1

Salesforce Ai Jobs (NOW HIRING)

Sr. AI Engineer I (Salesforce) (6637)

Washington, DC · On-site

$142K - $173K/yr

As Sr. AI Engineer I (Salesforce) , you'll support a Salesforce-centered modernization and digital transformation program. This role will design, develop, and deploy AI-driven Salesforce applications ...

Salesforce AI Use Case Developer

Arlington, VA

$63.75 - $84.50/hr

You will design and configure AI agents, prototype automation workflows, build Salesforce Flow logic, and ship working proofs-of-concept in days - not weeks. You sit at the intersection of AI tooling ...

$51.75 - $68.50/hr

You will design and configure AI agents, prototype automation workflows, build Salesforce Flow logic, and ship working proofs-of-concept in days - not weeks. You sit at the intersection of AI tooling ...

Sr. AI Engineer I (Salesforce) (6637)

Washington, DC · On-site

$142K - $173K/yr

As Sr. AI Engineer I (Salesforce) , you'll support a Salesforce-centered modernization and digital transformation program. This role will design, develop, and deploy AI-driven Salesforce applications ...

$42.75 - $56.75/hr

You will design and configure AI agents, prototype automation workflows, build Salesforce Flow logic, and ship working proofs-of-concept in days - not weeks. You sit at the intersection of AI tooling ...

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 ...

Salesforce AI Use Case Developer

Arlington, VA · On-site

$63.75 - $84.50/hr

You will design and configure AI agents, prototype automation workflows, build Salesforce Flow logic, and ship working proofs-of-concept in days - not weeks. You sit at the intersection of AI tooling ...

Salesforce Agentforce Architect

Dallas, TX · On-site

$68.25 - $84.50/hr

Define enterprise AI architecture frameworks for Salesforce, including agent orchestration, prompt engineering, trust boundaries, governance models, security controls, and scalable deployment ...

Sr. Salesforce Developer

Denver, CO · Remote

$130K - $160K/yr

We equip agencies, MGAs, and carriers with the core digital systems, specialized AI, and data ... Serve as the senior technical authority for Salesforce architecture, integrations, and release ...

Salesforce Gen AI Architect

Chicago, IL · On-site

$71 - $88/hr

Job Title: Salesforce Gen AI Architect Location: Chicago, IL Onsite Industry: Healthcare / Life Sciences Job Category: Salesforce Architecture / AI Integration Overview: We are looking for a ...

Salesforce Architect

Atlanta, GA · On-site

$60 - $65/hr

Salesforce Architect - Telecom & AI Location: Atlanta, GA / Onsite Duration: Contract / W2 We are looking for an experienced Salesforce Architect with strong expertise in designing and implementing ...

Senior Salesforce Agentforce Engineer

$128K - $157K/yr

Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy ... As a Senior Salesforce Agentforce Engineer , you'll partner with enterprise clients to design and ...

Senior Salesforce Developer (Remote)

$128K - $157K/yr

... AI-driven automations, contextual insights, and predictive decision-making. • Apply hands-on AI experience, including prompt engineering and generative AI tools, to enhance Salesforce-powered ...

next page

Showing results 1-20

Salesforce Ai information

See salary details

$40.5K

$98.9K

$155K

How much do salesforce ai jobs pay per year?

As of Jul 15, 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.
More about Salesforce Ai jobs
What cities are hiring for Salesforce Ai jobs? Cities with the most Salesforce Ai job openings:
What are the most commonly searched types of Salesforce Ai jobs? The most popular types of Salesforce Ai jobs are:
What states have the most Salesforce Ai jobs? States with the most job openings for Salesforce Ai jobs include:
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.
Sr. AI Engineer I (Salesforce) (6637)

Sr. AI Engineer I (Salesforce) (6637)

MetroStar

Washington, DC • On-site

$142K - $173K/yr

Other

Re-posted 5 days ago


Job description

As Sr. AI Engineer I (Salesforce), you'll support a Salesforce-centered modernization and digital transformation program. This role will design, develop, and deploy AI-driven Salesforce applications, autonomous agents, intelligent workflows, and decision-support capabilities that accelerate mission outcomes through automation, predictive insights, and human-AI collaboration.

The ideal candidate will combine deep Salesforce development expertise with hands-on experience implementing Agentforce, Einstein AI, Prompt Builder, Data Cloud, and generative AI capabilities. This individual will be a key contributor within an AI-enabled development team responsible for rapidly delivering mission-critical solutions through intelligent automation, agentic AI, modern software engineering practices, and continuous innovation.

We know that you can't have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you'll do:

  • 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.

What you'll need to succeed:

  • 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.

SALARY RANGE: $170,000.00 - $185,000.00

The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including: 

  • The candidate's professional background and relevant work experience
  • The specific responsibilities of the role and organizational needs
  • Internal equity and alignment with current team compensation
  • This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include:
    • Performance-based bonuses
    • Company-paid training and/or certifications
    • Referral bonuses