Remote Solution Architect; Agentic Products

Remote Product Architect (Agentic Knowledge Products)

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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).

We are in need of an Architect to support the end‑to‑end delivery of an AI‑native Enterprise Knowledge Platform that learns, connects, and acts—enabling employee digital twins and embedded enterprise agents that deliver auditable answers and take compliant actions within core business applications. Our initiative fuses semantic foundations, agent orchestration, hybrid retrieval and governance‑by‑design to move from find to answer and act.

This position is remote, will have core working hours in EST and is part of a global team.

• Design secure, scalable architectures for AI agents and enterprise knowledge products
• Deliver models with cross‑domain ontologies and knowledge graphs
• Define data flow, APIs, and integration patterns for RAG pipelines
• Ensure compatibility and governance across platform components
• Handle DB benchmarking and migration planning (eg. pgvector, Milvus, Qdrant)
• Evaluate and recommend technologies for long‑term sustainability
• Act as a trusted advisor to translating business needs into technical solutions
• Standardize interoperability with Model Context Protocol (MCP) and other agent frameworks

• 3+ years of Experience designing LLM‑based, Agentic or RAG systems
• 8+ years of Experience managing both on‑premise and cloud based software architectures OR Enterprise architectures
• Bachelor’s Degree in Engineering, Computer Science, Information Technology, Data Science or related field

• Demonstrated success designing an LLM‑based, Agentic or RAG system and bringing the product to fruition
• Working Experience with agentic AI products or Dev frameworks such as Google Gemini, GPT, Claude Anthropic, Grok, Devin AI, Agent Force, Microsoft Copilot Studio, Git Hub CoPilot, Google Antigravity, Cursor, Glean, CrewAI
• Expertise with AI Knowledge Solutions
• Experience with agent memory, knowledge graph and multi‑agent orchestration
• Proficiency in structured IO, tool/function calling and API design
• Ability to deliver identity integration
• Experience translating technical complexity into business value
• Experience presenting technical concepts to business users and executive stakeholders
• Proficiency with Product Management and Collaboration tools:
  Figma, Jira, Confluence, Notion, SharePoint, Excel
• Cultural Competency working across Chinese, American, Desi, European, and South American cultural contexts, ensuring messages are communicated with clarity and tact
• Certifications are a plus: CAPM, PMP, PMI‑ACP, SAFe, CSM, PRINCE2
• Bilingual proficiency with Mandarin and English is a plus

The base salary budgeted range for this position is $156-185k. Individuals may also be considered for bonus and/or commission. This is a remote position that will have core working hours in EST.

Lenovo’s various benefits can be found on

In compliance with Colorado's EPEWA, the expected Final date to receive applications for this position is February 2, 2025. This applies to both external and internal candidates.

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.

Mid‑Senior level

Full‑time

Engineering and Information Technology

IT Services and IT Consulting