Salesforce Architect Agentforce & AI Solutions

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 1 Month(s)
No Travel Required

Skills

Salesforce Architect
deep expertise in Agent force
Einstein AI
Generative AI technologies
GenAI-powered workflows
AI-driven customer experiences
Salesforce ecosystem.
gentforce
EinsteinAI
Data Cloud andSalesforce core platformdevelopment.
and provide strategic advisory to enterprise clients
AI-driven capabilities
Salesforce Data Cloud.
(POCs) focused onAgentforce
Agentforce
Einstein AI and Salesforce Platform
leveragingAgentforce
Einstein AI and core Salesforce features across Sales Cloud
Service Cloud
Experience Cloud and Marketing Cloud
Build Lightning Web Components
Apex Classes
Flows
Triggers and API integrations
andotherGenAI related capabilities to validate feasibility
performance and business valueDesign and implement Data Cloud solutions for unified customer data
segmentation and activation across channels
Data Cloud insights in conjunction with AI to deliver real-time experiences
Salesforce with external systems using REST/SOAP APIs
middleware and event driven patterns
AI powered workflows
and automation to enhance customer experience
DevOps pipelines using AI to accelerate release readiness
detect deployment risks and recommend fixes
hands-on expertise withAgentforce
Data Cloud
and Salesforce AI tools
EinsteinAIandgenerative AI integrations
Salesforce core conceptsand Hands-on custom development usingApex
LWC
APIIntegrationsand security models
REST/SOAP APIs
Platform Events
middleware and event-driven architectures
POCs in client environments
alesforce products like Sales Cloud
generative AI and conversational AI design
Service Cloud including Omni-Channel Routing
Email-to-Case
Live Agent and Einstein Bots
AI and Data Cloud implementation across enterprise environments
AgentforceDevOps and enterprise CI/CD pipeline management
Salesforce Platform Developer IIandApplication Architectcertifications arerequired
Apex
AURA
SOQL/SOSL
Visualforce
ServiceCloud
SalesCloud
DataCloud
ExperienceCloudAI Skillset:Agentforce
EinsteinAI &otherGen AI tools
middleware
Salesforce security model
Shield encryption
compliance frameworksDevOps Tools:AgentforceDevOps
Copado
Gearset
Jenkins
Github

Job Details

We are seeking a visionary and hands-on Salesforce Architect with deep expertise in Agent force, Einstein AI,

and Generative AI technologies. This role will lead the design and delivery of intelligent agent solutions,

architect GenAI-powered workflows, and provide strategic advisory to enterprise clients.

Should be instrumental in shaping the future of AI-driven customer experiences within the Salesforce ecosystem.

Job Description

Role

Salesforce Architect Agentforce & AI Solutions

must be local to NJ

Employment Type: Contract

Contract 6 months Duration

Work location / Work Mode

Lebanon, NJ . Hybrid 3 days a week

About the Role

looking for a highly skilled Salesforce Technical Architect with deep expertise in Agentforce, Einstein AI, Data Cloud and Salesforce core platform development.

This role will lead the design and delivery of intelligent agent solutions, architect GenAI-powered workflows, and provide strategic advisory to enterprise clients

This role will work closely with clients to understand their requirements, design robust solutions and deliver complex configurations and custom development. They will regularly create and showcase proofs of concept (POCs) focused on Agentforce and AI-driven capabilities, including those involving Salesforce Data Cloud.

Job Responsibilities

Agentforce, Einstein AI and Salesforce Platform

  • Collaborate directly with client stakeholders to understand business needs and translate them into technical designs
  • Design & implement scalable Salesforce solutions leveraging Agentforce, Einstein AI and core Salesforce features across Sales Cloud, Service Cloud, Experience Cloud and Marketing Cloud
  • Build Lightning Web Components, Apex Classes, Flows, Triggers and API integrations
  • Design and develop POCs using Agentforce, and other Gen AI related capabilities to validate feasibility, performance and business value
  • Design and implement Data Cloud solutions for unified customer data, segmentation and activation across channels
  • Leverage Data Cloud insights in conjunction with AI to deliver real-time experiences
  • Integrate Salesforce with external systems using REST/SOAP APIs, middleware and event driven patterns
  • Implement AI powered workflows, and automation to enhance customer experience
  • Implement and optimize Agentforce DevOps pipelines using AI to accelerate release readiness, detect deployment risks and recommend fixes
  • Ensure secure, scalable, and maintainable solutions aligned with Salesforce best practices
  • Troubleshoot and optimize applications across multiple environments ensuring performance and scalability
  • Manage source-driven development with GIT, ensuring branch strategies and align with enterprise standards
  • Stay up to date on Salesforce releases, new AI capabilities and platform trends

Required Education

Masters or Engineering degree

Required Experience

  • 10-15 years of Salesforce platform experience, including solution design and custom development
  • Proven, hands-on expertise with Agentforce, Data Cloud, and Salesforce AI tools (Einstein AI and generative AI integrations)
  • Deep understanding of Salesforce core concepts and Hands-on custom development using Apex, LWC, Flows, API Integrations and security models
  • Extensive experience with integrations REST/SOAP APIs, Platform Events, middleware and event-driven architectures
  • Demonstrated experience building and delivering working POCs in client environments
  • Deep expertise on multiple Salesforce products like Sales Cloud, Service Cloud, Data Cloud, Experience Cloud and Marketing Cloud
  • Experience with generative AI and conversational AI design
  • Strong experience implementing and optimizing Service Cloud including Omni-Channel Routing, Email-to-Case, Live Agent and Einstein Bots
  • AI and Data Cloud implementation across enterprise environments
  • Knowledge on Agentforce DevOps and enterprise CI/CD pipeline management
  • Excellent communication skills with ability to engage both technical and non-technical stakeholders
  • Salesforce Platform Developer II and Application Architect certifications are required
  • Salesforce Agentforce Specialist certification preferred.

Technical Skills

  • Salesforce: Apex, LWC, AURA, SOQL/SOSL, Visualforce, Flows
  • MultiCloud: Service Cloud, Sales Cloud, Data Cloud, Experience Cloud
  • AI Skillset: Agentforce, Einstein AI & other Gen AI tools
  • Integration: REST/SOAP APIs, Platform Events, middleware
  • Security: Salesforce security model, Shield encryption, compliance frameworks
  • DevOps Tools: Agentforce DevOps, Copado, Gearset, Jenkins, Github

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.