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

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Job Category

Software Engineering

Job Details

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.
1. What You Will Be Doing
As a key member of our new Engineering Development and Delivery Applied AI team, you will
be instrumental in identifying, evaluating, and implementing AI-driven solutions that address
critical business challenges and unlock new opportunities within Salesforce. You will bridge
the gap between advanced AI research and practical application, focusing on how generative
models, large language models (LLMs), and other applied AI techniques can be leveraged to
create intelligent tools, automate complex tasks, and generate novel content or insights. This
role involves close collaboration with product, engineering, and various internal stakeholders
to bring these visionary ideas to life.
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. This includes
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 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.
●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.
3. 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 those related to natural language processing (NLP) and
generative models.
○Solid understanding of cloud platforms, specifically AWS, and MLOps principles.
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