AI Architect
Spotted 2h agoFull time
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Job description
About this role
Employer-provided description, formatted for easier reading.
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.
You're Our Person If…
- 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.
Even Better If…
- 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.
Interested in this role?Continue on Salesforce's careers page.
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