AI Engineer Lead

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Job Category

Data

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

AI Engineer Lead
Data and Analytics (DnA) Org

Location: Mexico City, Mexico 

Job Description

We are looking for a highly skilled and experienced Lead, AI Engineer to join our innovative team in Mexico City. The ideal candidate will possess a robust background in AI, data science, and software engineering. This role will involve spearheading the development of cutting-edge AI solutions and building pro-code agents on the Agentforce platform.

Our team is committed to driving growth for both our company and our customers by harnessing the power of AI on Salesforce’s Agentforce platform. Agentforce offers a host of powerful out-of-the-box capabilities for AI-driven automation and insights. We are enhancing these features through the development of pro-code AI skills. As pioneers in advanced Agentforce use cases, we integrate classical data science and machine learning techniques to develop powerful AI solutions. As Customer Zero of these advanced use cases, we develop AI agents and software development patterns that guide both our internal teams and external customers on how to fully leverage the value of Agentforce.

Responsibilities

• Lead the design, development, and deployment of AI models and agents for the product organization at Salesforce.

• Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI frameworks.

• Perform model optimization for performance, scalability, and accuracy.

• Implement advanced feature engineering techniques for structured and unstructured data.

• Utilize common AI development frameworks such as LangChain, LlamaIndex, and others to build and optimize AI applications.  

• Collaborate with business leaders to identify and solve high-value problems.

• Deliver technical solutions that directly improve KPIs or business outcomes.

• Ensure the scalability, performance, and reliability of AI systems.

• Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.

• Stay up-to-date with the latest advancements in AI, machine learning, and data science to drive innovation within the team.

• Conduct code reviews and ensure adherence to best practices in software engineering and AI development.  

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.

• 5+ years in data science with experience deploying AI/ML products at scale.

• Mastery of Python for data manipulation, machine learning, and software development.

• Proficiency with AI/ ML frameworks like scikit-learn, LangChain, and Llamaindex.  

• Proficiency in Git for version control, including branching, merging, and managing repositories.

• Build and optimize end-to-end machine learning pipelines using tools such as Docker, AWS Sagemaker, Airflow or similar.

• Strong proficiency in SQL and ETL processes.

• Experience in building RAG solutions(+ vector databases), familiarity with Generative AI, LLMs, and NLP frameworks (e.g., Hugging Face Transformers).

Accommodations

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.