Salesforce is looking to identify, evaluate, and implement AI-driven solutions to address critical business challenges and unlock new opportunities within the company, focusing on generative AI and applied AI technologies to enhance productivity, drive insights, and create new capabilities.
Requirements
- At least 10 years of programming experience.
- Strong proficiency in Python and relevant AI/ML frameworks.
- Knowledge of various machine learning models, including deep learning architectures, particularly those related to natural language processing (NLP) and generative models.
- Solid understanding of cloud platforms, specifically AWS, and MLOps principles.
- Familiarity with core AI/ML concepts, including data preprocessing, feature engineering, model training, evaluation, and deployment.
- Practical experience working with Large Language Models (LLMs), fine-tuning, prompt engineering, and understanding their applications for text generation, summarization, code generation, and conversational AI.
- A strong understanding of developing and delivering services on cloud platforms like AWS, including concepts around cloud security, identity and access management, data protection, and network security.
Responsibilities
- Contribute to the strategic direction for generative AI and applied AI initiatives within Salesforce, identifying high-impact areas for innovation and development.
- Lead the design, development, and deployment of generative AI and applied AI prototypes and production-ready solutions.
- Leveraging LLMs for code generation, content creation, intelligent search, data synthesis, and more.
- Stay abreast of the latest advancements in generative AI, applied AI, and machine learning research and techniques, both from within Salesforce’s own product suite as well as emerging industry tools and research papers.
- Evaluate new models, tools, and platforms for their potential application within Salesforce.
- Partner with product managers, data scientists, engineers, and business stakeholders to gather requirements, define project scopes, and ensure successful integration and adoption of AI solutions.
- Monitor and optimize the performance of deployed AI models, ensuring scalability, reliability, and continuous improvement.
Other
- Close collaboration with product, engineering, and various internal stakeholders to bring these visionary ideas to life.
- Act as a subject matter expert, providing guidance and sharing knowledge with other teams on best practices, ethical considerations, and the capabilities of generative and applied AI.
- Excellent analytical and problem-solving skills, with the ability to translate complex business problems into viable AI solutions.
- Strong verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders and providing content that can be understood by both humans and models.
- Proven ability to work effectively in a collaborative, fast-paced team environment.
