Lenovo

At Lenovo, we Never Stand Still. Every day, every employee at Lenovo is focused on moving forward, rejecting traditional limits, and always seeking a better way.

Do you have a passion for building applications that leverage the power of generative AI to create entirely new forms of interactions?  Are you a results-oriented engineer who thrives in a collaborative environment and enjoys identifying problems and delivering solutions for them using cutting-edge technologies? If so, we want to hear from you!

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.

This is a great opportunity if you are:

• passionate about critical problem solving.
• an independent thinker who can identify problems, solve as well as help others solve them.
• have a strong sense of responsibility and ownership.
• resourceful in face of ambiguity and thrive on change.
• 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.
• able to understand business needs and optimally translate them into clearly defined problems.

Responsibilities:

• 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.  
• Evaluate existing solutions, identifying bottlenecks for internal clients, and propose improvements/solutions that can be developed using AI platform.
• Build prototypes using existing platform capabilities as well as propose extensions to demonstrate the feasibility of the proposed solution.
• Explore, select and implement solutions using appropriate technologies and tools to solve problems and drive innovation.
• Explain complex technical concepts and solutions to both technical and non-technical stakeholders.
• Provide technical guidance and mentorship to junior engineers.
• Promote a culture of knowledge sharing and continuous learning.
• Help define the technical vision and roadmap for the AI solutions team.
• Staying up to date with the latest advancements in AI/ML space and identifying opportunities to leverage them. Evaluating and implementing new tools and technologies to improve the team's efficiency.
• Collaborating with a multidisciplinary, globally distributed team of professionals that can include Data Scientists, Data Engineers, Business Analysts, Project and Product Management
• Delegating tasks effectively and providing clear expectations for team members.

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.
• Hands-on experience (5+ years) in architecting and implementing AI/ML solutions using frameworks/libraries such as MLlib, Tensorflow, PyTorch, scikit-learn etc.
• Proficiency in programming languages such as Python and Java.
• Experience in developing ML solutions in public cloud(s) such as AWS, Azure and containerization of technologies like Docker, Kubernetes
• 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.