Salesforce currently has 133 active AI-related job listings. The majority of these roles, 78%, are focused on agents, with application roles making up another 12%. Engineering is the most frequent function hiring for these positions. Frequent tech tags include agent_orchestration, llm_observability, and tool_use, suggesting a focus on building and managing AI agent capabilities.
Currently tracking 106 active AI roles, with 397 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $197k–$345k (avg $271k).
Salesforce currently has 142 active AI-related roles in our index. The most common open titles are: Partner Technical Architect - Agentforce (3), AI Builder, Emerging Talent - Arabic Market (2), AI Builder, Emerging Talent - BNL Market (2), AI Builder, Emerging Talent - French Market (2), AI Builder, Emerging Talent - Hebrew Market (2). Most positions are in Engineering and Product.
Salesforce's active AI hiring is concentrated in: agents (77%), application (11%), serving infrastructure (5%). 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 (82 roles), India (12 roles), Ireland (11 roles), Mexico (9 roles).
Job postings at Salesforce most frequently mention: Content Generation, Software Engineering, Agentic Systems, System Design, Python.
In the past 30 days, Salesforce has posted 80 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| The Exponential Software Engineer / Principal Agentic Architect Salesforce is seeking an Exponential Software Engineer/Principal Agentic Architect to lead the development and implementation of next-generation agentic tools within their AI CRM platform. This role involves architecting and building bespoke agentic IDEs, owning the entire product lifecycle from requirements to deployment, and guiding AI agents to produce high-quality deliverables. The ideal candidate will have deep engineering mastery, a founder's instinct, and proven experience with advanced AI coding tools and prompt engineering. | Agent | 9 |
| Software Engineering SMTS- LLM Model building Salesforce is seeking a Senior Applied Scientist to build and develop LLMs for their production-grade AI agents. This role involves hands-on work across the full model development lifecycle, including training, fine-tuning, evaluation, reinforcement learning, optimization, and deployment support for enterprise-grade agentic workflows, reasoning systems, and multi-modal AI capabilities. |
| Post-trainAgent |
| 9 |
| Sr. Director, Responsible AI Science and Engineering Salesforce is seeking a Sr. Director of Responsible AI Science and Engineering to lead the transformation of their Responsible AI (RAI) practice from manual reviews to scalable, AI-powered automated systems. This role involves defining the technical roadmap, architecting production systems for RAI testing and evaluation, establishing scientific rigor, influencing cross-functional strategy, and leading a team of technical experts. The focus is on building robust infrastructure and scientific foundations to ensure trustworthy AI across the enterprise, with a strong emphasis on evaluation science, adversarial testing, and systematic defenses against AI risks. | Eval GateAgent | 9 |
| PMTS - Principal Agentic Data Engineer The Principal Agentic Data Systems Engineer will architect and maintain a private ecosystem of autonomous agents for ETL, synthetic data generation, automated QA, and predictive modeling. This role involves designing multi-step reasoning architectures and verification protocols for agent self-validation, acting as a Human-in-the-Loop Orchestrator to manage complex hand-offs between specialized AI agents, and ensuring governance for data pipelines and agent development. The engineer will also develop and maintain Model Context Protocol (MCP) servers for agent access to data sources. | AgentData | 9 |
| Senior, Member of Technical Staff Salesforce is seeking a Senior Software Engineer to join their Agentic Selling Team. The role involves designing and building production AI agents using Agentforce, Agent Script, and NGA, integrating with Salesforce CRM and Data Cloud. Responsibilities include architecting multi-node agent orchestration, memory systems, RAG patterns, and content ingestion pipelines, as well as implementing agent observability and mentoring junior engineers. The ideal candidate has 6+ years of experience, strong backend development skills, deep knowledge of LLMs, and proven experience with prompt engineering, RAG, and building LLM-based applications or agents. | Agent | 9 |
| Principal Architect Salesforce is seeking a Principal Architect to lead their AI-native engineering organization, focusing on architecting and scaling systems where human intellect and autonomous agents collaborate. The role involves defining the AI lifecycle, building agent infrastructure, establishing rigorous evaluation frameworks, and pioneering technical taste for agent-accelerated development. Requires deep experience in large-scale systems and cutting-edge AI architectures, particularly agentic loops and multi-agent orchestration. | AgentEval Gate | 9 |
| Forward Deployed Engineering Lead Salesforce is seeking a senior-level Agentforce Forward Deployed Engineer with 5+ years of experience to lead complex AI agentic deployments. This role involves designing, developing, and implementing bespoke AI solutions leveraging the Agentforce platform and LLM technologies, acting as a hands-on technical leader and strategic partner for clients. Responsibilities include end-to-end technical delivery, building AI agents and automated workflows, data configuration, removing technical blockers, driving platform innovation, and conducting deep-dive debugging. | Agent | 9 |
| AI Architect - Software Engineering Salesforce is seeking an AI Architect to shape the development, deployment, and scaling of agentic systems within their Agentforce platform. This role involves inventing new primitives, incubating next-generation agentic systems, collaborating with customers, and defining architectural direction for enterprise AI agents in production. The position requires a blend of coding, whitepaper writing, runtime design, and executive communication. | Agent | 9 |
| AI Builder, Emerging Talent - Italian Market Salesforce is seeking early-career AI Builders to design, develop, and deploy agentic solutions for Fortune 500 clients. This role involves building AI agents that take real actions, designing agent 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, hands-on technical skill development, and customer-facing collaboration. | Agent | 9 |
| AI Builder, Emerging Talent - Swedish Market Salesforce is seeking early-career AI Builders to design, develop, and deploy agentic AI solutions for Fortune 500 companies. This role involves building AI agents, designing their intelligence (prompts, reasoning, tool calls), supporting the full technical lifecycle with JavaScript, Python, and Apex, and collaborating with clients to turn business challenges into agentic solutions. The program emphasizes hands-on technical skill development, mentorship, and real-time customer impact. | Agent | 9 |
| SMTS/LMTS - AI ML Engineers Salesforce is seeking an AI/ML Engineer to join their Agentic AI team, focusing on Data Management and building scalable AI solutions like Agents, AI Copilots, Chatbots, AI Planners, and RAG solutions. The role involves technical leadership, architectural guidance, and driving the full SDLC for Agentic AI products within an enterprise context. | AgentData | 9 |
| 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 |
| Lead Offsec AI-Automation Developer Lead the design and build of agent-based automation for offensive security and security research, working with the AI-Automation Director to turn architecture into production-grade systems that reason over complex data and act safely in real environments. This role requires strong software engineering experience with AI-driven systems, LLMs, and agentic frameworks, focusing on core system components like agent logic, orchestration, tool interfaces, and state management. The candidate will also build observability and debugging into AI-assisted systems and evaluate AI-generated code. | Agent | 8 |
| Product Deployed Engineer Salesforce is seeking a Product Deployed Engineer to embed with lighthouse customers and deliver AI-powered Service Cloud capabilities. This role involves end-to-end technical delivery, including architecture, agent logic, integration, deployment, and production hardening. The engineer will resolve customer blockers by shipping fixes into the core Agentforce product, design and build agentic systems, manage the data lifecycle for deployments, and contribute field learnings to the product team. The role requires strong programming expertise, advanced AI capabilities with LLMs, deep Salesforce platform knowledge, and customer-centric problem-solving skills. | AgentServe | 8 |
| Software Engineering - Core Software Engineering - Software Engineering PMTS-2 Salesforce is seeking a Principal Member of Technical Staff to lead the engineering vision for AgentExchange's Search and Personalization services. This role involves designing and delivering the next generation of agentic search, which is a multi-turn, context-aware discovery experience powered by GenAI, personalization signals, and real-time behavioral data. The position requires deep expertise in building and operating large-scale search and recommendation systems, with a focus on AI-native engineering and platform modernization. | AgentServe | 8 |
| Senior Data Scientist – Applied AI Salesforce is seeking a Senior Data Scientist to join their Data Science team, focusing on building and evaluating enterprise AI systems including conversational agents, voice experiences, language models, and intelligent automation. The role involves designing experiments, building evaluation frameworks, analyzing telemetry, developing statistical models, optimizing prompts, fine-tuning foundation models, and ensuring responsible AI practices. The ideal candidate will have strong experience with LLMs, generative AI, AI agents, RAG, and fine-tuning, with a focus on delivering measurable customer impact. | Eval GatePost-train | 8 |
| Software Engineering PMTS - Data Platform Salesforce is seeking a senior technical leader to own the end-to-end data architecture for their AgentExchange platform. This role involves consolidating fragmented data pipelines into a trusted platform, defining data contracts, and architecting an LLM- and agent-native layer for intelligent experiences. Responsibilities include building ML platforms, managing feature stores, training/serving infrastructure, and implementing RAG, embeddings, and vector stores for agent access to marketplace data. The role requires strong cross-org technical leadership, executive communication, and experience with data security and governance in a cloud-native environment. | AgentServe | 8 |
| AI Builder, Emerging Talent - Greek Market Salesforce is seeking early-career AI Builders to design, develop, and deploy agentic solutions for enterprise clients. 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 translate business challenges into agentic solutions. The program emphasizes hands-on technical skill development, mentorship, and rapid iteration from development to deployment. | Agent | 8 |
| Senior Member of Technical Staff - AI Research Salesforce is seeking a Senior Member of Technical Staff - AI Research to design, implement, and iterate on agentic AI systems. This role involves building production-grade software, orchestrating complex AI agent integrations, and contributing to shared system context. The ideal candidate will have strong Python skills, practical experience with LLMs and agentic workflows, and experience deploying ML systems on cloud platforms. | AgentServe | 8 |
| Software Engineering SMTS/LMTS Salesforce is seeking a Senior Member of Technical Staff (SMTS) / Lead Member of Technical Staff (LMTS) for their AI Services team to design and build AI agents and automation infrastructure. The role involves creating intelligent agents that reason, plan, use tools, and execute multi-step workflows for tasks like automated test generation, failure triage, and codebase analysis. The team also builds the agent orchestration layer, an AI Quality Readiness scoring platform, and an agent contribution ecosystem. The role requires strong software engineering experience, experience building AI agents, and understanding of developer tooling and CI/CD. | AgentEval Gate | 8 |
| Software Engineering SMTS - Agentforce Reasoning Engine Salesforce is seeking an AI Software Engineer to build and scale the Agentforce Reasoning Engine, a core Python service for multi-agent orchestration. The role involves designing and implementing scalable backend services, integrating with LLMs, managing state, and ensuring system reliability for millions of customers. Experience with production AI systems, Python, async services, distributed systems, and LLM integration is required. | Agent | 8 |
| Portfolio Leader (Builder People Lead) Salesforce is seeking a Portfolio Leader to manage and grow a team of technical AI specialists deploying Agentforce solutions in customer environments. This role requires a builder mindset and involves leading a blended delivery team of Forward Deployed Engineers and Deployment Strategists. The leader will set engineering standards, unblock customer deployments, scale talent, and influence product roadmaps by providing field insights. Responsibilities include capacity planning, talent acquisition, fostering an engineering culture, mentoring, driving technical excellence, acting as a final technical escalation point, guiding enterprise implementations, and ensuring customer adoption and business impact. | Agent | 8 |
| Partner Technical Architect - Agentforce (LATAM) Salesforce is seeking a Partner Technical Architect to help System Integrator (SI) partners build and scale production-grade Agentforce solutions. This role involves prototyping, building reference implementations, and reviewing partner architectures for agent design, retrieval, tooling, guardrails, and observability. The architect will coach partners and translate field lessons into reusable assets, focusing on applied AI fluency and enterprise architecture judgment. | Agent | 8 |
| Software Engineering MTS - Full-Stack/Agentic AI Engineer Salesforce is seeking a Software Engineering MTS - Full-Stack/Agentic AI Engineer to join their Agentforce team. The role involves architecting, designing, and shipping scalable full-stack applications on the Agentforce platform, building and iterating on AI agent tooling using modern agentic frameworks and LLM-backed workflows, and designing systems where AI agents integrate into human workflows. The candidate should have deep OOP knowledge (Java or Python), full-stack experience (React/TypeScript, APIs, backend services), and hands-on experience with agentic platforms, prompt engineering, RAG, and tool/function calling. | Agent | 8 |
| Software Engineering SMTS - Agentforce Reasoning Engine Salesforce is seeking a Software Engineering SMTS for their Agentforce Reasoning Engine team. This role involves building and owning scalable backend services for multi-agent orchestration, focusing on Python/FastAPI, stateful session management, system performance, and collaboration with AI researchers. Experience with production AI systems, async services, distributed systems, and LLM integration is required. | Agent | 8 |
| Senior Director, Agentic Transformation Lead Salesforce is seeking a Senior Director, Agentic Transformation Lead to spearhead the AI transformation of their internal employee-facing technology. This role will coordinate AI initiatives, establish standards, manage AI development tools, streamline delivery processes, measure impact, and define new roles and ways of working in an agentic era. The focus is on operationalizing AI agents to drive engineering productivity and create a replicable playbook for enterprise customers. The ideal candidate has extensive leadership experience, deep technical credibility, and a proven ability to drive outcomes through influence and hands-on execution. | Agent | 8 |
| Software Engineering MTS - Full-Stack/Agentic AI Engineer Salesforce is seeking a Software Engineering MTS - Full-Stack/Agentic AI Engineer to join their Agentforce team. The role involves architecting, designing, and shipping scalable full-stack applications on the Agentforce platform, building and iterating on AI agent tooling using modern agentic frameworks and LLM-backed workflows, and designing systems where AI agents integrate into human workflows. The candidate should have deep OOP knowledge (Java or Python), full-stack experience (React/TypeScript, APIs, backend services), and hands-on experience with agentic platforms, prompt engineering, RAG, and tool/function calling. | Agent | 8 |
| Lead Agentic Data Systems Engineer Lead Agentic Data Systems Engineer responsible for architecting and maintaining a private ecosystem of autonomous agents for ETL, synthetic data generation, automated QA, and predictive modeling. The role involves designing multi-step reasoning architectures, verification protocols, and providing agents with secure data access. This is a hands-on engineering role focused on building production-grade data products and managing complex hand-off protocols between specialized AI agents. | AgentData | 8 |
| Lead Software Engineer Salesforce is seeking a Lead Software Engineer to join their Tableau team, focusing on developing AI-powered analytics agents. The role involves building next-generation generative AI products, shaping user experiences with LLMs and agents, designing scalable agentic systems, and evaluating their performance. The position requires strong programming and distributed systems skills, experience with modern software development practices, and expertise in shaping experiences with LLMs and agents. | Agent | 8 |
| Offensive Security MTS/SMTS - AI Platform & Orchestration - Hyderabad This role is for a backend-focused engineer to build an AI platform for offensive security operations. The focus is on creating the infrastructure, AI harness, and orchestration layers for autonomous security workflows, including agent-based automation, state management, memory, and tool integration for LLM-based systems. | Agent | 8 |
| Forward Deployed Engineer Salesforce is seeking a senior Forward Deployed Engineer to lead complex AI agentic deployments using their Agentforce platform. The role involves designing, developing, and implementing AI/LLM-based intelligent agents and automated workflows, integrating them with customer systems, and providing technical leadership and mentorship. Responsibilities include hands-on implementation, data configuration, technical problem-solving, and driving innovation within the Agentforce platform. | Agent | 8 |
| Platform Engineer — Cloud Infrastructure (SMTS) Salesforce is seeking a Senior Member of Technical Staff (SMTS) for their Platform Engineering team within Cloud Infrastructure. This role focuses on applying AI/ML solutions to infrastructure and operations problems, building intelligent, self-healing platform tools. The engineer will write core platform services in Go and Python, design multi-agent workflows for automation, build RAG systems for documentation, and act as an AI amplifier for the engineering organization. The primary focus is on integrating AI, LLMs, and autonomous agents into multi-cloud platform services to improve reliability, reduce toil, and enhance developer experience. | AgentServe | 8 |
| Data Scientist Salesforce is seeking a Senior Member of Technical Staff (SMTS) to lead the data science and software systems for predictive and agentic intelligence in Sales Cloud. The role involves designing, training, and deploying ML models for use cases like opportunity scoring and deal-risk detection, building and operationalizing agentic workflows with LLM-as-judge evaluations, and exploring new technologies like RAG and prompt tuning. The position also includes mentoring junior engineers and partnering with Product Management on roadmap development. | AgentPost-train | 8 |
| Agentforce Forward Deployed Engineer Salesforce is seeking a senior-level Forward Deployed Engineer with 5+ years of experience to lead complex AI agentic deployments. The role involves designing, developing, and implementing AI solutions, particularly intelligent agents and automated workflows using the Agentforce platform and LLMs. Responsibilities include hands-on implementation, data lifecycle management, technical problem-solving, driving innovation, and acting as a strategic technical partner to clients. | Agent | 8 |
| Agentforce Forward Deployed Engineer Salesforce is seeking a senior-level Agentforce Forward Deployed Engineer to lead complex AI agentic deployments. This role involves designing, developing, and implementing AI solutions using the Agentforce platform and other technologies, working directly with clients to understand their problems and architecting sophisticated solutions. The engineer will be responsible for end-to-end technical delivery, including coding, configuration, troubleshooting, and guiding junior team members. Key responsibilities include building scalable production systems with AI/LLM agents, integrating LLMs, applying AI orchestration frameworks, and managing data lifecycles. The role also involves proactive problem-solving, driving innovation on the Agentforce platform, acting as a trusted strategic partner to clients, and implementing engineering best practices. | Agent | 8 |
| Agentforce Forward Deployed Engineer Salesforce is seeking a senior Forward Deployed Engineer to lead complex AI agentic deployments using their Agentforce platform and other technologies. The role involves designing, developing, and implementing AI/LLM-based intelligent agents and automated workflows, working directly with customers, configuring data, and resolving technical blockers. The engineer will be a hands-on leader, shaping technical strategy and ensuring successful end-to-end delivery of AI solutions. | Agent | 8 |
| Forward Deployed Engineer Salesforce is seeking a senior-level Forward Deployed Engineer with 5+ years of experience to lead complex AI agentic deployments. The role involves designing, developing, and implementing AI/LLM-based intelligent agents and automated workflows using the Agentforce platform and other technologies. Responsibilities include hands-on implementation, architecting solutions, data configuration, removing technical blockers, driving innovation, acting as a strategic partner, debugging, rapid prototyping, and enforcing best practices. Requires expertise in programming languages and AI/LLM technologies like LangChain and LlamaIndex. | Agent | 8 |
| Forward Deployed Engineer Salesforce is seeking a senior Forward Deployed Engineer to lead complex AI agentic deployments, leveraging their Agentforce platform and other technologies. The role involves designing, developing, and implementing AI/LLM-based intelligent agents and automated workflows, working directly with customers to engineer bespoke solutions, managing the data lifecycle, and resolving technical blockers. The engineer will also drive innovation on the Agentforce platform, act as a strategic technical partner to clients, perform deep-dive debugging, lead rapid prototyping, and enforce best practices. Requires 5+ years of experience, strong CS background, proficiency in programming languages, and hands-on experience with AI/LLM technologies, orchestration frameworks, prompt engineering, and agentic frameworks. | Agent | 8 |
| Forward Deployed Engineer Salesforce is seeking a Forward Deployed Engineer with 5+ years of experience to lead complex AI agentic deployments. This role involves designing, developing, and implementing AI solutions using the Agentforce platform and other technologies, acting as a technical partner to strategic clients. Responsibilities include hands-on implementation, building scalable production systems with LLM-based agents, data configuration, removing technical blockers, driving platform innovation, and conducting deep-dive debugging. The role requires expertise in programming languages and AI/LLM technologies, including agent orchestration frameworks. | Agent | 8 |
| AI Engineer - Forward Deployed Engineer (Multiple Levels) AI Engineer role focused on implementing bespoke AI solutions using the Agentforce platform and other technologies. The role involves end-to-end technical delivery, including designing, developing, and implementing AI solutions, removing technical blockers, building AI agents and automating workflows, data configuration and integration, and rapid prototyping. Requires hands-on experience with AI/LLM technologies, orchestration frameworks, prompt engineering, and data platforms. | Agent | 8 |
| 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 |
| Forward Deployed Engineer Salesforce is seeking a senior Forward Deployed Engineer to lead complex AI agentic deployments, design and develop bespoke solutions using their Agentforce platform and other technologies, and lead technical engagements. The role involves hands-on implementation, architecting and deploying AI/LLM-based intelligent agents and automated workflows, engineering custom agents, managing the data lifecycle, resolving technical blockers, driving innovation on the Agentforce platform, acting as a strategic partner to clients, debugging complex systems, rapid prototyping, and enforcing best practices. Requires 5+ years of experience, a strong CS/engineering background, and proficiency in programming languages and AI/LLM technologies like LangChain or LlamaIndex. | Agent | 8 |
| 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 |
| Forward Deployed Engineer Salesforce is seeking a Forward Deployed Engineer to lead the end-to-end technical delivery of AI solutions for strategic clients, focusing on architecting and deploying complex AI and LLM-based intelligent agents and automated workflows on the Salesforce platform. This role involves hands-on implementation, data configuration, integration, and proactive problem-solving to drive innovation and ensure successful outcomes. | Agent | 8 |
| Forward Deployed Engineer Forward Deployed Engineer at Salesforce responsible for the end-to-end technical delivery of complex AI solutions, architecting and deploying LLM-based intelligent agents and automated workflows on the Salesforce platform. This role involves hands-on implementation, customer engagement, data integration, and driving innovation within the Agentforce platform. | Agent | 8 |
| Lead Member of Technical Staff Salesforce is seeking a Lead Software Engineer to architect and lead the development of production AI agents and multi-agent systems using their Agentforce platform. The role involves driving technical strategy for the Sales Agent platform, including memory architecture, RAG, LLM optimization, and agent orchestration, while also establishing observability and quality frameworks. The engineer will mentor other engineers and make critical design decisions for scalability and reliability in a SaaS cloud environment. | Agent | 8 |
| Applied Research Engineer Salesforce is seeking an Applied Research Engineer to bridge the gap between frontier AI technology and customer-facing reality, focusing on Generative AI and Agentic Systems for CRM. The role involves building and deploying production services, APIs, UIs, and agentic evaluators at hyper-scale, working closely with research scientists to transform breakthroughs into stable, secure, and production-ready applications. | AgentServe | 8 |
| Senior Software Engineer - Agentic & Automation Engineering Senior Software Engineer role focused on developing and deploying agentic and automation platforms into Salesforce's Government Cloud (GovCloud) for security operations. The role involves building Python-based playbooks, integrations, and agents, translating analyst workflows into automation, and leveraging AI-assisted development tools. It requires strong Python engineering skills, experience with cloud services and regulated deployments, and a genuine AI-first approach to development. | Agent | 8 |
| Agentforce Forward Deployed Engineer B2C Commerce Senior role focused on the end-to-end technical delivery of AI solutions, specifically leveraging the Agentforce platform and LLMs to build intelligent agents and automated workflows for enterprise clients. Requires hands-on implementation, architecture design, and client interaction. | Agent | 8 |
| Lead AI Engineer, Data Solutions Lead AI Engineer focused on building next-generation AI and ML systems, specifically intelligent decisioning systems and an agent flywheel for continuous improvement. The role involves developing ML models and AI agents, owning data and model pipelines, and implementing evaluation frameworks for production systems. It requires strong Python, ML deployment, data pipeline, and LLM/agent experience. | AgentData | 8 |