundamentals (python and at least one other programming language).
Experience with Git, and Continuous Integration/Continuous Deployment (CI/CD)
Experience deploying ML models using containerization and container orchestration technologies such as Docker and Kubernetes

Nice To Haves

PhD or Master's preferred
Experience with computer vision
Experience with Agile frameworks, such as Scrum and Kanban
Rust experience for performance-critical inference or runtime components
Ability to effectively communicate technical solutions to both technical and business audiences, both verbally and in writing

Responsibilities

Design and ship agentic LLM pipelines: multi-step reasoning, tool use, reflection loops, and long-horizon planning and memory
Build evaluation frameworks to measure agent reliability and safety across different tasks.
Build and maintain RAG systems, vector stores, and external tool integrations
Deploy and scale agent systems in production; translate relevant research into working systems
Be a technical lead, working closely with other AI engineers, ML scientists, and technical product managers to put pipelines in production
Keep abreast of the latest developments in AI & ML, applying cutting-edge research and methodologies to your work