Salesforce Agentforce Technical Architect(12+yrs)
Infrabyte Technology
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Benefits offered by this job
Job summary
Infrabyte Technology is seeking a Salesforce Agentforce Technical Architect to lead the design and implementation of AI-powered solutions across Sales, Service, and CRM clouds. You will define scalable architectures, govern integration with ERP systems, and mentor developers to deliver secure, production-ready experiences.
This remote contract role welcomes Hybrid in India and requires 12+ years IT, Salesforce Agentforce expertise, and strong stakeholder communication.
Qualifications
- 12+ years of IT experience.
- 8+ years Salesforce development and architecture.
- 2+ years working with Salesforce Agentforce / Einstein AI.
- Strong Data Cloud & AI-powered CRM expertise.
- Experience designing enterprise integrations using REST APIs and MuleSoft.
- Hands-on with Apex, LWC, Flows, and Platform Events.
- Excellent stakeholder communication and solution presentation skills.
Responsibilities
- Design end-to-end Salesforce Agentforce architecture for enterprise deployments.
- Lead AI agent development with Prompt Builder and Agent Builder.
- Define governance, security, and scalable integration strategies.
- Mentor teams and oversee DevOps and deployment processes.
- Collaborate with Enterprise Architects and Product Owners.
Skills
Tools
Job description
This is a remote position.
Role: Salesforce Agentforce Technical Architect
Experience: 12+ Years (10+ years in Salesforce, 2+ years in AI/Agentforce)
Location: Hyderabad / Bengaluru / Pune / Remote (Hybrid Preferred)
Employment Type: Contract- Remote
We are looking for a highly skilled Salesforce Agentforce Technical Architect to lead the design, architecture, and implementation of enterprise-grade AI-powered solutions using Salesforce Agentforce, Data Cloud, Einstein AI, Service Cloud, Sales Cloud, and Experience Cloud. The architect will define scalable agentic AI architectures, integrate enterprise systems, establish governance, and mentor development teams to deliver secure and intelligent customer experiences. This role aligns with Salesforce's enterprise architecture approach for Agentforce and focuses on building production-ready autonomous AI agents with strong governance and integration practices.
Design end-to-end Salesforce Agentforce architecture for enterprise implementations.
Define scalable AI agent frameworks across Sales, Service, Marketing, and Experience Cloud.
Create architecture artifacts including HLDs, LLDs, sequence diagrams, and integration blueprints.
Lead technical discovery workshops with business stakeholders.
Recommend best practices for multi-cloud Salesforce implementations.
Design and configure autonomous AI agents using Salesforce Agentforce.
Build conversational workflows using Prompt Builder and Agent Builder.
Implement reasoning, grounding, guardrails, and action orchestration for AI agents.
Configure AI-powered knowledge retrieval using Data Cloud and CRM data.
Optimize prompt templates for accuracy, safety, and business outcomes.
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Architect solutions across:
Sales Cloud
Service Cloud
Experience Cloud
Data Cloud
Einstein AI
OmniStudio (Preferred)
Define reusable Apex frameworks and Lightning Web Component architecture.
Ensure governor-limit compliant and high-performance application design.
Design API-led integrations using REST, SOAP, Platform Events, and Pub/Sub APIs.
Integrate Agentforce with ERP, SAP, Oracle, MuleSoft, Azure, and third-party AI services.
Build secure authentication using OAuth 2.0, JWT, Named Credentials, and External Credentials.
Implement event-driven architecture using Salesforce Platform Events.
Establish AI governance and responsible AI practices.
Design role-based access, Shield encryption, field-level security, and audit strategies.
Define monitoring, observability, and testing standards for Agentforce deployments.
Conduct architecture reviews and production readiness assessments.
Mentor Salesforce developers and technical leads.
Review code quality, DevOps pipelines, and deployment strategies.
Collaborate with Enterprise Architects, Product Owners, and Data Engineers.
Drive estimation, sprint planning, and technical risk mitigation.
Category
Required Skills
AI Platform
Salesforce Agentforce, Agent Builder, Prompt Builder
Salesforce
Apex, LWC, SOQL, SOSL, Flow, Triggers
Clouds
Sales Cloud, Service Cloud, Experience Cloud, Data Cloud
Integration
REST, SOAP, GraphQL, MuleSoft, Platform Events
DevOps
Copado / Gearset / Azure DevOps / GitHub
Security
OAuth 2.0, JWT, Named Credentials, Salesforce Shield
AI Concepts
Prompt Engineering, RAG, Grounding, Guardrails, Reasoning
Architecture
Enterprise Integration Patterns, Event-Driven Architecture
12+ years of overall IT experience.
8+ years of hands-on Salesforce development and architecture.
2+ years working with Salesforce Agentforce / Einstein AI.
Strong expertise in Data Cloud and AI-powered CRM solutions.
Experience designing enterprise integrations using REST APIs and MuleSoft.
Hands-on experience with Apex, LWC, Flows, and Platform Events.
Excellent stakeholder communication and solution presentation skills.
Salesforce Certified Application Architect
Salesforce Certified System Architect
Salesforce Certified AI Associate
Salesforce Certified Agentforce Specialist
Salesforce Data Cloud Consultant (Preferred)
Salesforce Platform Developer I & II
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