Software Engineering SMTS, LMTS, PMTS - Applied AI/ML Team

Overview

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. 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 Strategy & Vision: Contribute to the strategic direction for generative AI and applied AI initiatives within Salesforce, identifying high-impact areas for innovation and development. Solution Design & Development: Lead the design, development, and deployment of generative AI and applied AI prototypes and production-ready solutions, including leveraging LLMs for code generation, content creation, intelligent search, data synthesis, and more. Research & Evaluation: Stay abreast of the latest advancements in generative AI, applied AI, and machine learning research; evaluate new models, tools, and platforms for potential Salesforce applicability. 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 on best practices, ethical considerations, and 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 data preprocessing, feature engineering, model training, evaluation, and deployment. Generative AI Focus: Practical experience with Large Language Models (LLMs), fine-tuning, prompt engineering, and applications for text generation, summarization, code generation, and conversational AI; ability to read AI research and translate concepts into 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: Ability to explain complex technical concepts to non-technical stakeholders and to create content understandable by humans and models. Teamwork: Proven ability to work effectively in a collaborative, fast-paced team environment. Education: Bachelors or Masters degree in Computer Science, AI, ML, Data Science, or related technical field. Preferred Requirements

Experience with Salesforce platform technologies (specifically Apex, Agentforce, and Data Cloud). Prior leadership or mentorship 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). Unleash Your Potential

When you join Salesforce, you''ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we''ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what''s possible - for yourself, for AI, and the world. 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. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com. Salesforce will consider for employment qualified applicants with arrest and conviction records where allowed by law. Salary ranges provided are for specific locations and may vary by region. For New York, Washington, California, and Illinois-based roles, base salary ranges vary by location as described in the posting. #J-18808-Ljbffr