Salesforce currently has 139 active job listings related to artificial intelligence. The majority of these roles, 83%, are focused on agents. Engineering is the most frequent function hiring for these positions, with 108 roles. Recent hiring activity shows a significant increase, with 135 new AI roles posted in the last 30 days, a 238% rise compared to the preceding 30-day period. Key technologies mentioned in these listings include agent orchestration, LLM observability, and tool use.
Salesforce currently has 169 active AI-related roles in our index. The most common open titles are: Forward Deployed Engineer (7), AI Builder, Emerging Talent (3), Agentforce Forward Deployed Engineer (3), AI Builder, Emerging Talent - Arabic Market (2), AI Builder, Emerging Talent - BNL Market (2). Most positions are in Engineering and Product.
Salesforce's active AI hiring is concentrated in: agents (84%), application (8%), serving infrastructure (3%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Salesforce is hiring AI talent in: United States (94 roles), Mexico (19 roles), Ireland (12 roles), Spain (7 roles).
Job postings at Salesforce most frequently reference: agent orchestration, llm observability, tool use, rag, model serving.
In the past 30 days, Salesforce has posted 95 new AI-related roles. That is a -32% change versus the prior 30 days (140 → 95).
Currently tracking 98 active AI roles, down 53% versus the prior 4 weeks. Primary focus: Agent · Engineering.
| Title | Stage | AI score |
|---|---|---|
| Principal Agentic Data Systems Engineer Salesforce is seeking a Principal Agentic Data Systems Engineer to architect and manage a private ecosystem of autonomous agents for ETL, synthetic data generation, automated QA, and predictive modeling. This role involves designing multi-step reasoning architectures, verification protocols, and managing hand-off protocols between specialized AI agents, acting as a central anchor for a hybrid human-agent intelligence unit. The engineer will also develop and maintain Model Context Protocol (MCP) servers for agent access to data sources. | AgentData | 9 |
| AI Engineer - Forward Deployed Engineer (Multiple Levels) Salesforce is seeking an AI Engineer - Forward Deployed Engineer to design, develop, and implement bespoke AI solutions leveraging their Agentforce platform and other technologies. The role involves end-to-end technical delivery, removing technical blockers, building AI solutions with LLMs and intelligent agents, data configuration and integration, and driving innovation on the Agentforce platform. Requires strong programming skills, hands-on experience with AI/LLM technologies, and data platforms. |
| Agent |
| 8 |
| Machine Learning Platform Engineer Lead AI Platform Engineer responsible for building, maintaining, and scaling the core infrastructure, platform services, and CI/CD pipelines that underpin machine learning initiatives and product launches. This role emphasizes using AI tools (like Claude Code and autonomous agents) to accelerate development workflows, infrastructure-as-code, and platform component development. The engineer will also build and curate an internal AI tool and skills marketplace and ensure security and compliance for AI tooling. | AgentServe | 8 |
| Principal AI Engineer Seeking a Principal AI Engineer to build and maintain the ML/AI platform powering autonomous AI agents at enterprise scale. This role focuses on agent harness infrastructure, sandboxed execution, evaluation frameworks, CI/CD pipelines for agent deployment, and overall platform architecture and reliability. The goal is to enable the development, testing, and trusted production deployment of AI agents across various Salesforce verticals. | AgentEval Gate | 8 |
| Lead AI Engineer Lead AI Engineer to drive the development of next-generation AI and ML systems, focusing on building an agent flywheel with self-improving feedback loops. The role involves designing and implementing feedback loops for agent evaluation and optimization, developing production ML models and AI agents that combine LLM reasoning and tool usage, and engineering data pipelines for training and evaluation. Emphasis on closing the loop from production signals to model improvements and building hybrid systems blending deterministic logic, model-based scoring, and LLM generation. | AgentPost-train | 8 |
| AI Builder, Emerging Talent Salesforce is seeking early-career AI Builders to design, develop, and deploy agentic solutions for Fortune 500 companies. This role involves building AI agents that take real actions, designing agent intelligence (prompts, reasoning, tool calls), supporting the technical lifecycle, and collaborating with clients to create agentic solutions. The program emphasizes hands-on technical skill development, mentorship, and real-time customer impact. | Agent | 8 |
| Lead Agentic Data Systems Engineer Lead Agentic Data Systems Engineer responsible for architecting and maintaining a private ecosystem of 10+ autonomous agents for ETL, synthetic data generation, automated QA, and predictive modeling. The role involves designing multi-step reasoning architectures, verification protocols, and governance for agents, as well as developing MCP servers for data access. Requires strong Python, SQL, dbt, Airflow, Spark, Snowflake, and agentic framework expertise. | AgentData | 8 |
| AI Platform Engineer Salesforce is seeking a Lead AI Platform Engineer to build, maintain, and scale the core infrastructure and platform services for their ML initiatives. The role emphasizes using AI tools like Claude Code and autonomous agents to accelerate development workflows, infrastructure authoring, and CI/CD pipelines. Responsibilities include developing ML platform components, internal developer tools, and an AI tool marketplace, while ensuring security and compliance. | AgentServe | 7 |
| Lead Data Engineer | Senior Python & SQL Salesforce is seeking a Lead Data Engineer to build and manage data solutions for their Customer Success Data Platform, which supports AI and analytics initiatives. The role involves designing retrieval systems for AI agents, building infrastructure for causal modeling, developing customer identity graphs, modernizing data architecture for AI consumption, and ensuring data quality for real-time insights. The candidate will collaborate with cross-functional teams, lead automation efforts for data delivery pipelines, and integrate with AI orchestration layers. A strong AI-first approach to engineering, including using AI development tools and advanced prompt engineering, is required. | AgentData | 7 |
| Senior / Lead Software Developer | Data Engineer Expert This role focuses on building and managing data solutions for AI agents, including retrieval systems, inference infrastructure, and customer graphs. It involves modernizing data architecture for AI consumption, ensuring data quality for agents, and leading AI integration efforts. The role emphasizes using AI tools in development and designing systems where AI agents integrate into human workflows. | AgentData | 7 |
| Senior Software Engineer Senior Software Engineer role focused on the Customer Success Data Platform, involving full-stack development, AI integration, and orchestrating AI agents into human workflows. The role emphasizes using AI tools in the development process and critically evaluating AI-generated code. | Agent | 7 |
| Software Engineer DET| SSR Salesforce is seeking a Software Engineer to develop and configure Agentforce agents, focusing on building new features, leveraging Salesforce technologies, and ensuring customer support quality. The role involves prompt engineering, testing LLM-based agents, and contributing to an AI-first engineering approach. | Agent | 7 |
| Software Engineer - Keynote Demos Software Engineer for Salesforce's Keynote Demos team, focusing on creating innovative and visually engaging product demonstrations that incorporate AI agents and emerging technologies. The role involves prototyping future features, owning software architecture for demos, and building production-grade software with AI as a core part of the development workflow. | Agent | 7 |
| Senior Software Engineer - Python/SQL Senior Software Engineer role focused on designing, developing, and maintaining integrations and data connectors, with a strong emphasis on leveraging AI tools and agentic systems in the development workflow. The role involves building and orchestrating complex systems where AI agents integrate into human workflows, contributing to shared system context for AI reliability, and critically evaluating AI-generated code. Requires advanced prompt engineering skills and experience with AI development tools. | Agent | 7 |
| Senior Software Engineer– Salesforce Full Stack Developer Senior Software Engineer (SMTS) role focused on designing and developing scalable Salesforce applications, including architecting full stack solutions, API-led integrations, and building AI-powered agents with Agentforce. The role emphasizes leveraging modern AI tools and prompt engineering for development workflows. | Agent | 7 |
| Sr. Success Architect - Marketing Cloud This role is for a Sr. Success Architect focused on customer migration engagements for Salesforce Marketing Cloud. The primary responsibility is to lead complex migrations, acting as a technical and strategic orchestrator. A key aspect involves driving the adoption of AI agents and automation tools to accelerate discovery, mapping, and code conversion, and using natural-language commands for AI agents to retrieve data and generate reports. While AI tools are used extensively to improve delivery timelines and efficiency, the core deliverable is the successful migration of customer environments to modern cloud architectures, not the development or direct shipment of AI models themselves. | — | 5 |
| Salesforce Developer Salesforce Developer role focused on building next-generation solutions on the Salesforce platform, leveraging AI tools to enhance engineering productivity, code quality, and automate workflows across the SDLC. Requires strong Salesforce development experience with Apex, LWC, and a solid understanding of Salesforce architecture, with a preference for AI-assisted development tools or AI/ML concepts. | — | 5 |
| Software Engineering MTS This role focuses on developing internal technology solutions on the Salesforce platform, with a strong emphasis on integrating AI agents into human workflows and using AI tools within the development process. The candidate will design, develop, test, and enhance applications, collaborate with stakeholders, and critically evaluate AI-generated code. While AI is a core part of the workflow and agent integration is key, the primary deliverable is still within the Salesforce platform, suggesting an applied AI engineering role. | Agent | 5 |
| Salesforce Developer Junior (AMTS) Salesforce is seeking a Junior Salesforce Developer to build next-generation solutions on the Salesforce platform, leveraging AI to accelerate engineering, improve code quality, and enhance productivity. The role involves designing and developing scalable solutions, writing Apex and LWC code, and integrating AI tools into the software development lifecycle. The candidate will also contribute to building shared system context for AI agents and critically evaluate code. Requires 2+ years of Salesforce development experience with Apex, LWC, Aura, and Flows, and hands-on exposure to AI-assisted development tools or a strong understanding of AI/ML concepts. | — | 5 |
| Salesforce Full Stack Developer (MTS) Salesforce is seeking a Full Stack Developer (MTS) to design, develop, and maintain scalable Salesforce applications. The role involves building solutions using Apex, LWC, and integrating APIs. A key aspect is building and implementing intelligent agents using Salesforce Agentforce, orchestrating systems where AI agents integrate into human workflows, and critically evaluating AI-generated code. The role requires a genuine AI-first approach to engineering, using AI tools to accelerate development, and advanced prompt engineering skills. | Ship | 5 |
| Success Engineer Salesforce is seeking a Success Engineer to help customers adopt and leverage their AI CRM platform. This role involves technical onboarding, accelerating product adoption, providing mission-critical support for complex issues including AI/Agentforce implementations, and championing best practices. The ideal candidate will have a strong engineering background, experience with enterprise software, and the ability to translate business objectives into technical solutions. | — | 5 |
| Quality Engineering MTS This Quality Engineering role at Salesforce focuses on ensuring platform quality for AI CRM solutions, particularly in back-office and operational processes within financial services. The role involves developing QA protocols, collaborating with development teams, analyzing feedback, and identifying opportunities to use AI tools to improve efficiency and quality. While the company is AI-focused and uses AI tools, the core craft of this specific role is quality engineering and process improvement, not direct AI/ML model development. | — | 2 |
| Technical Consultant Salesforce is seeking Technical Consultants to deliver complex Salesforce solutions, including AI-powered features, for customers. The role involves collaborating with stakeholders, managing technical delivery of custom development and integrations, mentoring junior consultants, and ensuring quality and scalability of solutions. Requires strong hands-on development experience on the Salesforce platform, knowledge of various clouds, integration patterns, and platform capabilities. | — | 0 |
| Technical Architect Salesforce is seeking a Technical Architect to join their Global Delivery Centre (GDC) team. The role involves designing and leading the delivery of complex Salesforce solutions for customers, leveraging various Salesforce products, APIs, and integration technologies. The Technical Architect will translate business requirements into scalable, long-term solutions, provide technical oversight, lead code reviews, and manage the technical delivery of custom development, integrations, and data migration. The role also involves debugging, potential pre-sales activities, and liaising with product teams. Travel to client sites is expected. | — | 0 |
| Salesforce Technical Consultant GDC Salesforce is seeking a Senior Technical Consultant to implement and deploy brand new Cloud-based solutions for sophisticated customers. This role involves owning standard configurations, custom development, data migration, and leading deployment strategies using Salesforce technologies. The consultant will also apply troubleshooting strategies, work in an agile environment, and collaborate with global teams, potentially acting as a Team Lead. | — | 0 |
| Salesforce Developer - Affirmative Action Vacancy for Women Salesforce is seeking an experienced Force.com Software Developer to join their applications development team. The role involves developing highly scalable internal applications using Force.com technologies, including Apex Code, Lightning, and Visualforce Pages. Responsibilities span the full development lifecycle, from front-end to back-end, with a focus on enhancing existing code and frameworks, and building new features. Experience with Javascript, CSS, SOAP XML, HTML, SOQL, and SOSL is required, along with a strong background in CI/CD. | — | 0 |