Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
05/16/2026
Full time
Job DescriptionJob Description AgentForce Solutions Architect We've been forging digital transformation through the lens of Salesforce for 20+ years for 3,000+ customers across the globe. We are a Summit status, Marketing Cloud Full Stack Partner. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud. We accomplish incredible digital transformation for our customers with incredible people. We've always held to the fact that talent trumps location, but culture trumps talent. We care about our people and we care about our customers. About the Role: Duties & Responsibilities: Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation Develop custom Prompt Templates and engineer system prompts for optimal agent performance Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs Implement agent security, including Einstein Trust Layer configuration and data masking Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) Monitor agent performance analytics and continuously optimize based on conversation metrics Troubleshoot and resolve issues related to agent responses, actions, and integrations Education & Experience Requirements: 3+ years of development and configuration experience within Salesforce Platform Hands-on experience building and deploying Agentforce agents in production environments Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) Experience with Data Cloud or similar customer data platforms Knowledge of programming languages such as JavaScript, Python, and/or Apex Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques Experience with agent testing methodologies and conversation design principles Required Salesforce Certifications: Salesforce Administrator AgentBlazer Champion Platform Developer I Preferred Certifications: AgentBlazer Legend Salesforce Platform App Builder Agentforce Specialist Platform Developer II Data Cloud Consultant Integration Architect (for complex implementations) Knowledge, Skills and Abilities: Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning Engine Ability to design conversational AI experiences with appropriate agent tone, personality, and guardrails Strong prompt engineering skills with ability to iterate and optimize agent instructions Knowledge of Einstein Trust Layer, data security, and compliance requirements for AI agents Experience with agent performance monitoring, A/B testing, and continuous improvement Ability to translate business requirements into agent capabilities and action plans Strong understanding of when to use agents vs. traditional automation (Flows, Apex) Familiarity with multi-agent orchestration and handoff patterns Knowledge of Salesforce metadata deployment (DevOps, change sets, or CI/CD pipelines) Excellent problem-solving skills and ability to debug complex agent behaviors Strong communication skills to explain agent capabilities and limitations to non-technical stakeholders What We Offer: Competitive salary and performance-based incentives Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional development and career growth A collaborative and inclusive work environment Why You Should Join Us: 100% CEO approval on Glassdoor Small but mighty team of 150 Engagers Values that drive us: Be Great at What You Do, Be Growth Oriented, Be a Team Player, Own It 100% remote work arrangements (minimal travel may be required per client need) If you're interested, so are we! Send your resume our way, and we'll contact you for a phone interview if you meet qualifications We are an equal opportunity employer and love diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.