Salesforce
Enterprise · CRM
- HQ
- San Francisco, US
- Founded
- 1999
- Size
- 35,000+
- Website
- salesforce.com
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 |
|---|---|---|
| AI Forward Deployed Engineer (Senior/ Lead/Principal) Senior/Lead/Principal Forward Deployed Engineer responsible for end-to-end technical delivery of complex AI agentic solutions for enterprise clients, leveraging the Agentforce platform and LLMs. This role involves hands-on implementation, architecting, designing, developing, and deploying AI agents and automated workflows, integrating them with customer ecosystems, and managing data pipelines. The engineer will also act as a strategic partner to clients, troubleshoot complex technical challenges, and influence product direction. | Agent | 8 |
| Expert Agent Builder, Forward Deployed Engineering Salesforce is seeking an Expert Agent Builder for their Forward Deployed Engineering Team to architect, design, and build complex agentic systems for enterprise customers. This role involves hands-on development, integration of LLMs and agent-building frameworks, defining agentic architecture, leading engineering best practices, and driving innovation on the Agentforce platform. The role requires deep expertise in AI/LLM technologies, prompt engineering, RAG, evaluation frameworks, and enterprise data integration. |
| Agent |
| 8 |
| AI Forward Deployed Engineer (Senior/ Lead/Principal) Senior/Lead/Principal Forward Deployed Engineer to lead complex AI agentic deployments for enterprise clients using Salesforce's Agentforce platform. Responsibilities include end-to-end technical delivery, architecting and implementing LLM-based intelligent agents and automated workflows, data integration, and acting as a technical advisor to clients. Focus on hands-on implementation, problem-solving, and driving tangible outcomes. | Agent | 8 |
| Software Engineer II, Machine Learning (Search) - Slack Salesforce is seeking a Machine Learning Engineer for their Slack division to develop and implement ML models for ranking, retrieval, and generative AI use cases. The role involves building data pipelines, fine-tuning LLMs, and deploying ML artifacts at scale to enhance Slack's product for millions of daily active users. This is a practical, impact-driven role focused on delivering business value with ML. | AgentServe | 7 |
| Agentic Data Specialist (Multiple Levels) Salesforce is seeking an Agentic Data Specialist to join their Forward Deployed Engineering Team. This role focuses on designing, building, and managing the data and integrations that enable AI agents to take autonomous actions across business systems. Responsibilities include managing data flow, architecting AI grounding systems (RAG, vector databases), orchestrating multi-agent systems, defining LLM strategy, ensuring data governance, building scalable systems, API development, enabling workflow automation, and troubleshooting integrations. Requires 5+ years of experience in data engineering/integrations, proficiency in programming languages, expertise in AI data integration (RAG, vector databases), deep understanding of data management within Salesforce, knowledge of LLM landscape, API development, and familiarity with distributed systems. | Agent | 7 |