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 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 |
| 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. |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Principal Decision Scientist Salesforce is seeking a Principal Decision Scientist to develop and scale methodologies for evaluating agentic workflows and AI systems, build models for attribution problems, lead complex experimental designs, and translate statistical findings for executive leadership. The role requires a Master's or PhD in a quantitative field, 10+ years of experience deploying causal models or experimental frameworks in production, proficiency in Python/R and SQL, and familiarity with LLM evaluation metrics and statistical challenges of non-deterministic AI outputs. | Eval GateAgent | 7 |
| Software Engineering LMTS Salesforce is seeking a Lead Member of Technical Staff (LMTS) Software Engineer to build the next generation of intelligent product configuration experiences. The role involves architecting and implementing agentic AI capabilities, including AI-assisted constraint modeling, intelligent product recommendations, and LLM-powered guidance, embedded within the Configurator experience. The engineer will also lead architecture, design, and delivery of the Product Configurator UI and backend services, champion engineering productivity, and collaborate with cross-functional teams. | Agent | 7 |
| Senior / Lead Software Engineer, Full Stack (Product) Salesforce is seeking a Senior / Lead Full Stack Software Engineer to build AI-powered experiences using LLMs and embeddings. The role involves shipping end-to-end product features, partnering with product and design, and ensuring AI features are observable, testable, and maintainable. The ideal candidate has experience applying AI/ML in products and a strong understanding of full-stack development. | Agent | 7 |
| AI Builder, Emerging Talent - Hebrew Market Salesforce is seeking an AI Builder for their Emerging Talent program, focusing on developing and deploying agentic AI solutions for enterprise clients. This role involves designing AI agents, supporting the full technical lifecycle, and collaborating with clients to create impactful solutions using JavaScript, Python, and Apex. | Agent | 7 |
| VP, Software Engineering, Field Service VP of Engineering role at Salesforce focused on leading the next generation of their Agentforce Field Service product line. The role involves driving AI-first solutions at scale, transforming workforce management, scheduling, and voice-directed experiences. The candidate will manage, grow, and inspire a global engineering team, partner with product management, and drive architecture, execution, and delivery of new product capabilities. | ShipAgent | 7 |
| Sr. Enterprise Architect, Agentforce Supply Chain This role focuses on integrating Salesforce's Agentforce platform with enterprise systems (ERP, PLM, CRM) for supply chain and manufacturing transformations. The Senior Enterprise Architect will design and build end-to-end integration strategies, architect API-led connectivity, design agentic data pipelines, and set AI integration roadmaps for customers. The role emphasizes shipping production integration solutions and working closely with customers to solve real-world problems at scale. | Agent | 7 |
| Software Engineering SMTS Backend Software Engineer role focused on building and scaling platform services for LLM technology within Salesforce's Einstein platform, supporting Agentforce and AI apps. The role involves developing production-ready code, making design decisions for performance and scalability, and working with various LLM technologies in a microservice SaaS environment. | ServeAgent | 7 |
| Software Engineering Architect Salesforce is seeking a Software Engineering Architect to design high-scale, agentic systems for their Spiff (Incentive Compensation Management) platform. The role involves defining architectural initiatives for the core Commission Engine, calculation frameworks, database, infrastructure, performance optimization, and Data Cloud connectivity. Key responsibilities include architecting AI-native application services, designing agentic systems with vector database scaling and token-efficient caching, leveraging AI tools like Claude Code or Codex, orchestrating AI 'pair-architect' workflows, and implementing governance, observability, and safety guardrails. The role also involves integrating with the Salesforce Agentic Framework using RAG and Vector Databases, and owning the data architecture. | AgentServe | 7 |
| AI Solution Orchestrator Salesforce is seeking an AI Solutions Orchestrator with 8+ years of technical experience, including 2 years in complex Agentic AI Salesforce implementations. The role involves designing and building AI solutions using personal and autonomous agents to drive productivity for Account Success teams. Responsibilities include rapid POC cycling, AI solution development from concept to production, prompt engineering with a focus on context and business data, and understanding LLM limitations. A deep mastery of the Salesforce platform and AI tooling is required. | Agent | 7 |
| 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 |
| AI Builder, Emerging Talent Salesforce is hiring AI Builders for their Emerging Talent program. This role focuses on designing, developing, and deploying agentic AI solutions for enterprise clients. The program emphasizes hands-on experience, mentorship, and skill acceleration in AI-powered development, with a focus on building AI agents that take real actions for companies. | Agent | 7 |
| Product Security Senior Penetration Tester This role focuses on offensive security for AI systems, leading adversarial testing, developing security frameworks and tooling, and partnering with AI teams to mitigate risks. It involves testing AI/ML systems, understanding LLM vulnerabilities, and building automated testing frameworks. | Eval GateAgent | 7 |
| DevOps Engineer, GovCloud Mid/Senior Salesforce is seeking an experienced DevOps Engineer for their Government Cloud infrastructure. The role involves ensuring maximum availability, performance, and security through proactive enhancements and troubleshooting. A key aspect is advanced prompt engineering to make AI outputs reliable and production-ready. The engineer will lead projects in design, development, and support of the platform, collaborate on CI/CD pipelines, and build high-quality software using AI as a core part of the development workflow. Responsibilities include designing and orchestrating systems where AI agents integrate into human workflows, contributing to shared system context for AI reliability, and evaluating AI-generated code. The role requires expertise in AWS, Kubernetes, Terraform, Linux systems, security, CI orchestration, scripting languages, and log management, with a strong emphasis on an AI-first approach to engineering and advanced prompt engineering skills. | Agent | 7 |
| Mid Level/Senior Backend Software Engineer Backend Software Engineer role at Salesforce focused on building and shipping production-grade software with AI as a core part of the development workflow. The role involves designing 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 strong software engineering fundamentals, experience with SaaS cloud infrastructure, distributed systems, and advanced prompt engineering skills. | Agent | 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 |
| Forward Deployed Engineering Lead - Data Science & Integration Salesforce is seeking a Forward Deployed Engineer Lead for their Public Sector team, focusing on integrating AI/ML systems and data science pipelines for U.S. Department of Defense and Intelligence Community customers. The role involves hands-on implementation of bespoke solutions, including ML pipelines, intelligent automation, and enterprise integration using platforms like MuleSoft and Regrello. The candidate will act as a strategic partner, translating operational challenges into technical solutions and driving end-to-end delivery in regulated environments. | AgentData | 7 |
| Director of Production Support Engineering Director of Production Support Engineering for a high-growth AI CRM product, focusing on scaling, reliability, and compliance for enterprise and government clients. The role involves strategic roadmap development, people leadership, managing multi-substrate deployments, overseeing legacy systems, and ensuring infrastructure meets strict regulatory requirements. It emphasizes leveraging AI tools for development workflows and integrating AI agents into human processes. | ShipServe | 7 |
| Production Support Engineering LMTS Salesforce is seeking a Production Support Engineer (LMTS) to join their embedded reliability team for the Agentforce for Supply Chain platform. This role focuses on production excellence, performance tuning, and infrastructure automation to scale the platform for global demand and enterprise-grade resilience. The engineer will partner with PMTS-level engineers, contribute to infrastructure strategy, maintain automated environments, support AI/ML infrastructure, harden the observability stack, optimize performance, and leverage AI tools for operational tasks. The role requires strong experience in SRE/Production Engineering, Kubernetes, Terraform, cloud platforms, and coding in Golang, TypeScript, or Python, with a deep understanding of distributed systems and AI agents. Advanced prompt engineering skills and an AI-first approach to engineering are essential. | ServeAgent | 7 |
| Missionforce - Senior/Lead Forward Deployed Engineer (FDE), Public Sector Senior/Lead Forward Deployed Engineer on the Public Sector team, embedded with U.S. Department of Defense, Intelligence Community, and Aerospace clients to design and deploy bespoke AI solutions. This role involves architecting a planet-scale platform, engineering distributed systems, developing Infrastructure-as-Code, microservices, and data pipelines, and building production-grade software with AI as a core part of the development workflow. The engineer will design and orchestrate complex systems where AI agents integrate into human workflows, contribute to shared system context for AI reliability, and critically evaluate code (human or AI-generated). | Agent | 7 |
| Architect Marketing Agent Engineer Salesforce is seeking an Architect Marketing Agent Engineer to build and deploy AI agents within the Marketing function. This hands-on technical role involves identifying high-value workflows, designing and building agents to automate them, connecting them to existing enterprise tools, and measuring their impact. The ideal candidate has strong software engineering experience, experience with AI-assisted workflows, and can collaborate effectively with business teams. | Agent | 7 |