AI Engineer Lead
Description For AI Engineer Lead
Join Salesforce's Data and Analytics (DnA) Organization as an AI Engineer Lead in Mexico City. This role focuses on developing cutting-edge AI solutions and building pro-code agents on the Agentforce platform. The position combines advanced machine learning, data science, and software engineering to create innovative solutions that drive growth for both Salesforce and its customers.
The role involves working with state-of-the-art AI technologies, including LLMs and Generative AI frameworks, while leading the development of AI models and agents for Salesforce's product organization. You'll be part of a team that pioneers advanced Agentforce use cases, integrating classical data science and machine learning techniques to develop powerful AI solutions.
As Customer Zero for these advanced use cases, you'll help develop AI agents and software development patterns that guide both internal teams and external customers in maximizing the value of Agentforce. The position requires strong technical expertise in Python, AI/ML frameworks, and data engineering, combined with leadership skills to mentor junior engineers and collaborate with business leaders.
This is an excellent opportunity for an experienced AI professional who wants to work at the forefront of enterprise AI technology, developing solutions that impact millions of users worldwide. The role offers the chance to work with cutting-edge AI technologies while being part of Salesforce's innovative culture and global team of experts.
Responsibilities For AI Engineer Lead
- Lead the design, development, and deployment of AI models and agents
- 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
- Utilize AI development frameworks like LangChain, LlamaIndex
- Collaborate with business leaders to identify and solve high-value problems
- Ensure scalability, performance, and reliability of AI systems
- Mentor and guide junior engineers
- Conduct code reviews and ensure adherence to best practices
Requirements For AI Engineer Lead
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or 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
- Experience with Docker, AWS Sagemaker, Airflow
- Strong proficiency in SQL and ETL processes
- Experience in building RAG solutions, familiarity with Generative AI, LLMs, and NLP frameworks
Jobs Related To Salesforce AI Engineer Lead
