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AgentForce Solutions Architect in Framingham

Remote / Online - Candidates ideally in
Framingham, Middlesex County, Massachusetts, 01704, USA
Listing for: Energy Jobline ZR
Remote/Work from Home position
Listed on 2026-05-12
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Agent Force 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, Mule Soft 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 Mule Soft 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 Mule Soft or Salesforce
  • Proficiency in prompt engineering and working with Large Models (GPT‑4, Claude, etc.)
  • Experience with Data Cloud or similar customer data platforms
  • Knowledge of programming such as JavaScript, Python, and/or Apex
  • Understanding of AI/ML concepts, retrieval‑augmented (RAG), and grounding techniques
  • Experience with agent testing methodologies and conversation design principles
Required Salesforce Certifications
  • Salesforce Administrator
  • Agent Blazer Champion
  • Platform Developer I
Certifications
  • Agent Blazer 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 (Dev Ops, 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)

We are an equal opportunity employer and love at our company. We do not discriminate on the basis of , , , , , , , marital status, or status.

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