Salesforce Lead, Salesforce Architect
  • VDart, Inc.
8 Days Ago
NA
W2, C2C
Juno Beach-FL
7-10 Years
Required Skills: Salesforce Development, Salesforce Architecture, Apex, Lightning Web Components, LWC, Visualforce, Salesforce APIs, Salesforce Customization, Salesforce Integration, Salesforce Data Modeling, Salesforce Security, Einstein AI, Agentforce, Generative AI, GenAI, AI/ML Concepts, AI Model Integration, Large Language Models, LLMs, AI Agents, Prompt Engineering, Intelligent Automation, Predictive Analytics, Salesforce Flow, Enterprise Architecture, Technical Leadership, Code Reviews, Team Mentoring, DevOps, Continuous Integration, Continuous Delivery, CI/CD, Source Control, Automated Testing, Deployment Management, Salesforce Platform Developer, Solution Design
Job Description
Salesforce Lead/Architect - AI
 
We are seeking an experienced and hands-on Salesforce Tech Lead with a strong passion for artificial intelligence, emerging technologies, and innovation. The ideal candidate will bring deep expertise in Salesforce development and architecture, combined with a strong interest in exploring AI frameworks, tools, and models to build intelligent, scalable, enterprise-grade solutions.
This role will lead the technical design, development, and implementation of Salesforce solutions while identifying opportunities to leverage AI, automation, predictive analytics, and intelligent workflows.
 
Key Responsibilities
  • Lead the technical design, development, testing, and deployment of advanced Salesforce solutions with integrated AI capabilities.
  • Explore, evaluate, and implement AI frameworks, tools, and models within the Salesforce ecosystem.
  • Provide hands-on Salesforce development and conduct code reviews to ensure scalability, maintainability, security, and adherence to best practices.
  • Lead and mentor development teams, fostering a culture of technical excellence, innovation, and continuous learning.
  • Collaborate with enterprise architects, business analysts, product owners, and business stakeholders to translate requirements into scalable, AI-enabled technical solutions.
  • Stay current with Salesforce AI capabilities, including Einstein AI, Agentforce, and other emerging Salesforce technologies.
  • Identify and champion opportunities to leverage AI-driven automation, predictive analytics, intelligent workflows, and conversational capabilities.
  • Evaluate emerging AI/ML technologies and determine their applicability to enterprise Salesforce solutions.
  • Ensure solution quality through comprehensive testing, documentation, code quality standards, and established governance practices.
  • Support technical strategy, architecture decisions, and the continuous improvement of Salesforce development practices.
Required Qualifications
  • 7+ years of hands-on Salesforce development experience, with strong expertise in Apex, Lightning Web Components (LWC), Visualforce, APIs, and Salesforce customization.
  • Proven experience working as a Salesforce Tech Lead responsible for technical delivery, architecture, and mentoring development teams.
  • Strong understanding of Salesforce architecture, data models, security, integrations, and enterprise design patterns.
  • Foundational knowledge of AI/ML concepts, frameworks, and technologies, with demonstrated interest in applying AI to enterprise applications.
  • Experience designing and implementing scalable and intelligent technical solutions.
  • Strong analytical and problem-solving skills with the ability to evaluate complex technical challenges.
  • Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
  • Salesforce certifications such as Platform Developer I/II, Application Architect, or System Architect are preferred.
Desired Skills
  • Exposure to AI/ML technologies, Python, data science, or machine learning frameworks.
  • Experience with Salesforce Einstein AI, Agentforce, prompt engineering, generative AI, or AI model integration.
  • Understanding of AI agents, LLMs, APIs, and intelligent automation.
  • Experience with Salesforce automation tools and enterprise integration platforms.
  • Familiarity with DevOps, CI/CD, source control, automated testing, and deployment practices.
  • Experience evaluating emerging technologies and translating them into practical enterprise solutions.
  • Strong passion for innovation, emerging technologies, and continuous technical learning.

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