Everest Consulting Group
Salesforce Architect : Hybrid Lebanon, NJ
Everest Consulting Group, Lebanon, New Jersey, United States, 08833
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.
Role
Salesforce Architect
Agentforce & AI Solutions
Employment Type: Contract
Contract
6 months Duration
Work location / Work Mode
Lebanon, NJ (link removed) Hybrid
3 days a week
About the Role
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
Multi-Cloud: 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
Role
Salesforce Architect
Agentforce & AI Solutions
Employment Type: Contract
Contract
6 months Duration
Work location / Work Mode
Lebanon, NJ (link removed) Hybrid
3 days a week
About the Role
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
Multi-Cloud: 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