General Information
Req #
WD
Career Area:
Hardware Engineering
Country/Region:
United Kingdom
State:
Hampshire
City:
Farnborough
Date:
Wednesday, February 11, 2026
Working Time:
Full-time
Additional Locations:
* United Kingdom - Hampshire - Farnborough
Why Work at Lenovo
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.
Description and Requirements
This role is based at Imperial College London. Applicants must be located in London, as the position requires on-site work at least three days per week under our 3:2 hybrid policy.
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.
Responsibilities
* Architect agentsystemsDesign and own the architecture of production agent systems, including the Agent SDK (LangGraph/Pydantic Graphs), defining patterns and abstractions that the team builds upon.
* Lead orchestration & routingstrategyDefine 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-teamintegrationPartner with BU product teams (Qira, Tianxi, UDS IQ) to translate requirements into technical specifications. Coordinate with Infrastructure and Data teams on dependencies.
* Establish reliability & safetystandardsDefine and enforce guardrail policies, fallback chains, and safety constraints across agent systems. Own incident response and post-mortem processes.
* Build observabilityinfrastructureDesign tracing, logging, and monitoring systems that enable the team to understand agent behavior at scale. Create dashboards and alerting for production systems.
* Mentor and grow theteamLead technical decisions for the squad, mentor junior engineers, conduct code reviews, and establish engineering best practices and coding standards.
* Shape technicalroadmapContribute to quarterly planning, identify technical risks, and drive initiatives that improve team velocity and system reliability.
Core Skills
* Expert-level Python programming (async patterns, performance optimization, library design) and experience designing APIs and SDKs.
* Deep knowledge of agentic frameworks (LangChain, LangGraph, LlamaIndex, AutoGen) 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.
Bonus Skills
* Experience with MCP (Model Context Protocol) or similar agent communication protocols.
* Background in edge/on-device deployment (mobile, IoT, embedded systems) with latency and memory constraints.
* Contributions to open-source agent frameworks (LangChain, LlamaIndex, etc.).
* Experience building and operating ML platforms or MLOps infrastructure.
* Background in Go, Rust, or other systems languages for performance-critical components.
* Published blog posts, talks, or papers on agent systems or LLM engineering.
Qualifications
* 8+ years in software engineering, with at least 2 years focused on ML/AI systems or LLM-based applications (6+ years in software engineering with MS Degree)
* 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.
What we offer
* Opportunities for career advancement and personal development
* Access to a diverse range of training programs
* Performance-based rewards that celebrate your achievements
* Flexibility with a hybrid work model (3:2) that blends home and office life
* Electric car salary sacrifice scheme
* Life insurance
LATC
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.
Additional Locations:
* United Kingdom - Hampshire - Farnborough
AI PROCESSING NOTICE
We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.