AI Architect

Relha LLC; San Francisco, Northern (CA, KY); Hybrid; USD 218,000 - 401,000; Full time

Job summary

Salesforce is seeking an Engineering leader to drive applied AI initiatives within the Salesforce ecosystem, focusing on generative AI, LLMs, and AI-powered developer tools. You will collaborate across product, engineering, and business teams to deliver scalable AI solutions that enhance productivity and insights.

The role emphasizes strategic vision, prototype development, and production deployment, with mentorship responsibilities and strong emphasis on security and governance.

Qualifications

• 15+ years of programming and architectural experience.
• Strong Python proficiency and AI/ML framework knowledge.
• Experience with NLP and generative models.
• Cloud platforms (AWS) and MLOps principles.

Responsibilities

• Identify, evaluate, and implement AI-driven solutions addressing business challenges.
• Bridge AI research and practical applications for production-ready systems.
• Lead design, development, and deployment of AI prototypes and production solutions.
• Collaborate with product, data science, and engineering teams to ensure integration and adoption.
• Evaluate new AI models, tools, and platforms for Salesforce applications.
• Mentor and share knowledge on best practices and governance.

Skills

Python

AI/ML frameworks

NLP

LLMs

AWS

MLOps

Agentforce

Education

Bachelor's/Master's in CS/AI

Tools

Salesforce Agentforce

Data Cloud

LLM fine-tuning

Job description

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.

The Experience

Are you passionate about the cutting edge of Artificial Intelligence and eager to shape the future of intelligent solutions within Salesforce? We're growing a 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.

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.

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.

Technical Expertise:

At least 15 years of programming and architectural 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.

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. Capable of reading through AI research and understanding approaches for how to apply new concepts.

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.

Agentic Coding Platforms: Hands-on experience designing, integrating, or utilizing autonomous AI coding agents and developer platforms (such as Salesforce Agentforce) to streamline software development lifecycles, automate workflow execution, and enhance developer productivity.

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 and Leadership: Proven ability to work effectively in a collaborative, fast-paced team environment where requirements are light and ambiguity is high. Must be capable of leading through the ambiguity and into durable solutions.

Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.

Experience with Salesforce platform technologies (specifically Apex, Agentforce, and Data Cloud).

Prior experience in a leadership or mentorship role within an engineering development team.

Familiarity with data governance, security, and privacy best practices in an enterprise context.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

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.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $218,400 - $365,200 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $263,200 - $401,400 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.