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AI/ML Orchestration Lead EngineerLenovoChicago, Illinois, United States

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AI/ML Orchestration Lead Engineer

Lenovo
  • US
    Chicago, Illinois, United States
  • US
    Chicago, Illinois, United States

Über

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our StoryHub.

About Our Team
Lenovo is hiring an
AI/ML Orchestration Lead Engineer / Manager
to lead the development of the orchestration layer that transforms LLMs into autonomous agents capable of complex reasoning and real-world action. You'll build the infrastructure that enables AI to coordinate across tools, memory systems, and multi-agent workflows—powering adaptive experiences on laptops, mobile, tablets, and cloud.

In this role you will master technologies, such as,LangChain/LangGraph, AutoGen, MCP servers, OpenAI/Anthropic APIs, vector databases (Pinecone, Weaviate), workflow orchestration, Kubernetes, edge deployment

Location:
Chicago, IL,

Hybrid (3 days on-site, 2 days remote)

What You'll Do

  • Design and implement agentic orchestration frameworks using LangChain, LangGraph and also potentially build custom frameworks.
  • Build tool integration ecosystems using existing standards for function calling Model Context Protocol (MCP).
  • Architect multi-agent collaboration systems with distributed reasoning, planning, and execution capabilities
  • Create memory and context management systems that enable long-term agent coherence and personalization
  • Develop evaluation frameworks for agent reliability, safety, and performance
  • Lead a team of engineers while collaborating with research, product, and platform teams
  • Drive the technical roadmap for agentic AI—from prompt orchestration to autonomous system design

Basic Qualifications

  • 7+ years in AI/ML systems, with 3+ years focused on LLM applications or agent frameworks.
  • Bachelor's Degree in Engineering or Computer Science.
  • Experience with agentic AI architectures: planning, reasoning, tool use, memory systems.
  • Experience building production AI systems at scale with robust error handling and observability.
  • Experience with Python, Java, Kotlin, async programming, and/or API design.
  • Experience with prompt engineering, RAG, fine-tuning, and/or LLM orchestration patterns.

Preferred Qualifications

  • Penchant for performance optimization and ability to think out of the box to solve hard problems.
  • Excitement about the agentic AI revolution—Salesforce Agentforce, autonomous workflows, AI-native products

The base salary budgeted range for this position is $180K-$220K.Individuals may also be considered for bonus and/or commission.

Lenovo's various benefits can be found

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

  • Chicago, Illinois, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

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