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Einstein Ai Jobs (NOW HIRING)

MetroStar

Sr. AI Engineer I (Salesforce) (6637)

Washington, DC · On-site

$141K - $173K/yr

... Einstein AI, Data Cloud, and emerging Salesforce AI capabilities. • Configure prompts, agent actions, grounding strategies, knowledge integrations, retrieval mechanisms, and orchestration workflows ...

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 ...

Tribune Media

Salesforce Solution Architect

Irving, TX

$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 ...

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 ...

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 ...

System One Holdings, LLC

Salesforce Developer

Washington, VA · On-site

$58.50 - $77.50/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 ...

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Einstein Ai information

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$64.5K

$139.5K

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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.

Sr. AI Engineer I (Salesforce) (6637)

MetroStar

Washington, DC • On-site

$141K - $173K/yr

Full-time

Re-posted 9 days ago

Job description

Job Summary:
MetroStar is a company focused on delivering innovative technology services, and they are seeking a Sr. AI Engineer I (Salesforce) to support a Salesforce-centered modernization and digital transformation program. The role involves designing, developing, and deploying AI-driven Salesforce applications and intelligent workflows to enhance mission outcomes through automation and predictive insights.
Responsibilities:
• Design, develop, and deploy AI-driven Salesforce applications that improve mission effectiveness, operational efficiency, and user productivity.
• Build and maintain custom Salesforce solutions using Apex, Lightning Web Components (LWC), Flows, Platform Events, APIs, and declarative platform capabilities.
• Design, configure, and deploy Salesforce Agentforce agents that automate business processes, support decision-making, and enhance user experiences.
• Develop autonomous and semi-autonomous agents capable of performing business functions, orchestrating workflows, retrieving knowledge, generating recommendations, and supporting mission execution.
• Implement AI-driven workflow automation leveraging Agentforce, Prompt Builder, Einstein AI, Data Cloud, and emerging Salesforce AI capabilities.
• Configure prompts, agent actions, grounding strategies, knowledge integrations, retrieval mechanisms, and orchestration workflows to deliver secure and effective AI solutions.
• Design and implement human-in-the-loop AI experiences that balance automation with governance, transparency, accountability, and mission oversight.
• Build AI-native user experiences that integrate conversational interfaces, intelligent recommendations, workflow automation, and decision-support capabilities directly into Salesforce applications.
• Develop integrations between Salesforce, Agentforce agents, enterprise systems, data platforms, and external AI services to support intelligent workflow orchestration.
• Design scalable architectures that combine structured data, unstructured content, enterprise knowledge sources, and AI reasoning capabilities.
• Develop reports, dashboards, analytics, and AI-driven insights leveraging CRM Analytics, Data Cloud, and enterprise data sources.
• Collaborate closely with Product Managers, Architects, UX Designers, Scrum Masters, and DevSecOps Engineers to deliver AI-enabled solutions aligned to business objectives.
• Leverage AI-assisted development tools and emerging technologies to accelerate software delivery, improve code quality, automate testing, and increase developer productivity.
• Ensure solutions align with security, governance, responsible AI principles, compliance requirements, and federal standards.
• Support Agile development activities including sprint planning, backlog refinement, code reviews, testing, demonstrations, and continuous delivery.
• Troubleshoot, optimize, and continuously improve Salesforce applications, AI agents, automations, integrations, and intelligent workflows.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
• Active Secret clearance
• Must be local to the DMV area with the ability to support onsite requirements in Washington, DC.
• Salesforce Platform Developer I Certification and Salesforce AI Associate Certification.
• 5+ years of experience developing Salesforce applications in enterprise environments, with strong hands-on expertise in Apex, Lightning Web Components (LWC), Salesforce Flows, Platform Events, APIs, and platform customization.
• Demonstrated hands-on experience implementing Salesforce Agentforce solutions, including Einstein AI, Prompt Builder, and Data Cloud in enterprise environments.
• Experience developing AI-powered solutions such as agentic workflows, intelligent automation, autonomous agents, and business process optimization using generative AI, LLMs, RAG, and enterprise knowledge integration.
• Experience integrating Salesforce with external systems using APIs, middleware, event-driven architectures, and cloud-native patterns, supporting enterprise modernization and cloud-based delivery initiatives.
• Strong understanding of Salesforce security, governance, and compliance, along with responsible AI principles, and experience working in Agile development and continuous delivery environments.
Company:
MetroStar, a Veritas Capital portfolio company, is delivering next-generation products and solutions to U.S. government agencies. Founded in 1999, the company is headquartered in Reston, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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