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 Builder, Emerging Talent - Finnish Market Salesforce is hiring 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 their intelligence (prompts, reasoning, tool calls), supporting the full technical lifecycle with JavaScript, Python, and Apex, and partnering with clients to turn business challenges into agentic solutions. The role emphasizes a builder mindset and hands-on experience with AI tools and platforms. | Agent | 8 |
| AI Builder, Emerging Talent - Swiss Market Salesforce is hiring AI Builders for their Emerging Talent program in the Swiss Market, focusing on developing and deploying agentic AI solutions for enterprise clients. This role involves designing AI agents, their intelligence (prompts, reasoning, tool calls), and supporting the full technical lifecycle from architecture to deployment using JavaScript, Python, and Apex. The position emphasizes a builder mindset, hands-on experience with AI tools, and collaboration with customer-facing teams to drive strategic impact. |
| Agent |
| 8 |
| AI Builder, Emerging Talent - Norwegian Market Salesforce is hiring early-career AI Builders to design, develop, and deploy agentic AI solutions for enterprise clients. This role involves building AI agents that take real actions, designing their intelligence (prompts, reasoning, tool calls), and supporting the full technical lifecycle from architecture to deployment using JavaScript, Python, and Apex. The position emphasizes a builder mindset, hands-on technical skill development, and client collaboration to turn business challenges into agentic solutions. | Agent | 8 |
| AI Builder, Emerging Talent - Danish Market Salesforce is seeking early-career AI Builders to design, develop, and deploy agentic AI solutions for enterprise clients. This role involves building AI agents that take real actions, designing their intelligence (prompts, reasoning, tool calls), and supporting the full technical lifecycle from architecture to deployment using JavaScript, Python, and Apex. The position emphasizes a builder mindset and hands-on experience with LLMs and prompt engineering. | Agent | 8 |
| AI Builder Partner Solutions Salesforce is seeking an AI Builder Partner Solutions role focused on building and implementing AI-powered solutions for customer and partner environments. This hands-on role involves creating technical solution patterns, POCs, and reusable accelerators, with a strong emphasis on agentic systems, tool use, retrieval, and evaluation. The position requires practical experience with LLM applications and agentic coding tools, as well as Salesforce platform development. | Agent | 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 |
| Forward Deployed Engineer (Multiple Levels) Forward Deployed Engineer with 5+ years of experience to lead complex AI agentic deployments. This role involves designing, developing, and deploying bespoke AI solutions leveraging the Agentforce platform and other technologies, acting as a strategic partner to clients and mentoring junior engineers. Responsibilities include end-to-end technical delivery, building AI/LLM-based intelligent agents and automated workflows, data lifecycle management, and resolving complex technical challenges. | Agent | 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 |
| Performance Engineer - MTS Software Engineer role focused on building internal AI-powered productivity tools and agentic experiences to solve performance problems for engineering teams. Responsibilities include developing AI agents for triaging issues, automating performance analysis, and instrumenting systems to measure AI agent performance. Requires strong software engineering fundamentals, ML/AI knowledge (LLMs, NLP, inference, fine-tuning, agentic workflows), and Python experience. | Agent | 8 |
| AI Technical Architect - Agentforce & Data 360 Salesforce is seeking an AI Technical Architect to lead enterprise AI transformation initiatives, focusing on designing, deploying, and scaling intelligent Agentforce solutions. The role involves owning end-to-end technical architecture for agent ecosystems, including orchestration models, tool integrations, reasoning flows, and multi-agent patterns, as well as advising customers and guiding delivery execution. Experience with Salesforce implementations, agentic systems, and data foundations for AI is required. | Agent | 8 |
| AI Builder, Emerging Talent Salesforce is seeking early-career AI Builders to join their Agentforce program. This role involves designing, developing, and deploying agentic AI solutions for enterprise clients, working within cross-functional teams to deliver real-time customer impact. The position emphasizes a builder mindset and hands-on experience with AI tools and development lifecycles. | Agent | 8 |
| Software Engineering LMTS- ML Engineer Machine Learning Engineer to build next-generation agentic AI platforms, working with Data Scientists, Software Engineers, and product managers to design, implement, and iterate agentic AI systems. The role involves innovating at the frontier of the field to create new solutions and define new product categories with significant customer impact. | Agent | 8 |
| Senior AI/ML Engineer - SMTS Senior AI/ML Engineer at Salesforce focusing on the Agentic AI team, specifically for Data Management. The role involves developing, implementing, and delivering scalable Agentic AI services like Agents, Copilots, Chatbots, AI Planners, and RAG solutions. It requires leading design and quality strategies for data services, analyzing technical feasibility, driving long-term design strategies, and collaborating with cross-functional teams. The position also involves troubleshooting production issues and acting as a domain expert. | Agent | 8 |
| Partner Technical Architect - Agentforce Salesforce is seeking a Partner Technical Architect to help SI partners build and scale production-grade Agentforce solutions. The role involves prototyping, building reference implementations, reviewing partner architectures, and coaching partners. The ideal candidate has strong engineering judgment, applied AI fluency, and experience with LLMs, agents, RAG, and tool use, with a focus on enterprise architecture and production readiness in regulated environments. | 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 |
| Senior/Lead AI Software Engineer, Agentforce for Supply Chain Salesforce is seeking a Senior/Lead AI Software Engineer to join their Agentforce for Supply Chain team. This role will focus on building and architecting intelligent agents that automate complex supply chain tasks. The engineer will lead the development of planning systems, distributed systems, and ensure seamless integration of AI agents into human workflows. The position requires strong software engineering skills, experience with AI orchestration frameworks, and a focus on production-grade software development. | Agent | 8 |
| Senior Member of Technical Staff, AI Research Salesforce AI Research is seeking a Machine Learning Engineer to develop a next-generation agentic AI platform. The role involves designing, implementing, and iterating on agentic AI systems, integrating them into human workflows, and contributing to the shared system context. The position requires strong engineering skills, deep ML knowledge, and experience with LLMs, agentic workflows, and production-grade AI systems. | Agent | 8 |
| Software Engineer (SWE/SWE II), AI Platform- Slack Software Engineer role focused on building the AI Platform at Slack, enabling product teams to integrate AI features. This involves developing developer tooling, SDKs, CI/CD pipelines, and evaluation frameworks for AI agents and LLMs, with a focus on self-service and reliability. The role also involves managing cloud AI services and ensuring AI quality and safety. | AgentEval Gate | 8 |
| Software Engineer (Multiple Levels) - Machine Learning Infrastructure, Slack Software Engineer role focused on building and operating foundational ML infrastructure for Slack AI. This includes systems for large-scale model training, GPU-backed inference, and deployment using Kubernetes, Ray, and vLLM. The role emphasizes reliability, performance, and scalability for AI-driven capabilities within Slack. | ServeData | 8 |
| Software Engineering PMTS Senior Engineering contributor on the Agentforce platform team, owning the architecture, design, and execution of the Agentic AI platform and applications. Collaborates with software engineers, data scientists, product managers, and data teams to build and turn cutting-edge architecture and research into scalable, production-ready systems. Focuses on backend systems, data pipelines for training and inference, translating user needs into technical requirements, setting technical direction, mentoring engineers, and driving ML best practices. | AgentServe | 8 |
| Forward Deployed Engineer (Multiple Levels) <<based in South Korea>> This role focuses on leading complex AI agentic deployments for enterprise clients, involving the design, development, and end-to-end technical delivery of AI solutions built on the Salesforce Agentforce platform. The engineer will architect and implement intelligent agents and automated workflows, integrate LLMs, and work with advanced orchestration frameworks, acting as a hands-on technical leader and strategic partner. | Agent | 8 |
| Product Forward Deployed Engineer, Agentforce Contact Center (Senior/Lead/Principal) This role focuses on deploying and validating new agentic CCaaS features with enterprise customers, identifying platform gaps, and building reusable assets to shape the product roadmap. It involves deep customer engagement, rapid prototyping, and acting as a technical advisor for AI-driven contact center solutions. | Agent | 8 |
| Senior Director, Forward Deployed Engineering Lead - Agentforce Supply Chain Salesforce is seeking a Senior Director, Forward Deployed Engineering Lead for their Agentforce Supply Chain team. This role involves leading a global team of engineers to work with strategic customers, validate emerging AI capabilities, harden agentic workflow infrastructure for complex manufacturing environments, and translate field insights into product roadmap priorities. The position requires strong leadership, technical expertise in AI/LLM solutions including agentic frameworks and RAG, and experience in supply chain management. | Agent | 8 |
| CTO - Agentic Process Automation & Intelligence The Field CTO will lead the technical vision for strategic global accounts, focusing on expanding Agentforce for Supply Chain and the broader Agentic Process Automation suite. This role involves bridging legacy systems with autonomous intelligence, acting as a trusted advisor to C-suite executives, and translating complex agentic process automation into scalable business outcomes. Responsibilities include architecting the "Agentic Stack", partnering with product and engineering, designing frameworks for navigating IT landscapes, providing high-stakes technical advisory, leading value engineering and prototyping, and acting as a bridge between field requirements and product development. | Agent | 8 |
| Missionforce - Senior/Lead Forward Deployed Engineer (FDE), Public Sector Senior/Lead Forward Deployed Engineer (FDE) for Salesforce's Public Sector team, focusing on deploying AI and transformative solutions for U.S. Department of Defense, Intelligence Community, and Aerospace clients. The role involves designing, developing, and implementing bespoke AI and LLM-based intelligent agents and automated workflows using the Agentforce platform, with a strong emphasis on hands-on coding, end-to-end technical delivery, and customer collaboration. This includes owning the data lifecycle and conducting deep-dive debugging for AI systems. | Agent | 8 |
| Software Engineering PMTS Senior Engineering contributor on the Agentforce platform team, owning the architecture, design, and execution of their Agentic AI platform and applications. Collaborates with software engineers, data scientists, and product managers to build scalable, production-ready systems. Focuses on backend systems, data pipelines for training and inference, and driving ML best practices. | AgentServe | 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 |
| Data Engineer (SMTS/LMTS) - Knowledge Graph & AI Salesforce is seeking Senior/Lead Members of Technical Staff to join their Enterprise Knowledge Graph and AI Engineering team. The role involves designing, implementing, and scaling the Enterprise Knowledge Graph platform to power AI-driven experiences, agentic applications, and semantic search. Responsibilities include graph and ontology engineering, developing semantic routing frameworks, building AI-powered developer tools, and integrating various data sources. The role focuses on backend development with Python, emphasizing performance, scalability, and data integrity for enterprise-wide AI initiatives. | AgentData | 7 |
| Principal Data Engineer (PMTS) - MDM Salesforce is seeking a Principal Member of Technical Staff (PMTS) to lead the technical vision, architecture, and execution for their Enterprise Knowledge Graph platform. This role involves defining graph data models, ontologies, semantic layers, APIs, vector search, and retrieval architectures to support AI and agentic applications. The PMTS will also drive the strategy and productionization of AI-powered engineering tools and developer platforms, leveraging technologies like Claude and AI agents. The role requires deep expertise in Knowledge Graph technologies, graph databases, semantic modeling, and building scalable AI solutions, including RAG and agentic workflows, as well as AI-enabled developer tooling. | AgentServe | 7 |
| AI Forward Deployed Engineer (Senior/Lead/Principal) Salesforce is hiring Senior Forward Deployed Engineers to design, build, and deploy complex agentic AI solutions directly inside enterprise customer environments. This role involves technical ownership, AI-supported engineering using tools like Cursor and Claude, influencing product roadmaps, and continuous innovation with emerging AI tools. Responsibilities include owning end-to-end build and deployment of agentic AI solutions, designing agent logic, tool calls, multi-agent orchestration, guardrails, and managing the data lifecycle for AI applications. | Agent | 7 |
| Lead - Workforce Intelligence Salesforce is seeking a Lead, Workforce Intelligence to shape the future of employee listening and organizational research. This role combines data science, data engineering, behavioral science, and people analytics to transform workforce data into scalable intelligence for strategic decisions. The role involves designing analytical frameworks, developing ML and LLM solutions, creating reusable intelligence assets, and operationalizing capabilities. Responsibilities include analyzing employee feedback, collaboration patterns, and communication signals using NLP, network analysis, ML, and LLMs. The role also involves partnering with data engineering and technology teams to operationalize workforce sensing capabilities and leading the development of organizational network analysis. The candidate should have strong technical depth, intellectual curiosity, and the ability to influence stakeholders. | DataAgent | 7 |
| AI Forward Deployed Engineer (Senior/Lead/Principal) Senior/Lead/Principal Forward Deployed Engineer to lead complex AI agentic deployments using Salesforce's Agentforce platform and LLMs. Responsibilities include end-to-end technical delivery, designing and implementing AI agents and automated workflows, data integration, and removing technical blockers. The role requires deep customer understanding, technical strategy, and mentoring junior peers. | Agent | 7 |
| Lead Software Engineer Lead Software Engineer on the Agentic Data team, responsible for building the foundational layer for intelligent agents at Salesforce scale. This involves architecting and implementing high-scale systems for agent data access, governance, and reasoning, with a focus on distributed systems, AI infrastructure, and enterprise trust. The role requires a deep understanding of the LLM lifecycle, agentic frameworks, and various data systems. | Agent | 7 |
| SMTS Back End Software Engineer, Agentforce This role is for a Senior Member of Technical Staff (SMTS) - AI Software Engineer focused on developing and delivering Agentforce, Salesforce's AI CRM. The role involves maintaining core execution engines, handling complex orchestration, and building the next generation of intelligent agents. Responsibilities include optimizing legacy systems like the React Planner and developing new reasoning features, integrating generative AI services, designing pipelines, and implementing guardrails for LLMs. The role requires strong backend development skills in Java and Python, experience with distributed systems, and a basic understanding of deep learning and LLMs. | Agent | 7 |
| Enterprise Security Engineer, Senior & Lead (Enterprise Security - Security AI) Salesforce is seeking a Senior/Lead Enterprise Security Engineer for their Secure AI team. This role focuses on assessing and maintaining the security of AI tooling, ensuring compliance with Salesforce security requirements for AI deployment at scale. Responsibilities include security assessments, threat modeling, developing automated security processes, defining security standards, and researching emerging AI threats and vulnerabilities. Experience with LLMs, agentic systems, and AI security attack surfaces is required. | Agent | 7 |
| Agentforce Technical Architect Salesforce is seeking an Agentforce Technical Architect to design and manage the delivery of complex AI Salesforce solutions for customers. This role involves translating business requirements into architected solutions, building accelerators for the agentic platform, conducting feasibility research for new AI use cases, and leading technical design sessions. The architect will oversee the technical delivery of custom development, integrations, and data migration for AI implementations, ensuring solutions are scalable and long-term. Key responsibilities include hands-on experience with agentic frameworks, prompt engineering, RAG, agent development, security, guardrails, deployment, testing, and performance monitoring. | Agent | 7 |
| Senior Data Scientist (SMTS) Salesforce Cyber Security Operations Center is seeking a Senior Data Scientist to explore, invent, build, and scale new ways to secure the Salesforce platform using AI and machine learning. The role involves analyzing large datasets, applying advanced data mining and machine learning techniques, and collaborating with threat, product, and engineering teams to develop and implement production-ready threat detection software. The focus is on building AI-driven capabilities for threat detection and agentic-based monitoring. | Agent | 7 |
| Lead Release Engineering, Agentic Platform Lead Release Engineer for an Agentic Platform at Salesforce, focusing on architecting and building infrastructure for AI coding agents to propose, validate, and ship code changes safely. The role involves defining release strategy across Java, Node.js, and iOS, implementing agentic release pipelines with automated diff review and policy-as-code, and ensuring compliance and supply chain security in an AI-driven development environment. | AgentServe | 7 |
| Applied Research Engineer Salesforce is seeking an Applied Research Engineer to bridge the gap between frontier AI technology and customer-facing reality. This role involves building and deploying next-generation services leveraging Generative AI and Agentic Systems, transforming research breakthroughs into stable, secure, and production-ready applications. The engineer will work alongside research scientists, bringing cutting-edge theory into practice, building tools and pipelines, designing and deploying production services (APIs, UIs, agentic evaluators), and rolling out scalable cloud architectures. | AgentServe | 7 |
| Senior AI and Data Architect Salesforce is seeking a Senior AI and Data Architect to serve as a technical advisor for their Agentforce AI CRM product. This role involves guiding enterprise customers and internal teams on the architecture, implementation, and use cases of Agentforce, including creating agents, prompts, and flows. The position also requires developing reusable assets, documenting reference architectures, and providing feedback to Product and Engineering. Experience with RAG, vector databases, and the LLM landscape is essential, along with Salesforce-specific knowledge. | Agent | 7 |
| Principal Software Engineer - PMTS Salesforce is seeking a Principal Member of Technical Staff (PMTS) to join the Data Detect engineering team. This role will focus on building the next-generation of Salesforce Privacy and Security products, specifically owning the architecture and technical direction for a product that automatically scans, identifies, and classifies sensitive and personally identifiable information (PII) within Salesforce org data. The role involves leading the design and integration of AI-powered detection capabilities, including batch inference APIs and NER libraries, and evolving both pattern-based and AI-based PII detection engines. The candidate will also drive performance engineering, implement monitoring, and collaborate with cross-functional teams to ensure quality, performance, security, and observability. | AgentPost-train | 7 |
| Director, Data Engineering — Customer Success Score Director of Data Engineering responsible for the strategic direction, architectural vision, and execution of data systems for Customer Success Score (CSS), a critical product intelligence asset at Salesforce. The role involves leading multiple engineering teams, setting technical standards for distributed data systems, and influencing AI-first product strategy. Focus is on building data products that power agentic intelligence and self-optimizing product experiences at enterprise scale. | DataAgent | 7 |
| Principal fullstack engineer - PMTS Principal Fullstack Engineer for Salesforce's Informatica IDMC team, focusing on building an AI-native data integration platform. This role involves owning technical direction for teams, making architectural decisions at the intersection of large-scale distributed systems and AI, and shipping production-grade code for intelligent data pipelines. The position requires expertise in Generative AI, LLMs, Agentic architectures, and petabyte-scale data movement, with a strong emphasis on technical leadership and backend engineering at scale. | Agent | 7 |
| Senior Manager, Software Engineering - Agent Authoring Salesforce is seeking a Senior Manager, Software Engineering for their Agent Authoring team, which owns the full agent creation lifecycle for their agentic AI platform, Agentforce. The role involves leading engineering teams, defining product strategy, setting technical direction, and fostering a culture of experimentation and continuous improvement. The team builds the visual canvas editor, simulation and debugging tooling, developer experience layer, and an AI coding assistant, utilizing a custom language called AgentScript to blend deterministic control with AI reasoning for predictable and intelligent agents. | Agent | 7 |
| Director, Data Management Tooling Director of Software Engineering to lead Trust & Discovery, a platform team responsible for the discovery, catalog, and governance of trusted data at Salesforce. The role involves leading a team that ships using AI as an operating model, building intelligent systems for governed data accessibility by humans and AI agents, and engaging executive stakeholders on multi-year platform strategy. | AgentData | 7 |
| Lead Engineer - AI Trust & Governance Salesforce is seeking a Lead Engineer to build an AI Governance platform from the ground up. This role involves full-stack development, AWS cloud infrastructure, ML/AI platform services, CI/CD, and defining platform architecture. The engineer will focus on monitoring, observability, and building generative AI capabilities, including LLM features and agent-based functionality, ensuring safe, trusted, and scalable AI deployment across the enterprise. Experience with AI governance, risk, trust, and compliance is preferred. | AgentEval Gate | 7 |
| Lead Software Engineer (AI/ML) Lead Software Engineer focused on AI/ML for software validation and quality assurance in an enterprise AI CRM context. The role involves driving innovation by integrating AI/ML into workflows, evaluating AI-generated code, overseeing human evaluation for subjective quality, defining quality strategies for AI/ML integrations, and designing systems where AI agents support human workflows. Prior experience in Data Science, ML Science, or ML Engineering is a plus. | ShipEval Gate | 7 |
| Forward Deployed Engineer Salesforce is seeking a Forward Deployed Engineer to design, develop, and implement bespoke AI solutions using their Agentforce platform and other technologies. The role involves hands-on coding, configuring systems, troubleshooting, data integration, and building intelligent agents for clients, with a focus on delivering tangible business impact. | Agent | 7 |
| Software Engineering Architect Salesforce is seeking a Principal Member of Technical Staff/Software Architect to lead the architectural design and technical implementation of critical, large-scale systems. This role involves building and shipping production-grade software with AI as a core part of the development workflow, designing systems where AI agents integrate into human workflows, and contributing to shared system context for AI reliability. The candidate will also critically evaluate code (human or AI-generated) and drive technical excellence across the organization. | Agent | 7 |