
Sr. Manager, AI Enterprise Engineering
Lenovo · North Carolina, United States
- Hybrid
- Full-time
- $200,000 / year
- North Carolina, United States
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Subject: Interested in the Sr. Manager, AI Enterprise Engineering role at Lenovo
Hi Avery — I came across the Sr. Manager, AI Enterprise Engineering opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Lenovo stood out because…
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Job highlights
- Lead AI enterprise engineering for a new platform.
- Build and scale a high-performing engineering team.
- Hands-on coding and technical leadership required.
- Define enterprise AI capabilities and integrations.
- Collaborate with sales and enterprise customers.
About the role
About 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 #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 are building Qira, Lenovo's next-generation cross-device Personal AI platform that delivers intelligent, context-aware experiences across Windows, Android, and the cloud.
This role focuses on leading the engineering strategy and execution for enterprise-grade AI platform capabilities, enabling Qira to be adopted by business customers at scale. You will play a key role in defining how AI-driven experiences are built, secured, integrated, and delivered across enterprise environments - from identity and access management to workflow automation and unified knowledge retrieval.
What You'll Do
- Lead the architecture and delivery of enterprise-grade AI platform capabilities, including identity federation, access controls, audit and compliance infrastructure, and multi-tenant deployment models.
- Build and scale a high-performing engineering team - including distributed and international members - focused on enterprise integration, reliability, and scalability.
- Contribute hands-on to technical design, architecture, and development alongside the team - this is a coding role as much as a leadership role, and the expectation is that you can build what you are directing others to build.
- Drive the design and development of an enterprise administration portal that enables IT administrators at customer organizations to provision users, connect corporate identity providers, configure policies and permissions, manage phased rollouts, and monitor usage and audit activity across their Qira deployment.
- Define how Qira systems authenticate, authorize, and interact with enterprise identity providers and corporate IT environments, ensuring seamless and secure adoption by business customers.
- Drive the design and implementation of workflow automation use cases that connect Qira to the enterprise systems employees and IT teams use every day, enabling intelligent, agentic experiences across functions like employee onboarding, approval management, and productivity workflows.
- Build and maintain close alignment with Lenovo's commercial and sales teams to gather enterprise customer requirements, shape go-to-market readiness, and ensure the engineering team is directly informed by what enterprises actually need to adopt Qira.
- Translate commercial requirements - including security posture, deployment and configuration models, integration patterns, observability, manageability, identity, and audit - into concrete engineering programs and workstreams.
- Coordinate engineering readiness for commercial milestones including previews, pilots, and general availability launches, ensuring the right technical checks, documentation, and quality gates are in place.
- Provide technical input and ground-level signal to leadership on how product decisions will impact enterprise adoption, helping the team stay ahead of commercial requirements during development.
- Establish engineering best practices for enterprise AI systems, including deterministic workflow design, observability, error handling, and end-to-end auditability.
- Lead technical discovery with enterprise process owners to scope high-impact use cases, working backwards from business outcomes to define what gets built and in what order.
- Oversee integration of Qira's knowledge layer with enterprise data sources, enabling unified retrieval across on-device and cloud-hosted content without requiring users to know where information lives.
- Define and track success metrics for enterprise deployments - adoption rates, workflow completion, time-to-value - and build the observability infrastructure to surface them.
- Collaborate with ecosystem partners and platform teams to define integration contracts, resolve cross-system issues, and optimize reliability at scale.
Basic Qualifications
- 5+ years of Experience managing and leading software Engineering teams to deliver cross-functional initiatives.
- 12+ years of Experience building and scaling distributed systems, platforms, or real-time products.
- Proficiency and demonstrated ability to serve as a hands-on technical leader contributing to production code.
- 3 years of Experience delivering AI-driven distributed systems, platforms or real-time products.
- Strong program management skillset with proven success scoping MVPs, manage timelines, resolve dependencies, and ship in a fast-paced environment.
- Bachelor's degree in Engineering, Computer Science, or a related technical field.
Preferred Qualifications
- 7+ years of Experience managing and leading software Engineering teams to deliver cross-functional initiatives.
- 15+ years of Experience building and scaling distributed systems, platforms, or real-time products, with ideally 5 years of experience building AI products.
- Current hands-on Expertise and willingness to lead by example: ability to write production code and provide hands-on engineering contribution is desired.
- 3 years of hands-on Experience working on AI/ML systems, LLM-based applications, or intelligent workflows.
- Experience delivering software that meets enterprise security, compliance, and IT manageability requirements - including audit logging, data segmentation, access controls, and engagement with security review processes.
- Experience with enterprise identity and authentication standards: SSO, SAML 2.0, OAuth, RBAC, and MFA integration across corporate identity providers.
- Familiarity with WorkOS and Auth0 for SSO, SCIM provisioning, domain verification, and user lifecycle management within a SaaS or AI product is strongly preferred.
- Experience with workflow orchestration, integration middleware, or API-based systems that connect enterprise applications across functions such as HR, IT, finance, and sales.
- Excellent communication skills with the ability to engage technical and non-technical stakeholders, including enterprise IT leaders and commercial teams.
- Ability to translate product and ecosystem strategy into clear technical direction and execution.
- Experience working with commercial or B2B enterprise customers through pilot programs or beta deployments.
- Experience building and cultivating relationships with enterprise partners such as WorkOS and Auth0.
- Exposure to device management platforms or commercial PC software ecosystems.
- Experience managing distributed or global engineering teams.
- Master's Degree in Engineering or Computer Science preferred.
Compensation and Benefits
The base salary budgeted range for this position is $190-210k. Individuals may also be considered for bonus and/or commission.
Lenovo’s various benefits can be found on www.lenovobenefits.com.
Equal Opportunity Employer
In compliance with Colorado's EPEWA, the expected application deadline for this position is August 7, 2026. 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.
Key skills/competency
- AI Enterprise Engineering
- Software Engineering Leadership
- Distributed Systems Architecture
- AI Platform Development
- Enterprise Integration
- Workflow Automation
- Security and Compliance
- Team Management
- Product Development
- Program Management
Skills & topics
- AI Enterprise Engineering
- Senior Manager
- Software Engineering
- AI Platform
- Distributed Systems
- Enterprise Integration
- Team Leadership
- Product Development
- Lenovo
- AI
- ML
- LLM
- Cloud
- SaaS
- Security
- Compliance
- Workflow Automation
- Identity Federation
- Program Management
- Technical Lead
- Architecture
- Computer Science
- Engineering
How to get hired
- Tailor your resume: Highlight experience in AI, enterprise systems, and team leadership. Quantify achievements in managing distributed systems and delivering cross-functional initiatives.
- Showcase technical depth: Emphasize hands-on coding experience, AI/ML systems, LLM applications, and enterprise security/compliance. Detail experience with identity standards like SSO, SAML, and OAuth.
- Demonstrate leadership: Provide examples of leading and scaling software engineering teams, managing complex projects, and collaborating with commercial and sales teams.
- Prepare for technical interviews: Be ready to discuss distributed systems architecture, AI platform design, enterprise integration patterns, and specific experience with AI/ML and LLM-based products.
- Understand Lenovo's vision: Research Lenovo's 'Smarter Technology for All' initiative and how Qira fits into their AI strategy for enterprise adoption.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the base salary range for the Sr. Manager, AI Enterprise Engineering role at Lenovo?
- The base salary budgeted range for this Senior Manager, AI Enterprise Engineering position at Lenovo is $190,000 - $210,000 annually. Individuals may also be eligible for bonuses and/or commissions.
- What are the key technical skills required for the Sr. Manager, AI Enterprise Engineering position at Lenovo?
- This role requires a strong background in building and scaling distributed systems, AI-driven platforms, and real-time products. Specific technical expertise in AI/ML systems, LLM-based applications, enterprise security, compliance, identity federation (SSO, SAML, OAuth), and workflow automation is essential. Hands-on coding ability is also expected.
- Does Lenovo offer remote work for the Sr. Manager, AI Enterprise Engineering role?
- The job description does not explicitly state the work arrangement for this role. Given the focus on leading teams and enterprise integration, it is likely to be on-site or hybrid, but remote possibilities may exist depending on team location and company policy. Please inquire directly for clarification.
- What is the expected degree for the Sr. Manager, AI Enterprise Engineering role at Lenovo?
- A Bachelor's degree in Engineering, Computer Science, or a related technical field is required. A Master's Degree in Engineering or Computer Science is preferred for this position.
- How does Lenovo's Qira platform differ from other AI platforms, especially for enterprise use?
- Qira is described as Lenovo's next-generation cross-device Personal AI platform focused on delivering intelligent, context-aware experiences across devices and the cloud. For enterprise adoption, it emphasizes capabilities like scalable AI platform features, secure integration, identity federation, workflow automation, and unified knowledge retrieval tailored for business needs.
- What experience is needed to manage and lead software engineering teams for this role at Lenovo?
- Lenovo seeks a candidate with at least 5 years of experience managing and leading software engineering teams to deliver cross-functional initiatives. Preferred qualifications indicate a stronger preference for 7+ years of such experience, especially with distributed and global teams.
- What is the application deadline for the Sr. Manager, AI Enterprise Engineering position at Lenovo?
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