Salesforce Technical Architect, AI and Agentforce
New
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 6+ years of experience in software or application development; 4+ years of hands-on Salesforce development experience
- Required Skills
- PythonJavaJavascriptSalesforceC#DevOpsGenerative AI
Requirements
- 6+ years of experience in software or application development.
- 4+ years of hands-on Salesforce development experience in roles such as developer, lead, or architect.
- Strong proficiency in Apex and JavaScript, with additional knowledge of Python, Java, or C#.
- Experience developing Salesforce solutions including Flows, Lightning Web Components, or Visualforce.
- Strong understanding of front-end technologies such as HTML and CSS.
- Proven experience in Salesforce architecture, solution design, and technical leadership.
- Familiarity with CI/CD pipelines, DevOps practices, and source control strategies.
- Exposure to Agentic AI systems, Generative AI, or Agentforce is highly preferred.
- Salesforce certifications (e.g., Platform Developer II or Agentforce Specialist) are a strong advantage.
- Excellent communication skills with the ability to explain complex technical concepts to diverse audiences.
Responsibilities
- Lead the end-to-end technical architecture and solution design for Salesforce and Agentforce-powered AI solutions.
- Design and define Agentforce components including topics, instructions, actions, automation logic, and supporting data models.
- Translate business requirements into scalable, high-performance Salesforce and AI-based architectures.
- Collaborate with cross-functional teams including developers, project managers, UX designers, and solution architects.
- Oversee solution delivery across all stages of the project lifecycle, from design through development, testing, and deployment.
- Identify technical constraints and explore innovative solutions within Agentforce and Salesforce ecosystem capabilities.
- Stay updated with Salesforce platform advancements and emerging AI capabilities to drive continuous innovation.
- Ensure adherence to best practices in architecture, coding standards, DevOps, and CI/CD processes.
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