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Einstein Ai Jobs (NOW HIRING)

System One

Salesforce Developer

Washington, VA · Remote

$56.75 - $75.25/hr

Utilize AI-driven automation tools such as Einstein AI and retrieval-augmented generation (RAG) to enhance development efficiency. * Coordinate with cross-functional teams in an Agile environment ...

System One Holdings, LLC

Salesforce Developer

Washington, VA · On-site

$58.50 - $77.50/hr

Utilize AI-driven automation tools such as Einstein AI and retrieval-augmented generation (RAG) to enhance development efficiency. * Coordinate with cross-functional teams in an Agile environment ...

System One

Salesforce Developer

Washington, VA · Remote

$56.75 - $75.25/hr

Utilize AI-driven automation tools such as Einstein AI and retrieval-augmented generation (RAG) to enhance development efficiency. * Coordinate with cross-functional teams in an Agile environment ...

System One

Salesforce Developer

Washington, VA · Remote

$56.75 - $75.25/hr

Utilize AI-driven automation tools such as Einstein AI and retrieval-augmented generation (RAG) to enhance development efficiency. * Coordinate with cross-functional teams in an Agile environment ...

System One

Salesforce Developer

Washington, VA · Remote

$56.75 - $75.25/hr

Utilize AI-driven automation tools such as Einstein AI and retrieval-augmented generation (RAG) to enhance development efficiency. * Coordinate with cross-functional teams in an Agile environment ...

System One

Salesforce Developer

Washington, VA · Remote

$56.75 - $75.25/hr

Utilize AI-driven automation tools such as Einstein AI and retrieval-augmented generation (RAG) to enhance development efficiency. * Coordinate with cross-functional teams in an Agile environment ...

Apptad, Inc.

Salesforce Technical Architect

Tysons, VA · On-site

$69.75 - $86.50/hr

Experience working with Salesforce Data Cloud (CDP) for customer insights and analytics. 4. AI, Automation & Intelligent Agent Solutions • Leverage Salesforce AI and Einstein AI for predictive ...

System One

Salesforce Developer

Washington, VA · Remote

$56.75 - $75.25/hr

Utilize AI-driven automation tools such as Einstein AI and retrieval-augmented generation (RAG) to enhance development efficiency. * Coordinate with cross-functional teams in an Agile environment ...

System One

Salesforce Developer

Washington, VA · Remote

$56.75 - $75.25/hr

Utilize AI-driven automation tools such as Einstein AI and retrieval-augmented generation (RAG) to enhance development efficiency. * Coordinate with cross-functional teams in an Agile environment ...

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Einstein Ai information

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$64.5K

$139.5K

$182K

How much do einstein ai jobs pay per year?

As of Sep 7, 2026, the average yearly pay for einstein ai in the United States is $139,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,500.00 and $153,500.00 per year, depending on experience, location, and employer.

What is Einstein AI?

Einstein AI is Salesforce's artificial intelligence technology designed to bring advanced AI capabilities directly into the Salesforce platform. It enables users to automate tasks, gain predictive insights, and make smarter decisions by leveraging machine learning, natural language processing, and data analytics. Einstein AI is integrated into various Salesforce products, helping businesses personalize customer experiences, forecast sales, and optimize marketing campaigns. Users don't need extensive data science expertise to benefit from Einstein AI, as it is built to be user-friendly and accessible within Salesforce's ecosystem.

How does an Einstein AI Specialist typically collaborate with cross-functional teams to implement AI solutions within an organization?

An Einstein AI Specialist frequently works alongside teams such as data scientists, developers, and business analysts to design and deploy AI-driven features using Salesforce's Einstein platform. Collaboration often involves gathering business requirements, translating them into technical specifications, and ensuring smooth integration of AI models into existing workflows. Effective communication and project management skills are essential, as specialists need to bridge the gap between technical possibilities and business needs. Regular meetings and feedback loops help ensure that the delivered AI solutions meet organizational goals and user expectations.

What are the key skills and qualifications needed to thrive as an Einstein AI Specialist, and why are they important?

To excel as an Einstein AI Specialist, you need a strong background in data science, machine learning, and Salesforce platform expertise, often supported by relevant degrees and Salesforce certifications. Familiarity with Salesforce Einstein tools, predictive analytics platforms, and programming languages like Python or R is typically required. Exceptional problem-solving skills, communication abilities, and a collaborative mindset help drive successful AI solution implementation. These skills are critical for designing, deploying, and managing intelligent solutions that enhance business decision-making and customer experiences.

What is the difference between Einstein Ai vs Data Scientist?

AspectEinstein AiData Scientist
Required CredentialsTypically requires knowledge of AI platforms, cloud computing, and programming languages like Python or RRequires degrees in statistics, computer science, or related fields, often with certifications in data analysis or machine learning
Work EnvironmentOften integrated within cloud platforms, working on AI solutions for business applicationsWorks in diverse settings including research labs, tech companies, or consulting firms, analyzing data to inform decisions
Industry UsageUsed mainly in CRM, marketing, and enterprise AI solutionsApplied across industries like finance, healthcare, tech, and retail for data analysis and predictive modeling

While Einstein Ai focuses on deploying AI solutions within specific platforms like Salesforce, Data Scientists analyze data to develop models and insights across various industries. Both roles require technical skills, but Einstein Ai is more platform-specific, whereas Data Scientists have broader analytical responsibilities.

What does Einstein AI do?

Einstein AI is an artificial intelligence platform developed by Salesforce that integrates AI capabilities into customer relationship management (CRM) systems. It automates tasks, provides predictive analytics, and enhances decision-making through machine learning and natural language processing tools. Users typically need familiarity with CRM environments and AI concepts to effectively utilize Einstein AI features.
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Einstein Ai jobs near you
Infographic showing various Einstein Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $139,502 per year, or $67.1 per hour.

Salesforce Agentforce Developer / Lead

PeakLnk Technologies, Inc.

East Hartford, CT • On-site

$55 - $73/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job title: Salesforce Agentforce Developer / Lead

Location: Hartford, CT

Duration: Long term Contract

The client is looking for an experienced Agentforce resource with strong Salesforce technical expertise in Apex, Triggers, LWC, Integrations, Flows, and related Salesforce development areas.

Salesforce Agentforce Developer / Lead

Required Skills

  • 8+ years of Salesforce experience with Sales Cloud, Service Cloud, Experience Cloud, and Platform Development.
  • Hands-on experience with Salesforce Agentforce implementation and customization.
  • Strong understanding of AI Agents, Prompt Builder, Agent Builder, Einstein AI, and Generative AI capabilities within Salesforce.
  • Experience building Agentforce actions using:
    • Apex
    • Flows
    • REST/SOAP APIs
    • External Integrations
  • Expertise in:
    • Apex
    • Lightning Web Components (LWC)
    • Aura
    • SOQL/SOSL
    • Salesforce Security Model
  • Experience with Salesforce Data Cloud and AI-driven customer insights.
  • Strong integration experience using MuleSoft, Platform Events, Middleware, and external AI/LLM platforms.
  • Experience designing conversational workflows and AI-driven business processes.
  • Knowledge of prompt engineering, AI governance, and trusted AI practices.

Apply