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Salesforce Ai Jobs (NOW HIRING)

iFIT

Junior Salesforce AI Engineer

$56.75 - $75.25/hr

They are seeking a Junior Salesforce AI Engineer to enhance their Salesforce platform, focusing on AI tools to improve sales performance and forecasting accuracy through collaboration with cross ...

Meditore

Salesforce Developer

$56.75 - $75.25/hr

W2/ C2C/ 1099*** Role: Salesforce Developer - Agentforce Key Skills: • Salesforce Development (Apex, LWC, Visualforce) • Service Cloud • Agentforce / Einstein Bots / Salesforce AI • API ...

Programmers.io

Salesforce Developer

New York, NY · On-site

$60.75 - $80.50/hr

We are seeking a Salesforce Developer with experience in Agentforce and AI-driven automation within the Salesforce ecosystem. The ideal candidate will design| develop| and implement intelligent ...

Availity, LLC

Salesforce Developer III

$56.75 - $75.25/hr

Salesforce AI Associate - Preferred * Salesforce Agentforce Specialist - Preferred What you will be doing: * Serve as a technical resource for Salesforce projects including solution design ...

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Salesforce Ai information

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$40.5K

$98.9K

$155K

How much do salesforce ai jobs pay per year?

As of Jul 12, 2026, the average yearly pay for salesforce ai in the United States is $98,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $119,000.00 per year, depending on experience, location, and employer.

Does Salesforce work with AI?

Salesforce integrates AI through its Einstein platform, which provides AI-powered features such as predictive analytics, natural language processing, and automation within the Salesforce ecosystem. Salesforce professionals often need skills in AI, data analysis, and Salesforce development to implement and manage these AI capabilities effectively.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, machine learning director, or AI research lead, often requiring advanced skills in data science, programming, and AI frameworks. These roles usually involve leadership responsibilities, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. In the context of Salesforce AI, such roles may focus on developing AI-driven solutions within the Salesforce platform for enterprise automation and customer insights.

What are the typical daily responsibilities of a Salesforce AI professional?

As a Salesforce AI professional, your typical day involves working closely with stakeholders to identify business needs, designing AI-powered solutions within the Salesforce ecosystem, and configuring or customizing features using tools like Salesforce Einstein and Apex. You may analyze data trends, build predictive models, and provide insights or automation recommendations to business users. Collaboration with cross-functional teams—such as sales, marketing, and IT—is common to ensure seamless integration and user adoption. This role also requires staying updated with Salesforce releases and best practices to continually enhance platform capabilities.

What is a Salesforce AI job?

A Salesforce AI job involves leveraging artificial intelligence and machine learning within the Salesforce ecosystem to enhance customer relationship management (CRM), automate processes, and generate data-driven insights. Professionals in this role may work with Salesforce AI tools like Einstein GPT and predictive analytics to optimize sales, marketing, and customer service strategies. Responsibilities often include developing AI-powered solutions, integrating AI models, and improving business decision-making through intelligent automation.

Will AI take Salesforce Ai jobs?

Salesforce AI roles involve developing and managing AI-powered solutions within the Salesforce platform, requiring skills in AI, Salesforce development, and data analysis. While AI automation can handle repetitive tasks, Salesforce AI professionals are needed to design, implement, and oversee AI integrations, making their roles essential for leveraging AI effectively in business processes.

What are the key skills and qualifications needed to thrive in the Salesforce Ai position, and why are they important?

To thrive as a Salesforce AI professional, you need expertise in Salesforce platform administration and customization, a strong background in AI/ML concepts, and relevant experience in data analytics and business process automation. Familiarity with Salesforce Einstein, Apex, Lightning, and certifications like Salesforce Certified AI Associate or Salesforce Administrator are highly valued. Excellent problem-solving, communication, and stakeholder management skills set top performers apart. These abilities ensure effective implementation of AI-driven solutions, maximizing business value and successful adoption within organizations.

How much do Salesforce AI jobs pay?

Salesforce AI jobs typically offer salaries ranging from $80,000 to $150,000 annually, depending on experience, location, and specific role responsibilities. Senior positions or specialized skills in machine learning and data analysis can command higher compensation. Certifications in Salesforce and AI tools can also influence salary levels.
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Salesforce Ai jobs near you
Infographic showing various Salesforce Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $98,862 per year, or $47.5 per hour.
Senior Salesforce AI Architect

Senior Salesforce AI Architect

Connect Tech+Talent

Sunnyvale, CA

$81 - $100.25/hr

Other

Re-posted yesterday

Job description

Job Description Senior Salesforce AI Architect Sunnyvale, Bay Area, CA (Onsite) 1 Year Contract Location Preferred location: San Francisco Bay Area, California Hybrid work model preferred with regular onsite collaboration across Bay Area offices. Role Overview We are seeking a Senior Salesforce AI Architect to drive scalable AI adoption and business transformation across the Salesforce ecosystem. This role will focus on delivering practical AI-enabled business outcomes while establishing long-term architecture standards and enterprise AI integration patterns.

The ideal candidate has deep Salesforce platform expertise combined with strong understanding of enterprise AI strategy, customer engagement workflows, automation, and AI-powered user experiences. This individual will work closely with the GCP AI Architect and enterprise architecture teams to align Salesforce AI capabilities with the broader enterprise AI strategy. This role will play a critical part in balancing rapid delivery of business value with scalable, governed, and maintainable AI architecture decisions across the Salesforce platform.

Key Responsibilities AI Strategy & Enterprise Alignment Partner with the GCP AI Architect and enterprise architecture teams to shape the enterprise AI strategy and roadmap. Define how Salesforce AI capabilities align with broader enterprise AI platform initiatives. Evaluate Salesforce-native AI offerings, third-party AI tools, and custom AI solutions to support build-vs-buy decisions.

Help establish scalable AI architecture and governance standards across Salesforce domains. AI Use Cases & Business Value Delivery Identify and deliver high-value AI use cases across Sales Cloud, Service Cloud, Marketing Cloud, Experience Cloud, and customer operations. Drive practical AI adoption focused on improving customer experience, productivity, automation, insights, and operational efficiency.

Rapidly prototype and implement AI solutions that demonstrate measurable business impact. Partner with business stakeholders to prioritize scalable AI opportunities. Salesforce AI Solution Architecture Architect AI-powered solutions leveraging: Salesforce Einstein Agentforce Einstein Copilot Data Cloud Flow Automation MuleSoft Salesforce AI capabilities and ecosystem tools Design reusable frameworks and patterns for AI-enabled CRM workflows, customer service automation, copilots, and intelligent engagement.

Establish architecture standards for AI implementations across Salesforce platforms. Ensure scalability, maintainability, and enterprise alignment of AI solutions. Enterprise AI Integration Collaborate with GCP AI platform teams to integrate enterprise AI services into Salesforce experiences and workflows.

Design secure integrations between Salesforce, ServiceNow, enterprise APIs, data platforms, and AI services. Help standardize AI orchestration and integration patterns across enterprise platforms. Enable scalable access to enterprise AI services within Salesforce applications.

AI Governance & Responsible AI Help define responsible AI standards and governance practices for Salesforce AI implementations. Ensure compliance with enterprise security, privacy, and regulatory requirements. Implement governance controls around customer data, AI-generated content, automation approvals, and model usage.

Partner with security and compliance teams to operationalize AI risk management practices. Platform Enablement & Operationalization Enable Salesforce engineering and product teams with reusable AI patterns, templates, and implementation standards. Provide technical leadership for AI solution design, deployment, and operational support.

Help establish scalable support and operational models for AI-enabled Salesforce capabilities. Drive enterprise adoption of AI best practices across Salesforce teams. Required Qualifications 8+ years of Salesforce architecture and platform engineering experience.

Strong expertise across: Sales Cloud Service Cloud Experience Cloud Marketing Cloud MuleSoft Salesforce platform architecture Hands-on experience with: Salesforce Einstein Agentforce Einstein Copilot Data Cloud Experience designing enterprise CRM and customer engagement solutions. Strong understanding of AI/GenAI adoption patterns and enterprise AI strategy. Experience evaluating build-vs-buy AI technology decisions.

Strong collaboration and stakeholder management skills. Excellent communication and executive presentation capabilities. Preferred Qualifications Salesforce Certified Technical Architect (CTA) preferred.

Experience integrating Salesforce with enterprise AI platforms such as GCP Vertex AI, OpenAI, or Azure OpenAI. Familiarity with AI orchestration, copilots, RAG, and conversational AI solutions. Experience working on enterprise AI transformation initiatives.

Experience collaborating across multiple enterprise platform teams including ServiceNow and cloud engineering.

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