AI Authentication Engineer Full Time

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 www.lenovo.com, and read about the latest news via our StoryHub.

About Our Team

We’re looking for a passionate and experienced AI Authentication Engineer to join our growing team. In this role, you’ll help design, build, and scale an AI platform with customer-facing products and solutions, ensuring they are secure, reliable, and performant. You’ll collaborate closely with product managers, designers, and fellow engineers to deliver seamless experiences.

You’ll explore and implement how intelligent agents can execute complex workflows to delivering personalized and adaptive product experiences. You’ll balance near‑term product needs with building long‑term platform capabilities that enable innovation at scale. This will be accomplished through integrations with 3rd party MCP servers and gateways.

We recently introduced Qira, our new cross‑device Personal AI that works seamlessly across Lenovo and Motorola products. More information can be found here: https://news.lenovo.com/pressroom/press-releases/lenovo-unveils-lenovo-and-motorola-qira/

Location: Chicago, IL,

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

What You’ll Do

• Own end‑to‑end technical strategy for embedding LLMs, embedding stores, MCP Servers, and personalized content delivery.
• Build tools and services (including MCP Server integrations) to help other team members experiment and ship AI‑enhanced features responsibly and efficiently.
• Collaborate with cross‑functional partners across QA, Mobile, Data, Product, and Marketing.
• Shape and execute our AI strategy with Agents powered by LLMs and other AI technologies.
• Implement secure authentication and authorization mechanisms for MCP connections.

Basic Qualifications

• Bachelor’s Degree in Engineering or Technical discipline and 10+ years of experience
• Experience with enterprise deployment patterns, containerization technologies (like Docker), and cloud infrastructure platforms with focus on Azure.
• Debugging experience to troubleshoot complex issues in distributed environments and partner integrations.
• Experience in one or more of the following languages: Node.js, Python, C#, TypeScript
• Experience developing and deploying MCP Servers and working with the Model Context Protocol ecosystem.
• Experience with AI development frameworks like LangChain, LlamaIndex, or internal AI platforms.
• Experience with policy engines (e.g., OPA) and MCP gateways for centralized authorization and logging.

Preferred Qualifications

• Familiarity of identity products (Identity Server, Okta, Microsoft Entra)
• A deep understanding of the MCP specification, architecture, and security best practices.
• 3P Integrations patterns (Token validations and mappings)
• Proficiency in backend languages commonly used for MCP server development, such as Python, TypeScript/Node.js, Go and DotNet.
• ,OpenID Connect, and JWT (JSON Web Tokens).
• WebSockets, and real-time communication protocols.
• Understanding enterprise security and compliance requirements (e.g., SOC2, GDPR, HIPAA).
• Knowledge of RESTful API design, JSON-RPC (which MCP uses as its foundation).
• Knowledge of security risks such as prompt injection, context poisoning, and credential exfiltration, and how to mitigate them.
• Familiarity with both SQL and NoSQL database systems to manage data accessed by AI agents.
• In-depth understanding of MCP protocols (current and proposed).

The base salary budgeted range for this position is $150K-180K. Individuals may also be considered for bonus and/or commission.

Lenovo’s various benefits can be found on www.lenovobenefits.com

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.