AI-Driven Salesforce Remote Forward Deployed Engineer

ZealHire Inc.; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

ZealHire Inc. is seeking a hands-on Salesforce Forward Deployed Engineer, remote, to design, deploy, and optimize intelligent Salesforce solutions for enterprise customers.

You will translate business problems into production-ready Salesforce and Agentforce implementations, lead architecture discussions, and work directly with customers from discovery through production rollout. Strong Apex/LWC/Flows and AI integration experience are required.

Qualifications

• Hands-on Salesforce development and architecture experience.
• Experience implementing Salesforce Agentforce.
• Proficient in Apex, LWC, Flows, SOQL, REST/API.
• Experience with AI/LLM-powered applications.
• Strong troubleshooting and production deployment skills.

Responsibilities

• Design and implement Salesforce Agentforce / Agentic AI solutions for enterprise use cases.
• Build and configure autonomous agents, topics, actions, prompts, guardrails, and orchestration workflows.
• Develop Salesforce solutions using Apex, LWC, Flows, APIs and integrations.
• Integrate Agentforce with Salesforce Data Cloud, CRM data, external systems, APIs, and enterprise applications.
• Work directly with customers to understand requirements, prototype solutions, troubleshoot issues, and drive production deployment.
• Develop AI-powered workflows using LLMs, prompt engineering, RAG/grounding and conversational AI concepts.
• Evaluate and improve agent response accuracy, reliability, security, and overall user experience.
• Lead technical discovery, solution architecture, demonstrations, proof-of-concepts, and production implementations.
• Partner with Salesforce architects, developers, business teams, and customer stakeholders throughout delivery.
• Provide technical guidance and best practices around Salesforce AI architecture, governance, security, scalability, and performance.

Skills

Salesforce development

Salesforce architecture

Agentforce

Apex

LWC

Flows

SOQL

REST/API integration

AI/LLM integration

Customer-facing delivery

Tools

Salesforce

Agentforce

Einstein AI

Data Cloud

Job description

USC/GC/H4-EADNeed LinkedIn, VISA DL100% Remote

We are looking for a hands-on Salesforce Forward Deployed Engineer with strong Agentforce and AI experience to work directly with customers to design, build, deploy, and optimize intelligent Salesforce solutions. This is a highly technical, customer-facing role requiring the ability to translate business problems into production-ready Salesforce and Agentforce solutions.

Key Responsibilities

Design and implement Salesforce Agentforce / Agentic AI solutions for enterprise use cases.

Build and configure autonomous agents, topics, actions, prompts, guardrails, and orchestration workflows.

Develop Salesforce solutions using Apex, LWC, Flows, APIs and integrations.

Integrate Agentforce with Salesforce Data Cloud, CRM data, external systems, APIs, and enterprise applications.

Work directly with customers to understand requirements, prototype solutions, troubleshoot issues, and drive production deployment.

Develop AI-powered workflows using LLMs, prompt engineering, RAG/grounding and conversational AI concepts.

Evaluate and improve agent response accuracy, reliability, security, and overall user experience.

Lead technical discovery, solution architecture, demonstrations, proof-of-concepts, and production implementations.

Partner with Salesforce architects, developers, business teams, and customer stakeholders throughout delivery.

Provide technical guidance and best practices around Salesforce AI architecture, governance, security, scalability, and performance.

Required Skills

Strong hands-on Salesforce development and architecture experience.

Practical implementation experience with Salesforce Agentforce.

Strong Apex, LWC, Salesforce Flows, SOQL and REST/API integration skills.

Experience building or deploying AI/LLM-powered applications or agents.

Understanding of prompt engineering, RAG, grounding, agent orchestration and AI evaluation.

Experience integrating Salesforce with external applications and data sources.

Strong troubleshooting and production deployment experience.

Excellent customer-facing communication and solutioning skills.

Ability to independently take a use case from discovery → prototype → implementation → production.

Preferred: Salesforce Agentforce/Data Cloud certifications or relevant Salesforce certifications, experience with Einstein AI/Data Cloud, and previous experience in a Forward Deployed Engineer, Solution Architect, Technical Lead, or customer-facing engineering role.

$000,000 – $000,000 Salary range is not shown on the candidate portal

Apply before Nov 6, 2026 — don't miss this opportunity!