Lead Engineer Gen AI

Description and Requirements

Do you have a passion for building applications that leverage the power of generative AI models to create entirely new forms of interactions?

Are you a results-oriented engineer who thrives in a collaborative environment and enjoys leadership on 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 Lead GenAI Engineer on this team, you will play a key role in developing, deploying, optimizing and evolving GenAI solutions for the platform.

This is a great opportunity if you are :

• passionate about generative AI capabilities
• have a strong sense of responsibility and ownership
• resourceful in face of ambiguity and thrive on change
• an independent thinker who can identify problems, solve as well as help others solve them
• excellent collaborator and with solid communication skills, demonstrated by successful cross team collaboration
• able to tackle and help breakdown large AI projects

Responsibilities :

• In this role, you will work with the user, device and services data to prepare it for use with models to power GenAI applications.
• The data you shape will be used to power AI capabilities of the core platform that enables various cloud solutions of the company.
• Defining the technical vision and roadmap for the GenAI solutions team.
• Mentoring junior engineers and helping grow their technical skills.
• Staying up to date with the latest advancements in GenAI space and identifying opportunities to leverage them. Evaluating and implementing new tools and technologies to improve the team's efficiency.
• Optimizing GenAI pipelines and models to improve quality and reduce computational time, cost
• Serve as a security champion, ensuring the data and functional security aspects of GenAI application.
• Working with business partners to understand business and product objectives, identify and define the right AI problems that need to be solved, translating them into technical requirements and breaking them down into manageable tasks.
• 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 :

• Bachelor’s degree in computer science, Information Systems, Engineering, Math or related technical field.
• 8+ years experience in the following areas : Proficiency in programming languages such as Python and Java, and experience with AI frameworks like Langchain, or similar.

Experience with designing and developing microservices architecture.Proficiency in deploying and managing applications using Kubernetes.

Familiarity with version control systems, CI / CD practices, testing

6 months in the following areas : Hands-on experience with AWS Bedrock and Azure OpenAI services.Experience with large language models (LLMs) and multimodal models.

Experience with observability tools like Datadog, ELK stack (Elasticsearch, Logstash, Kibana), and similar.

Preferred Qualifications :

• Master’s degree in Computer Science, Information Systems, Engineering, Math or related technical field.
• Experience with data preprocessing, data augmentation, and handling large datasets.
• Ability to work collaboratively in a team environment and communicate complex technical concepts effectively.
• Strong problem-solving skills and attention to detail.
• Experience mentoring junior engineers and help grow their technical skills

LI-DB1