Salesforce.Com Inc
Software Engineering SMTS, LMTS, PMTS - Applied AI/ML Team
Salesforce.Com Inc, Atlanta, Georgia, United States, 30383
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Overview
Job Category: Software Engineering About Salesforce: Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Are you passionate about the cutting edge of Artificial Intelligence and eager to shape the future of intelligent solutions within Salesforce? We're building a new, dynamic team dedicated to exploring, developing, and integrating generative AI and applied AI technologies across our products and operations. This is a unique opportunity to lead and contribute to innovative projects that will redefine how our internal teams leverage AI to enhance productivity, drive insights, and create new capabilities. Responsibilities 2. Responsibilities/Duties: Lead the design, development, and deployment of generative AI and applied AI prototypes and production-ready solutions. This includes leveraging LLMs for code generation, content creation, intelligent search, data synthesis, and more. Strategy & Vision: Contribute to the strategic direction for generative AI and applied AI initiatives within Salesforce, identifying high-impact areas for innovation and development. Research & Evaluation: Stay abreast of the latest advancements in generative AI, applied AI, and machine learning research and techniques; evaluate new models, tools, and platforms for potential application within Salesforce. Cross-Functional Collaboration: 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. Mentorship & Knowledge Sharing: 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. Performance & Optimization: Monitor and optimize the performance of deployed AI models, ensuring scalability, reliability, and continuous improvement.
Skills and Experience
Technical Expertise: 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 NLP and generative models. Solid understanding of cloud platforms, specifically AWS, and MLOps principles. AI/ML Concepts: Familiarity with core AI/ML concepts, including data preprocessing, feature engineering, model training, evaluation, and deployment. Generative AI Focus: 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. Ability to read AI research and translate concepts to practical applications. Services and Security: Understanding of developing and delivering services on cloud platforms like AWS, including cloud security, identity and access management, data protection, and network security. Problem-Solving: Excellent analytical and problem-solving skills with the ability to translate complex business problems into viable AI solutions. Communication: Strong verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders and creating content understandable by humans and models. Teamwork: Proven ability to work effectively in a collaborative, fast-paced team environment. Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field.
Preferred Qualifications
Experience with Salesforce platform technologies (Apex, Agentforce, Data Cloud). Leadership or mentoring experience within an engineering development team. Familiarity with data governance, security, and privacy best practices in an enterprise context. Experience with multi-modal AI (e.g., combining text with images or other data types).
Benefits and Accommodations
Unleash Your Potential: When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support balance and growth, with AI agents accelerating your impact. Accommodations: If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. Know your rights: workplace discrimination is illegal. Applications are evaluated on merit, competence, and qualifications without regard to protected characteristics. This policy applies to all aspects of employment. Compensation varies by location and role; Salesforce offers a range of benefits. #J-18808-Ljbffr
Job Category: Software Engineering About Salesforce: Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Are you passionate about the cutting edge of Artificial Intelligence and eager to shape the future of intelligent solutions within Salesforce? We're building a new, dynamic team dedicated to exploring, developing, and integrating generative AI and applied AI technologies across our products and operations. This is a unique opportunity to lead and contribute to innovative projects that will redefine how our internal teams leverage AI to enhance productivity, drive insights, and create new capabilities. Responsibilities 2. Responsibilities/Duties: Lead the design, development, and deployment of generative AI and applied AI prototypes and production-ready solutions. This includes leveraging LLMs for code generation, content creation, intelligent search, data synthesis, and more. Strategy & Vision: Contribute to the strategic direction for generative AI and applied AI initiatives within Salesforce, identifying high-impact areas for innovation and development. Research & Evaluation: Stay abreast of the latest advancements in generative AI, applied AI, and machine learning research and techniques; evaluate new models, tools, and platforms for potential application within Salesforce. Cross-Functional Collaboration: 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. Mentorship & Knowledge Sharing: 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. Performance & Optimization: Monitor and optimize the performance of deployed AI models, ensuring scalability, reliability, and continuous improvement.
Skills and Experience
Technical Expertise: 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 NLP and generative models. Solid understanding of cloud platforms, specifically AWS, and MLOps principles. AI/ML Concepts: Familiarity with core AI/ML concepts, including data preprocessing, feature engineering, model training, evaluation, and deployment. Generative AI Focus: 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. Ability to read AI research and translate concepts to practical applications. Services and Security: Understanding of developing and delivering services on cloud platforms like AWS, including cloud security, identity and access management, data protection, and network security. Problem-Solving: Excellent analytical and problem-solving skills with the ability to translate complex business problems into viable AI solutions. Communication: Strong verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders and creating content understandable by humans and models. Teamwork: Proven ability to work effectively in a collaborative, fast-paced team environment. Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field.
Preferred Qualifications
Experience with Salesforce platform technologies (Apex, Agentforce, Data Cloud). Leadership or mentoring experience within an engineering development team. Familiarity with data governance, security, and privacy best practices in an enterprise context. Experience with multi-modal AI (e.g., combining text with images or other data types).
Benefits and Accommodations
Unleash Your Potential: When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support balance and growth, with AI agents accelerating your impact. Accommodations: If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. Know your rights: workplace discrimination is illegal. Applications are evaluated on merit, competence, and qualifications without regard to protected characteristics. This policy applies to all aspects of employment. Compensation varies by location and role; Salesforce offers a range of benefits. #J-18808-Ljbffr