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Salesforce Agentforce Jobs (NOW HIRING)

PracticeTek

Sr. Salesforce Administrator

San Diego, CA · On-site

... Agentforce to bring AI-powered automation into our sales workflows. What You'll Do Sales Process Optimization & User Experience • Own the end-to-end Salesforce experience for the sales organization ...

PracticeTek

Sr. Salesforce Administrator

San Diego, CA · On-site

... Agentforce to bring AI-powered automation into our sales workflows. What You'll DoSales Process Optimization & User Experience • Own the end-to-end Salesforce experience for the sales organization ...

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Salesforce Agentforce information

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$40.5K

$98.9K

$155K

How much do salesforce agentforce jobs pay per year?

As of Jun 8, 2026, the average yearly pay for salesforce agentforce in the United States is $98,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $119,000.00 per year, depending on experience, location, and employer.

What is a Salesforce Agentforce?

A Salesforce Agentforce typically refers to a professional who uses Salesforce, a leading customer relationship management (CRM) platform, to manage customer interactions, sales, and support processes for a business. These agents leverage Salesforce’s tools to track leads, resolve customer issues, and maintain detailed records of all client communications. Their role is essential for streamlining sales cycles, improving customer satisfaction, and increasing organizational efficiency. Salesforce Agentforce professionals are often skilled in using Salesforce Service Cloud and Sales Cloud, and may also be involved in customizing workflows and generating reports based on customer data.

How does a Salesforce Agentforce professional typically collaborate with sales and customer service teams to improve client satisfaction?

A Salesforce Agentforce professional works closely with both sales and customer service teams by streamlining workflows, customizing dashboards, and ensuring that all client information is easily accessible and up-to-date in the CRM. They often facilitate training sessions, troubleshoot issues, and implement process improvements based on feedback from these teams. This collaborative approach not only boosts team efficiency but also leads to higher client satisfaction by responding to customer needs quickly and accurately.

What is the difference between Salesforce Agentforce vs Salesforce Administrator?

CriteriaSalesforce AgentforceSalesforce Administrator
CertificationsSalesforce Certified Agentforce ConsultantSalesforce Certified Administrator
Work EnvironmentCustomer support, sales, and service teamsSystem configuration, user management, and process automation
Industry UsageSalesforce ecosystem, CRM support rolesCRM management across various industries
Common Search IntentRole responsibilities, skills, certificationsSystem setup, user training, process optimization

Salesforce Agentforce primarily focuses on supporting customer service and sales teams with specialized tools, while Salesforce Administrator handles system configuration, user management, and process automation. Both roles require Salesforce certifications but serve different functions within the Salesforce ecosystem.

What are the key skills and qualifications needed to thrive as a Salesforce Agentforce Agent, and why are they important?

To thrive as a Salesforce Agentforce Agent, you need a solid understanding of CRM principles, customer service experience, and familiarity with sales processes, typically supported by relevant certifications such as Salesforce Certified Administrator. Proficiency with Salesforce platform tools, lead management systems, and data reporting dashboards is essential. Exceptional communication, problem-solving abilities, and adaptability help agents build strong client relationships and resolve issues efficiently. These skills and qualities are crucial for maximizing customer satisfaction, driving sales performance, and leveraging the full potential of the Salesforce ecosystem.
Infographic showing various Salesforce Agentforce job openings in the United States as of May 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $98,862 per year, or $47.5 per hour.
Salesforce AI Integration Architect ID68517

Salesforce AI Integration Architect ID68517

AgileEngine

Chicago, IL • On-site

$71.25 - $88.25/hr

Full-time

Posted 9 days ago

Job description

Job Description
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Salesforce AI Integration Architect to design and build enterprise integrations between internal AI platforms, enterprise systems, and Salesforce Agentforce environments, enabling autonomous AI workflows at scale. You will architect distributed systems and multi-step agentic AI orchestration patterns, develop Salesforce-native integrations, and establish governance, security, and trust frameworks for AI-enabled enterprise solutions. The role requires deep expertise in Salesforce customization, AI/LLM orchestration, enterprise integrations, and scalable distributed system design.
WHAT YOU WILL DO
  • Architect end-to-end integrations between internal AI platforms, enterprise data systems, and Salesforce Agentforce environments;
  • Design scalable, secure, and resilient distributed system architectures supporting autonomous AI workflows;
  • Design and optimize modular agentic AI systems, avoiding monolithic reasoning architectures through specialized micro-agent delegation;
  • Build orchestration patterns for multi-step AI workflows, autonomous routing systems, and semantic tool execution;
  • Apply best practices around Prompt Engineering, Context Management, Token Conservation, and LLM Orchestration;
  • Develop and enhance integrations using Salesforce Flows, Invocable Apex Methods, APIs, connectors, and custom prompt templates;
  • Enable complex backend processes to be exposed as intelligent agentic tools within Salesforce ecosystems;
  • Collaborate with cross-functional teams to maintain unified API contracts and semantic consistency across enterprise systems;
  • Author comprehensive Architectural Decision Records (ADRs) documenting technical trade-offs, constraints, and High-Level Requirements (HLRs);
  • Evaluate and select optimal integration patterns including Traditional APIs, Model Context Protocol (MCP), and Agent-to-Agent (A2A) communication models;
  • Balance performance, latency, scalability, reasoning overhead, and data sensitivity considerations in architectural decisions;
  • Establish authentication boundaries, trust layers, and governance guardrails for AI-enabled enterprise systems;
  • Ensure compliance with enterprise security standards, data governance policies, and secure data exposure practices;
  • Partner with security and platform teams to maintain reliable and trustworthy autonomous agent execution.

MUST HAVES
  • 6+ years of experience designing enterprise integrations and distributed system architectures;
  • Hands-on experience integrating systems with Salesforce;
  • Deep expertise with Apex Methods, Advanced Salesforce Flows, Custom Prompt Templates, Salesforce APIs, and connectors;
  • Strong experience with REST APIs;
  • Solid understanding of AI/LLM concepts including Prompt Engineering, Context Management, Token Optimization, Multi-step AI Workflows, Agent Orchestration, and Semantic Routing Systems;
  • Experience designing scalable and secure distributed systems;
  • Strong understanding of authentication, security, trust boundaries, and data governance;
  • Experience documenting architecture decisions, trade-offs, and technical strategy;
  • Excellent collaboration and communication skills across engineering, platform, data, and security organizations;
  • Upper-intermediate English level.

NICE TO HAVES
  • Experience with gRPC;
  • Experience with Event-Driven Architectures;
  • Experience with enterprise synchronization patterns;
  • Experience with Model Context Protocol (MCP);
  • Experience with Agent-to-Agent (A2A) integrations;
  • Experience with MuleSoft or enterprise middleware platforms;
  • Familiarity with Salesforce Agentforce;
  • Experience building or managing autonomous AI agents or micro-agent ecosystems;
  • Experience with semantic tool discovery or AI-native integrations;
  • Knowledge of Salesforce Bulk APIs and Salesforce Connect;
  • Experience operating within large-scale enterprise AI environments.

PERKS AND BENEFITS
  • Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation.
  • Exciting projects: Join projects with modern solutions development and top-tier clients, including Fortune 500 enterprises and leading product brands.
  • Flextime: Tailor your schedule for an optimal work-life balance, with options for remote work and flexible hours.

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