Advanced AI Enterprise Engineer

Lenovo

Chicago (IL)

On-site

USD 121,000 - 185,000

Full time

14 days+
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Benefits offered by this job

Bonus potential
Commission
Lenovo benefits

Job summary

Lenovo in Chicago, IL is seeking an AI Enterprise Engineer to own major enterprise capabilities for Qira, Lenovo's cross-device Personal AI platform. You will design and deliver production systems end-to-end, collaborating with enterprise and consumer AI teams to deploy, secure, manage, and integrate Qira at scale.

The role suits engineers who enjoy solving complex integration challenges and delivering customer-facing functionality that drives product adoption.

Qualifications

  • 5+ years developing production software systems.
  • Experience in one or more modern languages such as TypeScript, Python, Go, Java, or Rust.
  • Experience building APIs, backend platforms, distributed systems, or cloud-native applications.
  • Experience working with cloud platforms and modern software delivery practices.
  • Experience independently delivering significant features or services.
  • Strong understanding of system design fundamentals.
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.

Responsibilities

  • Own the design, implementation, testing, and operation of significant enterprise platform capabilities.
  • Build backend services and APIs supporting enterprise administration, governance, security, and integrations.
  • Develop enterprise identity solutions including SSO, SAML, OAuth, RBAC, MFA, and tenant management.
  • Build integrations with enterprise systems including identity providers, workflow platforms, business applications, and enterprise knowledge sources.
  • Partner with engineers across Qira platform teams to incorporate enterprise requirements into shared services and capabilities.
  • Participate in architecture and design reviews and contribute technical recommendations.
  • Troubleshoot and resolve complex production issues across multiple systems and services.
  • Improve platform reliability, observability, scalability, and maintainability.
  • Contribute to cloud deployment, portability, and BYOC capabilities.
  • Mentor junior engineers and contribute to engineering best practices.

Skills

TypeScript
Python
Go
Java
Rust
APIs & backend
Cloud-native apps
Distributed systems

Education

Bachelor's degree in Computer Science or Engineering

Tools

OAuth
SAML
RBAC
MFA
APIs

Job description

* United States of America - Illinois - Chicago


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$83 billion revenue global technology powerhouse, ranked #153 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.


Description and Requirements

About Our Team

We are building Qira, Lenovo's next-generation cross-device Personal AI platform, and extending it into an enterprise-ready solution for business customers worldwide. As an AI Enterprise Engineer, you will own major enterprise capabilities that enable organizations to deploy, secure, manage, and integrate Qira at scale.

You will design and deliver production systems end-to-end while partnering closely with engineers across enterprise and consumer AI teams. This role is ideal for engineers who enjoy building enterprise software, solving complex integration challenges, and delivering customer-facing functionality that directly impacts product adoption.

What You'll Do
  • Own the design, implementation, testing, and operation of significant enterprise platform capabilities.
  • Build backend services and APIs supporting enterprise administration, governance, security, and integrations.
  • Develop enterprise identity solutions including SSO, SAML, OAuth, RBAC, MFA, and tenant management.
  • Build integrations with enterprise systems including identity providers, workflow platforms, business applications, and enterprise knowledge sources.
  • Partner with engineers across Qira platform teams to incorporate enterprise requirements into shared services and capabilities.
  • Participate in architecture and design reviews and contribute technical recommendations.
  • Troubleshoot and resolve complex production issues across multiple systems and services.
  • Improve platform reliability, observability, scalability, and maintainability.
  • Contribute to cloud deployment, portability, and BYOC capabilities.
  • Mentor junior engineers and contribute to engineering best practices.
Basic Qualifications
  • 5+ years developing production software systems.
  • Experience in one or more modern languages such as TypeScript, Python, Go, Java, or Rust.
  • Experience building APIs, backend platforms, distributed systems, or cloud-native applications.
  • Experience working with cloud platforms and modern software delivery practices.
  • Experience independently delivering significant features or services.
  • Strong understanding of system design fundamentals.
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.
Preferred Qualifications
  • Experience building enterprise software products.
  • Experience with authentication, authorization, or enterprise identity systems.
  • Experience with AI-powered applications, LLM integrations, RAG systems, AI agents, or intelligent workflows.
  • Experience integrating SaaS platforms and third-party enterprise systems.
  • Experience with cloud infrastructure and infrastructure-as-code.
  • Experience working across teams to deliver shared technical solutions.
  • Experience with AI-assisted development workflows.

The base salary budgeted range for this position is $128K - $145K. 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.

Additional Locations:

* United States of America - Illinois - Chicago

* United States of America

* United States of America - Illinois

* United States of America - Illinois - Chicago

PAY TRANSPARENCY

The anticipated annual compensation range for this position is120,600-184,920 USD. Final compensation will be based on relevant experience, skills, and business considerations. Individuals may also be considered for bonuses and/or commissions. Lenovo's various benefits can be found at www.lenovobenefits.com

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