Senior AI Engineer, AI Orchestration

LATC Summary

Lenovo AI Technology Center (LATC) is Lenovo’s global AI Center of Excellence, fueling the enterprise’s transformation into an AI-first organization. As a world‑leading computing company, Lenovo offers a full spectrum of technology products and solutions, covering wearables, Motorola smartphones, Think Pad/Yoga laptops, PCs, workstations, servers, and end‑to‑end services. This unparalleled product breadth creates a unique canvas for AI innovation, enabling rapid deployment of cutting‑edge foundation models and flexible hybrid‑cloud, agentic computing across the entire product portfolio.

LATC is building the next wave of AI core technologies and platforms that evolve with the fast‑moving AI ecosystem, focusing on novel model and agentic orchestration collaboration across mobile, edge, and cloud resources. Our mission is to position Lenovo and its customers at the forefront of the global AI generational shift, advancing Lenovo’s Hybrid AI vision and delivering Smarter Technology for All.

As a core member of the LATC Enterprise AI team, you will act as the critical link between Lenovo’s global Business Groups (BGs), external AI ecosystem partners and LATC global RD team. You will be responsible for aligning team goals and technical solutions with department leaders, integrating high‑quality external AI resources, and accurately transmitting BGs’ business demands to the global RD team.

This role is the strategic window and information hub of the team, ensuring the RD direction is highly consistent with Lenovo’s overall AI strategy and business development priorities.

• Architect agent systems Design and own the architecture of production agent systems, including the Agent SDK (Lang Graph/Pydantic Graphs), defining patterns and abstractions that the team builds upon.
• Lead orchestration routing strategy Define the technical vision for orchestration services, model routing (edge‑cloud), and multi‑agent coordination patterns. Make key architectural decisions on latency/cost/capability trade‑offs.
• Drive cross‑team integration Partner with BU product teams (Qira, Tianxi, UDS IQ) to translate requirements into technical specifications. Coordinate with Infrastructure and Data teams on dependencies.
• Establish reliability safety standards Define and enforce guardrail policies, fallback chains, and safety constraints across agent systems. Own incident response and post‑mortem processes.
• Build observability infrastructure Design tracing, logging, and monitoring systems that enable the team to understand agent behavior ate dashboards and alerting for production systems.
• Mentor and grow the team Lead technical decisions for the squad, mentor junior engineers, conduct code reviews, and establish engineering best practices and coding standards.
• Shape technical roadmap Contribute to quarterly planning, identify technical risks, and drive initiatives that improve team velocity and system reliability.

• 7+ years in software engineering, with at least 2 years focused on ML/AI systems or LLM‑based applications.
• BS/MS in Computer Science or related field; equivalent practical experience considered.
• Track record of technical leadership: owning systems end‑to‑end, making architectural decisions, mentoring engineers.
• Experience with production incidents, on‑call responsibilities, and post‑mortem processes.
• Demonstrated ability to influence technical direction beyond immediate team.
• Expert‑level Python programming (async patterns, performance optimization, library design) and experience designing APIs and SDKs.
• Deep knowledge of agentic frameworks (Lang Chain, Lang Graph, Llama Index, Auto Gen) including internals, not just usage.
• Proven track record shipping production agent systems serving real users at scale.
• Strong system design skills: distributed systems, state management, message queues, service mesh patterns.
• Experience with model routing strategies, embedding‑based similarity matching, and edge‑cloud orchestration.
• Ability to break down ambiguous problems, make architectural decisions independently, and communicate trade‑offs clearly.

• Experience…