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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 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 ...

$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 ...

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 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 ...

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 ...

Salesforce Solutions Architect

Sterling, VA · On-site

$68.25 - $84.75/hr

Salesforce AI / Agentforce Required Skills * Strong client-facing consulting experience * Executive-level communication and presentation skills * Business requirements gathering * Business process ...

Showing results 21-40

Salesforce Ai information

See salary details

$40.5K

$98.9K

$155K

How much do salesforce ai jobs pay per year?

As of Aug 10, 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.

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?

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.

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.

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 August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $98,862 per year, or $47.5 per hour.

Research Scientist - Salesforce AI Research

Salesforce, Inc.

Palo Alto, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 24 days ago


Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

112th of 242 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Experience

Salesforce AI Research is looking for outstanding AI Research Scientists and Research Engineers. Our team discovers new research problems, develops novel models, and bridges the gap between groundbreaking theory and customer-facing reality. We are dedicated to a high-impact research model that provides the best of both worlds: the ability to advance the state-of-the-art in AI and the opportunity to see that work operate at massive, real-world scale within the world's #1 AI CRM. We believe that making substantive progress on hard, enterprise-level applications drives and sharpens the research questions we study - and that the best researchers are also builders.
Learn more about our team at salesforceairesearch.com.
Candidates have a strong background in one or more of the following areas:
  • Agentic AI and Reasoning: Large language model (LLM)-powered agents, reinforcement learning (RL), reasoning and planning, autonomous workflows, self-evolving agent systems, computer use agents, deep research agents, and coding agents.
  • Multimodal and Computer Vision: Vision-language models (VLM), video understanding, visual grounding for agents, and multimodal AI agents.
  • Speech Intelligence: Voice intelligence, text-to-speech/automatic speech recognition (TTS/ASR), human-like turn-taking, and low-latency audio processing.
  • Core Modeling and Post-Training: Machine learning methodology, pre-training and post-training techniques including reinforcement learning from human feedback (RLHF) and direct preference optimization (DPO), model distillation, evaluation, causal inference, and time series modeling.

What You'll Actually Be Doing
  • Discover new research problems, develop novel models, and translate cutting-edge ideas into practical, high-performance implementations that reach millions of users.
  • Design, train, evaluate, and deploy neural networks and agent systems for enterprise applications at massive scale.
  • Lead LLM fine-tuning, post-training, and model optimization tasks, including the application of RL and simulation to improve model accuracy and reliability.
  • Collaborate across a cross-functional team of researchers and engineers to deliver complex projects that directly impact our core AI products and customer experiences.

You're Our Person If...
  • You have a Ph.D., Master's, or equivalent industry/research experience in Computer Science, Machine Learning, or a related technical field.
  • You have a strong publication record at top AI venues (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ACL, EMNLP) and/or a proven track record of shipping AI research into real-world products.
  • You are motivated by real-world impact - you care about seeing your research leave the lab and reach users at scale.
  • You bring demonstrated expertise in one or more core focus areas: LLMs, Agentic Systems, RL, Computer Vision and Multimodal, or Speech Intelligence.
  • You are proficient in Python and deep learning libraries such as PyTorch, JAX, or DeepSpeed.

Even Better If...
  • You have experience training and evaluating large-scale multimodal or speech models, including techniques for alignment, safety, and latency optimization.
  • You have designed and deployed AI agents - including computer use agents, deep research agents, or tool-using agents - in real-world or research settings.
  • You have hands-on experience with RL, simulation, or self-evolving agent systems.
  • You have experience with production cloud deployments (AWS/GCP), container orchestration (Kubernetes), or machine learning operations (MLOps).
  • You are thoughtful about responsible AI, trust, and the real-world impact of the systems you build.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $117,200 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $141,200 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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