> Markdown version of [/jobs/ext/3609133-salesforce-ai-tech-lead-salesforce-ai-architect](https://www.wearedevelopers.com/jobs/ext/3609133-salesforce-ai-tech-lead-salesforce-ai-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Salesforce AI Tech Lead/Salesforce AI Architect - **Company:** VDart, Inc. - **Location:** Juno Beach, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Applications Architecture, Automation of Tests, Software Quality, Code Review, Continuous Integration, DevOps, Python (Programming Language), Machine Learning, Tensorflow, Salesforce.Com, Systems Architecture, Systems Integration, Apex Code, Enterprise Software Applications, Large Language Models, Prompt Engineering, Visualforce, Enterprise Integration, Software Version Control - **Published:** October 7, 2026 - **Apply:** https://www.dice.com/job-detail/708f5379-f106-49c9-8517-6dd75ab6b9c4 ## About the Role * 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., * 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. ## Description 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., * 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.