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Einstein Ai Jobs (NOW HIRING)

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 ...

GHK Technologies Inc.

Salesforce Manager

Tempe, AZ · On-site

... Einstein AI and Agentforce capabilities to improve sales efficiency, pipeline accuracy, and revenue predictability. • Drive user training, adoption, change management, and business process ...

System One

Salesforce Developer

Washington, VA · Remote

$56.75 - $75.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Availity, LLC

Salesforce Developer III

$56.75 - $75.25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Knowledge of Einstein AI, Agentforce, and Salesforce AI technologies preferred. Certifications: * Salesforce Certified Platform Developer I - Required * Salesforce Certified Platform Developer II - ...

Tata Consultancy Service Limited

Salesforce Tech Lead

Houston, TX · On-site

$150K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Einstein AI/Agentforce • Salesforce Platform Developer II certification (mandatory) Roles & Responsibilities • Lead Salesforce solution design, development, and technical delivery across Sales ...

Availity

Salesforce Developer III

$56.75 - $75.25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Knowledge of Einstein AI, Agentforce, and Salesforce AI technologies preferred. Certifications: * Salesforce Certified Platform Developer I - Required * Salesforce Certified Platform Developer II - ...

SiTime Corporation

Salesforce Manager

Tempe, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Evaluate, configure, and drive adoption of Salesforce Einstein AI and Agentforce features to deliver measurable improvements in sales efficiency, pipeline accuracy, and revenue predictability.

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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 Aug 18, 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, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $139,502 per year, or $67.1 per hour.

Salesforce Technical Architect

Apptad, Inc.

Tysons, VA • On-site

$69.75 - $86.50/hr

Contractor

Posted 11 days ago

Job description

Senior Salesforce Technical Architect
Location: Onsite(Tysons, VA)
Industry: Banking / Financial Services
This role requires hands-on Salesforce Financial Services Cloud (FSC) development experience, deep expertise in Lightning Web Components (LWC), Lightning Web Runtime (LWR), Salesforce AI, and AgentForce, as well as AutoRABIT for DevOps and release management. Experience with Salesforce Data Cloud is a plus.
Digital Banking Experience
• Strong experience in digital banking transformation, omnichannel banking, and self-service portals.
• Deep understanding of core banking integrations, Open Banking APIs, real-time transactions, and financial security protocols.
• Proven ability to optimize Salesforce solutions for digital banking customer experiences.
Key Responsibilities:
1. Architecture & Solution Design
• Define and implement enterprise-scale Salesforce architecture aligned with digital banking modernization.
• Develop scalable, high-performance solutions integrating Salesforce Financial Services Cloud (FSC), Experience Cloud, and Data Cloud.
• Design interactive, high-performance UI components using Lightning Web Components (LWC) and Lightning Web Runtime (LWR).
• Ensure best practices and governance for scalable Salesforce implementations.
2. Hands-On Salesforce Development
• Lead complex Apex development, Lightning Web Components (LWC), and Flows.
• Optimize Apex, Batch Processing, Platform Events, and Asynchronous Processing to handle high-volume banking transactions.
3. Integration & Data Strategy
• Architect API-first integration strategies using MuleSoft, REST, SOAP, and Event-Driven Architecture (Kafka, AWS etc.).
• Good to Have: 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 analytics, customer engagement, and process automation.
• Implement AgentForce for AI-driven customer service workflows, intelligent case routing, and chatbot automation.
• Develop AI-driven recommendations to enhance wealth management, lending, and fraud detection.
5. Security & Compliance
• Implement Salesforce Shield (Encryption, Event Monitoring, Field Audit Trail) for banking regulatory compliance.
• Ensure OAuth, SAML, Mutual TLS, and Zero Trust Security models for secure authentication and API access.
6. DevOps, Performance Optimization & Release Management
• Good to Have: Experience with AutoRABIT for release automation, metadata management, and version control.
• Drive performance benchmarking and governor limits optimization for high-scale Salesforce deployments.
7. Leadership & Stakeholder Engagement
• Work closely with business leaders, C-level executives, and IT teams to align Salesforce strategies with digital banking objectives.
• Lead Salesforce development teams, conduct code reviews, and mentor architects & developers.
• Establish enterprise-wide best practices, reusable frameworks, and design patterns for Salesforce adoption in banking.
Required Skills & Qualifications:
20+ years of overall IT experience, with at least 15+ years in Salesforce architecture.
Mandatory Hands-On Salesforce Development (Apex, LWC, LWR, OmniStudio).
Mandatory Digital Banking Experience (Retail, Corporate, Wealth, or Payments).
Strong expertise in LWC (Lightning Web Components) and LWR (Lightning Web Runtime).
Experience with Salesforce AI, AgentForce, and Einstein AI-driven solutions.
Expertise in Salesforce Financial Services Cloud (FSC), Experience Cloud, and Data Cloud.
Good to Have: Experience with AutoRABIT and Salesforce Data Cloud for advanced data management and release automation.
Preferred Industry Experience:
Retail & Corporate Banking Digital Transformation
Payments, Open Banking Solutions
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About Apptad

Sourced by ZipRecruiter

Apptad offers strategic consulting, enterprise information management and digital transformation services. With globally connected offices in US and India along with a team of trained and certified IT resources, Apptad ensures quick and effective delivery to its customers.Apptad is relentlessly reinventing the outlook of how companies leverage data. With an effort to enable our customers the ability to solve biggest problems within their organization. We perceive our clients’ problems and respond with custom solutions instead of handing over boilerplate responses.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Reston, VA, US

Year founded

2018

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