Senior, Member of Technical Staff

Job Category: Software Engineering About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Agents and AI are fast evolving technologies. The Agentic Selling Team within Digital Experience Technology is building production AI agents that transform how Salesforce's global sales organization operates. As Customer Zero for Agentforce, we pioneer agent development patterns that influence product strategy and define enterprise AI standards. We are looking for a Senior Software Engineer who thrives in a fast-paced environment, delivers high-quality solutions independently, and drives technical excellence. You will architect and build sophisticated agent systems using Agentforce, Agent Script, and New Graph Architecture while integrating with Salesforce CRM, Data Cloud, and external platforms. The Experience Design and build sophisticated agent architectures using Agentforce Builder, Agent Script, and NGA for production systems serving 15,000+ users Architect multi-node agent orchestration, sub-agent patterns, and agentic workflows for complex sales use cases. Lead implementation of agent memory systems, context management, and conversation state handling for personalized experiences Develop and optimize RAG patterns, retrieval strategies, and prompt engineering techniques to improve agent quality and accuracy Build scalable integrations connecting agents to Salesforce Data Cloud, Einstein, MuleSoft, and external APIs and MCP. Design and implement content ingestion pipelines processing structured and unstructured data (PDFs, web content, documents) for agent knowledge bases Drive platform migrations (e.g., Graph to Agent Script, legacy to NGA) while maintaining zero downtime for production systems Implement agent observability, monitoring, and debugging capabilities to track conversation quality and user satisfaction Mentor junior engineers through code reviews, technical guidance, and knowledge sharing Make critical technical decisions on agent design patterns, performance optimization, and scalability Work in an Agentic Agile engineering model leading design discussions, implementation, and delivery of major features Participate in architecture reviews and contribute to technical roadmap planning Lead UAT efforts, production deployments, and maintain high availability standards through bi-weekly release cycles What You’ll Actually Be Doing Design and build smart agent systems that help over 15,000 users do their jobs better. Create systems that help agents "remember" conversations and manage data so they can provide personal experiences. Build connections between agents and tools like Salesforce Data Cloud and other apps to make sure everything works together smoothly. Mentor junior team members by reviewing their code and sharing your technical knowledge. Lead design discussions and make big decisions about how we build features that scale. Test and improve our systems to make sure they run perfectly and stay reliable for all our users. You’re Our Person If… 6+ years of development experience as a software engineer with demonstrated growth in technical complexity and scope Strong experience with backend development in Java, Python, or at least one object-oriented compiled, statically-typed language (C++, C#) Deep knowledge of AI/ML frameworks and hands-on experience working with large language models (e.g., OpenAI, Anthropic, Claude, Gemini, Llama) Proven experience with prompt engineering, RAG architectures, and building production LLM-based applications or agents Experience with conversational AI, chatbots, or agent development platforms (Agentforce experience strongly preferred) Experience with cloud infrastructure (e.g., AWS, GCP, Heroku) and designing scalable, distributed system architectures Proficiency in data processing, vector databases, embeddings, semantic search, and retrieval optimization Strong understanding of Salesforce platform (Apex, LWC, Data Cloud, Platform Events) or equivalent enterprise platform experience Experience with RESTful APIs, GraphQL, event-driven architectures, and microservices patterns A related technical degree required Excellent verbal and written communication skills with ability to influence technical decisions and collaborate across organizations Strong experience in test-driven development including unit testing, integration testing, and end-to-end automation for AI systems Proven ability to debug complex production issues, optimize system performance, and resolve customer-impacting problems Experience with developer tools such as Git, Docker, Kubernetes, Terraform, CI/CD pipelines (Jenkins, GitHub Actions, Spinnaker) Track record of mentoring engineers and elevating team technical capabilities Experience delivering large-scale features used by thousands of users with measurable business impact Even Better If… Hands-on experience building agents with Salesforce Agentforce or Agent Builder Experience with agent orchestration frameworks, multi-agent systems, and agentic AI architectures Deep expertise in prompt optimization, fine-tuning LLMs, and model evaluation techniques Experience with Customer Zero or early adopter programs influencing product development Knowledge of data engineering, ETL pipelines, and content processing at scale Experience with observability tools (Grafana, Datadog) and monitoring agent systems in production Contributions to technical communities, open-source projects, or conference speaking Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: #J-18808-Ljbffr Salesforce