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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'll be
instrumental in identifying, evaluating, and implementing AI-driven solutions that address
critical business challenges and unlock new opportunities within Salesforce. You'll 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
● Solution Design & Development: Design, develop, and deploy generative AI and
applied AI prototypes as production-ready solutions, 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.
● 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 5 years of programming experience.
○ Strong proficiency in Python and relevant AI/ML frameworks.
○ 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.
● Services and Security: 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.
● 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 providing content that
can be understood by both 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 a related technical field.
4. Preferred Requirements
● Knowledge of various machine learning models, including deep learning architectures,
particularly those related to natural language processing (NLP) and generative models.
● Experience with Salesforce platform technologies, specifically Apex, Agentforce, and
Data Cloud.
● Prior experience in a leadership or mentorship role within an engineering development
team.
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.
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Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. 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.
For Washington-based roles, the base salary hiring range for this position is $184,000 to $253,000.