Advisory AI Engineer
Lenovo
- Location
- Onsite (Chicago, Illinois)
- Compensation
- $168k - $257k/yr
- Employment
- Full-time
- Level
- Senior Level
About the Role
Lenovo's LATC team is building the next wave of AI core technologies and platforms to position the company at the forefront of the generational shift toward AI. This role involves owning the full agentic stack, from LLM orchestration to production deployment, impacting products used globally.
Skills
Perks
- Bonuses
- Commissions
Full job details
Why Work at Lenovo
Description and Requirements
LATC Overview:
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
Job Summary:
Lenovo is seeking a technical lead who will own the full agentic stack — from LLM orchestration, tool use, memory, and production deployment.
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
Required Qualifications:
- 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
Preferred Requirements:
- 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
#LATC