Salesforce Architect Agentforce & AI Solutions

Overview

Hybrid
$60 - $65
Accepts corp to corp applications
Contract - W2
Contract - 6 Month(s)

Skills

Agentforce
Einstein AI
and Generative AI
GenAI

Job Details

Salesforce Architect Agentforce & AI Solutions

Location/ Work Mode: Hybrid Lebanon, NJ 3 days from Office.

Duration : 6 months subject to extension

Interview Process-- Recruitment Prescreening- 20 minutes intro videocall, Trianz Technical 30 -45 minutes video call, Customer call 45- 60 minutes video call.

Project Starting :- Ongoing. .

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.

Please ask the candidates how many Agents they have built in Salesforce ecosystem using Agentforce

Job Description

Role

Salesforce Architect Agentforce & AI Solutions

Employment Type: Contract

Contract 6 months Duration

Work location / Work Mode

Lebanon, NJ . Hybrid 3 days a week

About the Role

Trianz is 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

Work-shift Timings (If required)

9 to 5 PM EST

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