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Einstein Ai Jobs (NOW HIRING)

SOFT Inc.

SalesForce Architect

Manhattan, NY · On-site

$76 - $94.25/hr

... 360, CRMA, Einstein AI, reporting, dashboards Working knowledge of Microsoft Dynamics 365 security and multi-app deployments Experience with CI/CD, DevOps, Scrum, and multi-environment release ...

WOWK-TV

Salesforce Solution Architect

Irving, TX · On-site

$66.25 - $82/hr

AI & Data: Direct experience or strong functional knowledge of Agentforce, Data Cloud, and Einstein AI tools. DevOps Tooling: Proficiency with Jira, GitHub, and Copado for lifecycle management and ...

Honeywell

Advanced Data Scientist

Hamilton, NJ · On-site

Lead the development of intelligent agent solutions leveraging Salesforce Agentforce and Einstein AI capabilities. * Build predictive models for customer behavior, lead scoring, opportunity ...

Honeywell

Advanced Data Scientist

Hamilton, NJ

Lead the development of intelligent agent solutions leveraging Salesforce Agentforce and Einstein AI capabilities. * Build predictive models for customer behavior, lead scoring, opportunity ...

Tribune Media

Salesforce Solution Architect

Irving, TX · On-site

$66.25 - $82/hr

AI & Data: Direct experience or strong functional knowledge of Agentforce, Data Cloud, and Einstein AI tools. DevOps Tooling: Proficiency with Jira, GitHub, and Copado for lifecycle management and ...

Nexstar Media Group

Salesforce Solution Architect

Irving, TX · On-site

$66.25 - $82/hr

Direct experience or strong functional knowledge of Agentforce, Data Cloud, and Einstein AI tools. • DevOps Tooling: Proficiency with Jira, GitHub, and Copado for lifecycle management and ...

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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 8, 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.

Senior Salesforce Technical Lead/Salesforce Engineering Lead

VDart, Inc.

Juno Beach, FL • On-site

$122K - $150K/yr

Other

Re-posted 26 days ago

Job description

We are seeking a highly experienced Senior Salesforce Technical Lead to lead the design, development, and implementation of enterprise-scale Salesforce solutions. This role requires deep expertise in Salesforce platform development, architecture, integrations, and AI-driven capabilities within the Salesforce ecosystem.

The ideal candidate will have strong hands-on experience with Apex, Lightning Web Components (LWC), Visualforce, Flow, integrations, and Salesforce AI technologies such as Einstein AI and Data Cloud. This individual will provide technical leadership, mentor development teams, and collaborate closely with architects, business stakeholders, and cross-functional teams to deliver scalable and innovative Salesforce solutions.

Required Qualifications
  • Bachelor s Degree in Computer Science, Engineering, Information Technology, or related field
  • 7+ years of hands-on Salesforce development experience
  • Strong expertise in Apex, Lightning Web Components (LWC), Visualforce, Salesforce Flow, and declarative automation tools
  • Proven experience leading technical teams and delivering enterprise-level Salesforce implementations
  • Strong understanding of Salesforce architecture, security models, and platform best practices
  • Experience implementing AI-driven Salesforce capabilities such as Einstein Analytics, Einstein Bots, predictive modeling, or generative AI solutions
  • Hands-on experience with REST/SOAP APIs, integrations, and middleware platforms
  • Salesforce Platform Developer I certification required
  • Salesforce Platform Developer II and Application Architect certifications preferred
  • Excellent leadership, communication, analytical, and problem-solving skills
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About V Dart

Sourced by ZipRecruiter

Industry

Software development, internet and it and professional, scientific, and technical services

Company size

1,001 - 5,000 Employees

Headquarters location

Alpharetta, GA, US

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