Enterprise · CRM
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.
Currently tracking 98 active AI roles, down 53% versus the prior 4 weeks. Primary focus: Agent · Engineering.
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).
| 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 |