AI Solution Engineer
1 week ago
Lenovo is a US$62 billion revenue global technology powerhouse, ranked #217 in the Fortune Global 500, employing 77,000 people around the world, 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 by further expanding into growth areas that fuel the advancement of ‘New IT’ technologies (client, edge, cloud, network, and intelligence) including server, storage, mobile, software, solutions, and services.
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. com, and read about the latest news via our StoryHub.
Do you have a passion for building applications that leverage the power of generative AI to create entirely new forms of interactions? p>
We are building GenAI capabilities for Lenovo cloud software division’s core platform that powers various cloud solutions. As a senior solutions engineer on this team, you will play a key role in evaluating existing solutions, identifying bottlenecks, proposing and developing improvements/solutions that can be built using AI platform.
an independent thinker who can identify problems, solve as well as help others solve them.an excellent collaborator and with solid communication skills, demonstrated by successful cross team collaboration.able to tackle and help breakdown large software AI related projects.- In this role, you will design and develop software solutions (including but not limited to AI) that meet internal, external client requirements and align with business objectives.
- Explain complex technical concepts and solutions to both technical and non-technical stakeholders.
- Provide technical guidance and mentorship to junior engineers.
- Help define the technical vision and roadmap for the AI solutions team.
- Collaborating with a multidisciplinary, globally distributed team of professionals that can include Data Scientists, Data Engineers, Business Analysts, Project and Product Management.
Minimum Qualifications:
- Master’s degree (or Bachelor’s degree with relevant experience) in Computer Science, Information Systems, Engineering, Math or related technical field.
- Experience working on Data and/or AI/ML powered software systems through various phases such as prototype, implementation and deployment to production.
- Significant experience (10+ years) building production grade engineering solutions.
- Proficiency in programming languages such as Python and Java.
- Experience mentoring junior engineers and help grow their technical skills.
- Experience collaborating with data engineers, machine learning engineers, data scientists, and communicating with stakeholders.
- Familiarity with version control systems, CI/CD practices, testing.
- Excellent communication and collaboration skills, demonstrated by ability to interact effectively with technical and non-technical stakeholders.
Preferred Qualifications:
- Solid understanding of software architecture principles, including microservices, event-driven architecture, and distributed processing.
- Strong problem solving and analytical abilities with proven track record of translating business requirements into efficient data, AI/ML solutions.
- Experience building and/or maintaining SDK for suite of APIs.
- Experience working with front end engineers to integrate solutions with web application.
- Experience working on a wide range of projects (such as NLP, LLM, search related) and in variety of application domains.
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